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The Sally-Anne fallacy

25 philh 11 April 2016 01:06PM

Cross-posted from my blog

I'd like to coin a term. The Sally-Anne fallacy is the mistake of assuming that somone believes something, simply because that thing is true.1

The name comes from the Sally-Anne test, used in developmental psychology to detect theory of mind. Someone who lacks theory of mind will fail the Sally-Anne test, thinking that Sally knows where the marble is. The Sally-Anne fallacy is also a failure of theory of mind.

In internet arguments, this will often come up as part of a chain of reasoning, such as: you think X; X implies Y; therefore you think Y. Or: you support X; X leads to Y; therefore you support Y.2

So for example, we have this complaint about the words "African dialect" used in Age of Ultron. The argument goes: a dialect is a variation on a language, therefore Marvel thinks "African" is a language.

You think "African" has dialects; "has dialects" implies "is a language"; therefore you think "African" is a language.

Or maybe Marvel just doesn't know what a "dialect" is.

This is also a mistake I was pointing at in Fascists and Rakes. You think it's okay to eat tic-tacs; tic-tacs are sentient; therefore you think it's okay to eat sentient things. Versus: you think I should be forbidden from eating tic-tacs; tic-tacs are nonsentient; therefore you think I should be forbidden from eating nonsentient things. No, in both cases the defendant is just wrong about whether tic-tacs are sentient.

Many political conflicts include arguments that look like this. You fight our cause; our cause is the cause of [good thing]; therefore you oppose [good thing]. Sometimes people disagree about what's good, but sometimes they just disagree about how to get there, and think that a cause is harmful to its stated goals. Thus, liberals and libertarians symmetrically accuse each other of not caring about the poor.3

If you want to convince someone to change their mind, it's important to know what they're wrong about. The Sally-Anne fallacy causes us to mistarget our counterarguments, and to mistake potential allies for inevitable enemies.


  1. From the outside, this looks like "simply because you believe that thing".

  2. Another possible misunderstanding here, is if you agree that X leads to Y and Y is bad, but still think X is worth it.

  3. Of course, sometimes people will pretend not to believe the obvious truth so that they can further their dastardly ends. But sometimes they're just wrong. And sometimes they'll be right, and the obvious truth will be untrue.

Positivity Thread :)

24 Viliam 08 April 2016 09:34PM

Hi everyone! This is an experimental thread to relax and enjoy the company of other aspiring rationalists. Special rules for communication and voting apply here. Please play along!

(If for whatever reason you cannot or don't want to follow the rules, please don't post in this thread. However, feel free to voice your opinion in the corresponding meta thread.)

Here is the spirit of the rules:

  • be nice
  • be cheerful
  • don't go meta

 

And here are the details:

 

On the scale from negative (hostility, complaints, passive aggression) through neutral (bare facts) to positive (happiness, fun, love), please only post comments from the "neutral to positive" half. Preferably at least slightly positive; but don't push yourself too far if you don't feel so. The goal is to make both yourself and your audience feel comfortable.

If you disagree with someone, please consider whether the issue is important enough to disagree openly. If it isn't, you also have an option to simply skip the comment. You can send the author a private message. Or you can post your disagreement in the meta thread (and then send them the link in a private message). If you still believe it is better to disagree here, please do it politely and friendly.

Avoid inherently controversial topics, such as politics, religion, or interpretations of quantum physics.

Feel free to post stuff that normally doesn't get posted on LessWrong. Feel free to be silly, as long as it harms no one. Emoticons are allowed. Note: This website supports Unicode. ◕‿◕

 

Upvote the stuff you like. :)

Downvote only the stuff that breaks the rules. :( In this thread, the proper reaction to a comment that you don't like, but doesn't break the rules, is to ignore it.

Please don't downvote a comment below zero, unless you believe that the breaking of rules was intentional.

(Note: There is one user permanently banned from this website. Any comment posted from any of this user's new accounts is considered an intentional breaking of the rules, regardless of its content.)

 

Don't go meta in this thread. If you want to discuss whether the rules here should be different, or whether a specific comment did or didn't break the rules, or something like that, please use the meta thread.

Don't abuse the rules. I already know that you are clever, and that you could easily break the spirit of the rules while following the letter. Just don't, please.

Even if you notice or suspect that other people are breaking some of the rules, please continue following all the rules. Don't let one uncooperative person start an avalanche of defection. That includes if you notice that people are not voting according to the rules. If necessary, complain in the meta thread.

 

Okay, that's enough rules for today. Have fun! I love you! ❤ ❤ ❤ ٩(⁎❛ᴗ❛⁎)۶

 

EDIT: Oops, I forgot the most important part. LOL! The topic is "anything that makes you happy" (basically Open Thread / Bragging Thread / etc., but only the positive things).

A Second Year of Spaced Repetition Software in the Classroom

23 tanagrabeast 01 May 2016 10:14PM

This is a follow-up to last year's report. Here, I will talk about my successes and failures using Spaced Repetition Software (SRS) in the classroom for a second year. The year's not over yet, but I have reasons for reporting early that should become clear in a subsequent post. A third post will then follow, and together these will constitute a small sequence exploring classroom SRS and the adjacent ideas that bubble up when I think deeply about teaching.

Summary

I experienced net negative progress this year in my efforts to improve classroom instruction via spaced repetition software. While this is mostly attributable to shifts in my personal priorities, I have also identified a number of additional failure modes for classroom SRS, as well as additional shortcomings of Anki for this use case. My experiences also showcase some fundamental challenges to teaching-in-general that SRS depressingly spotlights without being any less susceptible to. Regardless, I am more bullish than ever about the potential for classroom SRS, and will lay out a detailed vision for what it can be in the next post.

continue reading »

2016 LessWrong Diaspora Survey Results

21 ingres 01 May 2016 08:26AM

Foreword:

As we wrap up the 2016 survey, I'd like to start by thanking everybody who took
the time to fill it out. This year we had 3083 respondents, more than twice the
number we had last year. (Source: http://lesswrong.com/lw/lhg/2014_survey_results/)
This seems consistent with the hypothesis that the LW community hasn't declined
in population so much as migrated into different communities. Being the *diaspora*
survey I had expectations for more responses than usual, but twice as many was
far beyond them.

Before we move on to the survey results, I feel obligated to put a few affairs
in order in regards to what should be done next time. The copyright situation
for the survey was ambiguous this year, and to prevent that from happening again
I'm pleased to announce that this years survey questions will be released jointly
by me and Scott Alexander as Creative Commons licensed content. We haven't
finalized the details of this yet so expect it sometime this month.

I would also be remiss not to mention the large amount of feedback we received
on the survey. Some of which led to actionable recommendations I'm going to
preserve here for whoever does it next:

- Put free response form at the very end to suggest improvements/complain.

- Fix metaethics question in general, lots of options people felt were missing.

- Clean up definitions of political affilations in the short politics section.
  In particular, 'Communist' has an overly aggressive/negative definition.

- Possibly completely overhaul short politics section.

- Everywhere that a non-answer is taken as an answer should be changed so that
  non answer means what it ought to, no answer or opinion. "Absence of a signal
  should never be used as a signal." - Julian Bigelow, 1947

- Give a definition for the singularity on the question asking when you think it
  will occur.

- Ask if people are *currently* suffering from depression. Possibly add more
  probing questions on depression in general since the rates are so extraordinarily
  high.

- Include a link to what cisgender means on the gender question.

- Specify if the income question is before or after taxes.

- Add charity questions about time donated.

- Add "ineligible to vote" option to the voting question.

- Adding some way for those who are pregnant to indicate it on the number of
  children question would be nice. It might be onerous however so don't feel
  obligated. (Remember that it's more important to have a smooth survey than it
  is to catch every edge case.)

And read this thread: http://lesswrong.com/lw/nfk/lesswrong_2016_survey/,
it's full of suggestions, corrections and criticism.

Without further ado,

Basic Results:

2016 LessWrong Diaspora Survey Questions (PDF Format)

2016 LessWrong Diaspora Survey Results (PDF Format, Missing 23 Responses)

2016 LessWrong Diaspora Survey Results Complete (Text Format, Null Entries Included)

2016 LessWrong Diaspora Survey Results Complete (Text Format, Null Entries Excluded)

Our report system is currently on the fritz and isn't calculating numeric questions. If I'd known this earlier I'd have prepared the results for said questions ahead of time. Instead they'll be coming out later today or tomorrow.

2016 LessWrong Diaspora Survey Public Dataset

(Note for people looking to work with the dataset: My survey analysis code repository includes a sqlite converter, examples, and more coming soon. It's a great way to get up and running with the dataset really quickly.)

In depth analysis:

Effective Altruism and Charitable Giving Analysis

Mental Health Stats By Diaspora Community (Including self dxers)

How Diaspora Communities Compare On Mental Health Stats (I suspect these charts are subtly broken somehow, will investigate later)

Political Opinions By Political Affiliation

Blogs And Media Demographic Clusters

More coming soon!

Survey Analysis Code

Some notes:

1. FortForecast on the communities section, Bayesed And Confused on the blogs section, and Synthesis on the stories section were all 'troll' answers designed to catch people who just put down everything. Somebody noted that the three 'fortforecast' users had the entire DSM split up between them, that's why.

2. Lots of people asked me for a list of all those cool blogs and stories and communities on the survey, they're included in the survey questions PDF above.

Public TODO:

1. Fix the report system or perform the calculations manually.

2. Add more in depth analysis, fix the ones that decided to suddenly break at the last minute or I suspect were always broken.

3. Finish public data release function and release public dataset.

4. See if I can make sense of the calibration questions.

5. Add a compatibility mode so that the current question codes are converted to older ones for 3rd party analysis that rely on them.

If anybody would like to help with these, write to jd@fortforecast.com

What is up with carbon dioxide and cognition? An offer

21 paulfchristiano 23 April 2016 05:47PM

One or two research groups have published work on carbon dioxide and cognition. The state of the published literature is confusing.

Here is one paper on the topic. The authors investigate a proprietary cognitive benchmark, and experimentally manipulate carbon dioxide levels (without affecting other measures of air quality). They find implausibly large effects from increased carbon dioxide concentrations.

If the reported effects are real and the suggested interpretation is correct, I think it would be a big deal. To put this in perspective, carbon dioxide concentrations in my room vary between 500 and 1500 ppm depending on whether I open the windows. The experiment reports on cognitive effects for moving from 600 and 1000 ppm, and finds significant effects compared to interindividual differences.

I haven't spent much time looking into this (maybe 30 minutes, and another 30 minutes to write this post). I expect that if we spent some time looking into indoor CO2 we could have a much better sense of what was going on, by some combination of better literature review, discussion with experts, looking into the benchmark they used, and just generally thinking about it.

So, here's a proposal:

  • If someone looks into this and writes a post that improves our collective understanding of the issue, I will be willing to buy part of an associated certificate of impact, at a price of around $100*N, where N is my own totally made up estimate of how many hours of my own time it would take to produce a similarly useful writeup. I'd buy up to 50% of the certificate at that price.
  • Whether or not they want to sell me some of the certificate, on May 1 I'll give a $500 prize to the author of the best publicly-available analysis of the issue. If the best analysis draws heavily on someone else's work, I'll use my discretion: I may split the prize arbitrarily, and may give it to the earlier post even if it is not quite as excellent.

Some clarifications:

  • The metric for quality is "how useful it is to Paul." I hope that's a useful proxy for how useful it is in general, but no guarantees. I am generally a pretty skeptical person. I would care a lot about even a modest but well-established effect on performance. 
  • These don't need to be new analyses, either for the prize or the purchase.
  • I reserve the right to resolve all ambiguities arbitrarily, and in the end to do whatever I feel like. But I promise I am generally a nice guy.
  • I posted this 2 weeks ago on the EA forum and haven't had serious takers yet.
(Thanks to Andrew Critch for mentioning these results to me and Jessica Taylor for lending me a CO2 monitor so that I could see variability in indoor CO2 levels. I apologize for deliberately not doing my homework on this post.)

The Web Browser is Not Your Client (But You Don't Need To Know That)

20 Error 22 April 2016 12:12AM

(Part of a sequence on discussion technology and NNTP. As last time, I should probably emphasize that I am a crank on this subject and do not actually expect anything I recommend to be implemented. Add whatever salt you feel is necessary)1


If there is one thing I hope readers get out of this sequence, it is this: The Web Browser is Not Your Client.

It looks like you have three or four viable clients -- IE, Firefox, Chrome, et al. You don't. You have one. It has a subforum listing with two items at the top of the display; some widgets on the right hand side for user details, RSS feed, meetups; the top-level post display; and below that, replies nested in the usual way.

Changing your browser has the exact same effect on your Less Wrong experience as changing your operating system, i.e. next to none.

For comparison, consider the Less Wrong IRC, where you can tune your experience with a wide range of different software. If you don't like your UX, there are other clients that give a different UX to the same content and community.

That is how the mechanism of discussion used to work, and does not now. Today, your user experience (UX) in a given community is dictated mostly by the admins of that community, and software development is often neither their forte nor something they have time for. I'll often find myself snarkily responding to feature requests with "you know, someone wrote something that does that 20 years ago, but no one uses it."

Semantic Collapse

What defines a client? More specifically, what defines a discussion client, a Less Wrong client?

The toolchain by which you read LW probably looks something like this; anyone who's read the source please correct me if I'm off:

Browser -> HTTP server -> LW UI application -> Reddit API -> Backend database.

The database stores all the information about users, posts, etc. The API presents subsets of that information in a way that's convenient for a web application to consume (probably JSON objects, though I haven't checked). The UI layer generates a web page layout and content using that information, which is then presented -- in the form of (mostly) HTML -- by the HTTP server layer to your browser. Your browser figures out what color pixels go where.

All of this is a gross oversimplification, obviously.

In some sense, the browser is self-evidently a client: It talks to an http server, receives hypertext, renders it, etc. It's a UI for an HTTP server.

But consider the following problem: Find and display all comments by me that are children of this post, and only those comments, using only browser UI elements, i.e. not the LW-specific page widgets. You cannot -- and I'd be pretty surprised if you could make a browser extension that could do it without resorting to the API, skipping the previous elements in the chain above. For that matter, if you can do it with the existing page widgets, I'd love to know how.

That isn't because the browser is poorly designed; it's because the browser lacks the semantic information to figure out what elements of the page constitute a comment, a post, an author. That information was lost in translation somewhere along the way.

Your browser isn't actually interacting with the discussion. Its role is more akin to an operating system than a client. It doesn't define a UX. It provides a shell, a set of system primitives, and a widget collection that can be used to build a UX. Similarly, HTTP is not the successor to NNTP; the successor is the plethora of APIs, for which HTTP is merely a substrate.

The Discussion Client is the point where semantic metadata is translated into display metadata; where you go from 'I have post A from user B with content C' to 'I have a text string H positioned above visual container P containing text string S.' Or, more concretely, when you go from this:

Author: somebody
Subject: I am right, you are mistaken, he is mindkilled.
Date: timestamp
Content: lorem ipsum nonsensical statement involving plankton....

to this:

<h1>I am right, you are mistaken, he is mindkilled.</h1>
<div><span align=left>somebody</span><span align=right>timestamp</span></div>
<div><p>lorem ipsum nonsensical statement involving plankton....</p></div>

That happens at the web application layer. That's the part that generates the subforum headings, the interface widgets, the display format of the comment tree. That's the part that defines your Less Wrong experience, as a reader, commenter, or writer.

That is your client, not your web browser. If it doesn't suit your needs, if it's missing features you'd like to have, well, you probably take for granted that you're stuck with it.

But it doesn't have to be that way.

Mechanism and Policy

One of the difficulties forming an argument about clients is that the proportion of people who have ever had a choice of clients available for any given service keeps shrinking. I have this mental image of the Average Internet User as having no real concept for this.

Then I think about email. Most people have probably used at least two different clients for email, even if it's just Gmail and their phone's built-in mail app. Or perhaps Outlook, if they're using a company system. And they (I think?) mostly take for granted that if they don't like Outlook they can use something else, or if they don't like their phone's mail app they can install a different one. They assume, correctly, that the content and function of their mail account is not tied to the client application they use to work with it.

(They may make the same assumption about web-based services, on the reasoning that if they don't like IE they can switch to Firefox, or if they don't like Firefox they can switch to Chrome. They are incorrect, because The Web Browser is Not Their Client)

Email does a good job of separating mechanism from policy. Its format is defined in RFC 2822 and its transmission protocol is defined in RFC 5321. Neither defines any conventions for user interfaces. There are good reasons for that from a software-design standpoint, but more relevant to our discussion is that interface conventions change more rapidly than the objects they interface with. Forum features change with the times; but the concepts of a Post, an Author, or a Reply are forever.

The benefit of this separation: If someone sends you mail from Outlook, you don't need to use Outlook to read it. You can use something else -- something that may look and behave entirely differently, in a manner more to your liking.

The comparison: If there is a discussion on Less Wrong, you do need to use the Less Wrong UI to read it. The same goes for, say, Facebook.

I object to this.

Standards as Schelling Points

One could argue that the lack of choice is for lack of interest. Less Wrong, and Reddit on which it is based, has an API. One could write a native client. Reddit does have them.

Let's take a tangent and talk about Reddit. Seems like they might have done something right. They have (I think?) the largest contiguous discussion community on the net today. And they have a published API for talking to it. It's even in use.

The problem with this method is that Reddit's API applies only to Reddit. I say problem, singular, but it's really problem, plural, because it hits users and developers in different ways.

On the user end, it means you can't have a unified user interface across different web forums; other forum servers have entirely different APIs, or none at all.2 It also makes life difficult when you want to move from one forum to another.

On the developer end, something very ugly happens when a content provider defines its own provision mechanism. Yes, you can write a competing client. But your client exists only at the provider's sufferance, subject to their decision not to make incompatible API changes or just pull the plug on you and your users outright. That isn't paranoia; in at least one case, it actually happened. Using an agreed-upon standard limits this sort of misbehavior, although it can still happen in other ways.

NNTP is a standard for discussion, like SMTP is for email. It is defined in RFC 3977 and its data format is defined in RFC 5536. The point of a standard is to ensure lasting interoperability; because it is a standard, it serves as a deliberately-constructed Schelling point, a place where unrelated developers can converge without further coordination.

Expertise is a Bottleneck

If you're trying to build a high-quality community, you want a closed system. Well kept gardens die by pacifism, and it's impossible to fully moderate an open system. But if you're building a communication infrastructure, you want an open system.

In the early Usenet days, this was exactly what existed; NNTP was standardized and open, but Usenet was a de-facto closed community, accessible mostly to academics. Then AOL hooked its customers into the system. The closed community became open, and the Eternal September began.3 I suspect, but can't prove, that this was a partial cause of the flight of discussion from Usenet to closed web forums.

I don't think that was the appropriate response. I think the appropriate response was private NNTP networks or even single servers, not connected to Usenet at large.

Modern web forums throw the open-infrastructure baby out with the open-community bathwater. The result, in our specific case, is that if we want something not provided by the default Less Wrong interface, it must be implemented by Less Wrongers.

I don't think UI implementation is our comparative advantage. In fact I know it isn't, or the Less Wrong UI wouldn't suck so hard. We're pretty big by web-forum standards, but we still contain only a tiny fraction of the Internet's technical expertise.

The situation is even worse among the diaspora; for example, at SSC, if Scott's readers want something new out of the interface, it must be implemented either by Scott himself or his agents. That doesn't scale.

One of the major benefits of a standardized, open infrastructure is that your developer base is no longer limited to a single community. Any software written by any member of any community backed by the same communication standard is yours for the using. Additionally, the developers are competing for the attention of readers, not admins; you can expect the reader-facing feature set to improve accordingly. If readers want different UI functionality, the community admins don't need to be involved at all.

A Real Web Client

When I wrote the intro to this sequence, the most common thing people insisted on was this: Any system that actually gets used must allow links from the web, and those links must reach a web page.

I completely, if grudgingly, agree. No matter how insightful a post is, if people can't link to it, it will not spread. No matter how interesting a post is, if Google doesn't index it, it doesn't exist.

One way to achieve a common interface to an otherwise-nonstandard forum is to write a gateway program, something that answers NNTP requests and does magic to translate them to whatever the forum understands. This can work and is better than nothing, but I don't like it -- I'll explain why in another post.

Assuming I can suppress my gag reflex for the next few moments, allow me to propose: a web client.

(No, I don't mean write a new browser. The Browser Is Not Your Client.4)

Real NNTP clients use the OS's widget set to build their UI and talk to the discussion board using NNTP. There is no fundamental reason the same cannot be done using the browser's widget set. Google did it. Before them, Deja News did it. Both of them suck, but they suck on the UI level. They are still proof that the concept can work.

I imagine an NNTP-backed site where casual visitors never need to know that's what they're dealing with. They see something very similar to a web forum or a blog, but whatever software today talks to a database on the back end, instead talks to NNTP, which is the canonical source of posts and post metadata. For example, it gets the results of a link to http://lesswrong.com/posts/message_id.html by sending ARTICLE message_id to its upstream NNTP server (which may be hosted on the same system), just as a native client would.

To the drive-by reader, nothing has changed. Except, maybe, one thing. When a regular reader, someone who's been around long enough to care about such things, says "Hey, I want feature X," and our hypothetical web client doesn't have it, I can now answer:

Someone wrote something that does that twenty years ago.

Here is how to get it.



  1. Meta-meta: This post took about eight hours to research and write, plus two weeks procrastinating. If anyone wants to discuss it in realtime, you can find me on #lesswrong or, if you insist, the LW Slack.

  2. The possibility of "universal clients" that understand multiple APIs is an interesting case, as with Pidgin for IM services. I might talk about those later.

  3. Ironically, despite my nostalgia for Usenet, I was a part of said September; or at least its aftermath.

  4. Okay, that was a little shoehorned in. The important thing is this: What I tell you three times is true.

Hedge drift and advanced motte-and-bailey

17 Stefan_Schubert 01 May 2016 02:45PM

Motte and bailey is a technique by which one protects an interesting but hard-to-defend view by making it similar to a less interesting but more defensible position. Whenever the more interesting position - the bailey - is attacked - one retreats to the more defensible one - the motte -, but when the attackers are gone, one expands again to the bailey. 

In that case, one and the same person switches between two interpretations of the original claim. Here, I rather want to focus on situations where different people make different interpretations of the original claim. The originator of the claim adds a number of caveats and hedges to their claim, which makes it more defensible, but less striking and sometimes also less interesting.* When others refer to the same claim, the caveats and hedges gradually disappear, however, making it more and more motte-like.

A salient example of this is that scientific claims (particularly in messy fields like psychology and economics) often come with a number of caveats and hedges, which tend to get lost when re-told. This is especially so when media writes about these claims, but even other scientists often fail to properly transmit all the hedges and caveats that come with them.

Since this happens over and over again, people probably do expect their hedges to drift to some extent. Indeed, it would not surprise me if some people actually want hedge drift to occur. Such a strategy effectively amounts to a more effective, because less observable, version of the motte-and-bailey-strategy. Rather than switching back and forth between the motte and the bailey - something which is at least moderately observable, and also usually relies on some amount of vagueness, which is undesirable - you let others spread the bailey version of your claim, whilst you sit safe in the motte. This way, you get what you want - the spread of the bailey version - in a much safer way.

Even when people don't use this strategy intentionally, you could argue that they should expect hedge drift, and that omitting to take action against it is, if not ouright intellectually dishonest, then at least approaching that. This argument would rest on the consequentialist notion that if you have strong reasons to believe that some negative event will occur, and you could prevent it from happening by fairly simple means, then you have an obligation to do so. I certainly do think that scientists should do more to prevent their views from being garbled via hedge drift. 

Another way of expressing all this is by saying that when including hedging or caveats, scientists often seem to seek plausible deniability ("I included these hedges; it's not my fault if they were misinterpreted"). They don't actually try to prevent their claims from being misunderstood. 

What concrete steps could one then take to prevent hedge-drift? Here are some suggestions. I am sure there are many more.

  1. Many authors use eye-catching, hedge-free titles and/or abstracts, and then only include hedges in the paper itself. This is a recipe for hedge-drift and should be avoided.
  2. Make abundantly clear, preferably in the abstract, just how dependent the conclusions are on keys and assumptions. Say this not in a way that enables you to claim plausible deniability in case someone misinterprets you, but in a way that actually reduces the risk of hedge-drift as much as possible. 
  3. Explicitly caution against hedge drift, using that term or a similar one, in the abstract of the paper.

* Edited 2/5 2016. By hedges and caveats I mean terms like "somewhat" ("x reduces y somewhat"), "slightly", etc, as well as modelling assumptions without which the conclusions don't follow and qualifications regarding domains in which the thesis don't hold.

JFK was not assassinated: prior probability zero events

17 Stuart_Armstrong 27 April 2016 11:47AM

A lot of my work involves tweaking the utility or probability of an agent to make it believe - or act as if it believed - impossible or almost impossible events. But we have to be careful about this; an agent that believes the impossible may not be so different from one that doesn't.

Consider for instance an agent that assigns a prior probability of zero to JFK ever having been assassinated. No matter what evidence you present to it, it will go on disbelieving the "non-zero gunmen theory".

Initially, the agent will behave very unusually. If it was in charge of JFK's security in Dallas before the shooting, it would have sent all secret service agents home, because no assassination could happen. Immediately after the assassination, it would have disbelieved everything. The films would have been faked or misinterpreted; the witnesses, deluded; the dead body of the president, that of twin or an actor. It would have had huge problems with the aftermath, trying to reject all the evidence of death, seeing a vast conspiracy to hide the truth of JFK's non-death, including the many other conspiracy theories that must be false flags, because they all agree with the wrong statement that the president was actually assassinated.

But as time went on, the agent's behaviour would start to become more and more normal. It would realise the conspiracy was incredibly thorough in its faking of the evidence. All avenues it pursued to expose them would come to naught. It would stop expecting people to come forward and confess the joke, it would stop expecting to find radical new evidence overturning the accepted narrative. After a while, it would start to expect the next new piece of evidence to be in favour of the assassination idea - because if a conspiracy has been faking things this well so far, then they should continue to do so in the future. Though it cannot change its view of the assassination, its expectation for observations converge towards the norm.

If it does a really thorough investigation, it might stop believing in a conspiracy at all. At some point, the probability of a miracle will start to become more likely than a perfect but undetectable conspiracy. It is very unlikely that Lee Harvey Oswald shot at JFK, missed, and the president's head exploded simultaneously for unrelated natural causes. But after a while, such a miraculous explanation will start to become more likely than anything else the agent can consider. This explanation opens the possibility of miracles; but again, if the agent is very thorough, it will fail to find evidence of other miracles, and will probably settle on "an unrepeatable miracle caused JFK's death in a way that is physically undetectable".

But then note that such an agent will have a probability distribution over future events that is almost indistinguishable from a normal agent that just believes the standard story of JFK being assassinated. The zero-prior has been negated, not in theory but in practice.

 

How to do proper probability manipulation

This section is still somewhat a work in progress.

So the agent believes one false fact about the world, but its expectation is otherwise normal. This can be both desirable and undesirable. The negative is if we try and control the agent forever by giving it a false fact.

To see the positive, ask why would we want an agent to believe impossible things in the first place? Well, one example was an Oracle design where the Oracle didn't believe its output message would ever be read. Here we wanted the Oracle to believe the message wouldn't be read, but not believe anything else too weird about the world.

In terms of causality, if X designates the message being read at time t, and B and A are event before and after t, respectively, we want P(B|X)≈P(B) (probabilities about current facts in the world shouldn't change much) while P(A|X)≠P(A) is fine and often expected (the future should be different if the message is read or not).

In the JFK example, the agent eventually concluded "a miracle happened". I'll call this miracle a scrambling point. It's kind of a breakdown in causality: two futures are merged into one, given two different pasts. The two pasts are "JFK was assassinated" and "JFK wasn't assassinated", and their common scrambled future is "everything appears as if JFK was assassinated". The non-assassination belief has shifted the past but not the future.

For the Oracle, we want to do the reverse: we want the non-reading belief to shift the future but not the past. However, unlike the JFK assassination, we can try and build the scrambling point. That's why I always talk about messages going down noisy wires, or specific quantum events, or chaotic processes. If the past goes through a truly stochastic event (it doesn't matter whether there is true randomness or just that the agent can't figure out the consequences), we can get what we want.

The Oracle idea will go wrong if the Oracle conclude that non-reading must imply something is different about the past (maybe it can see through chaos in ways we thought it couldn't), just as the JFK assassination denier will continue to be crazy if can't find a route to reach "everything appears as if JFK was assassinated".

But there is a break in the symmetry: the JFK assassination denier will eventually reach that point as long as the world is complex and stochastic enough. While the Oracle requires that the future probabilities be the same in all (realistic) past universes.

Now, once the Oracle's message has been read, the Oracle will find itself in the same situation as the other agent: believing an impossible thing. For Oracles, we can simply reset them. Other agents might have to behave more like the JFK assassination disbeliever. Though if we're careful, we can quantify things more precisely, as I attempted to do here.

My new rationality/futurism podcast

15 James_Miller 06 April 2016 05:36PM

I've started a podcast called Future Strategist which will focus on decision making and futurism.  I have created seven shows so far:  interviews of computer scientist Roman Yampolskiy, LW contributor Gleb Tsipursky, and artist/free speech activist Rachel Haywire, and monologues on game theory and Greek Mythology, the Prisoners' Dilemma, the sunk cost fallacy, and the Map and Territory.  

 

If you enjoy the show and use iTunes I would be grateful if you left a positive review at iTunes.  I would also be grateful for any feedback you might have including suggestions for future shows.  I'm not used to interviewing people and I know that I need to work on being more articulate in my interviews.

 

Geometric Bayesian Update

10 SquirrelInHell 09 April 2016 07:24AM

Today, I present to you Bayes theorem like you have never seen it before.

Take a moment to think: how would you calculate a Bayesian update using only basic geometry? I.e., you are given (as line segments) a prior P(H), and also P(E | H) and P(E | ~H) (or their ratio). How do you get P(H | E) only by drawing straight lines on paper?

Can you think of a way that would be possible to implement using a simple mechanical instrument?

It just so happens that today I noticed a very neat way to do this.

Have fun with this GeoGebra worksheet.

And here's a static image version if the live demo doesn't work for you:

 


Your math homework is to find a proof that this is indeed correct.

Hint: Vg'f cbffvoyr gb qb guvf ryrtnagyl naq jvgubhg nal pnyphyngvbaf, whfg ol ybbxvat ng engvbf bs nernf bs inevbhf gevnatyrf.

Please post answers in rot13, so that you don't spoil the fun for others who want to try.

 

 

[Link] White House announces a series of workshops on AI, expresses interest in safety

9 AspiringRationalist 04 May 2016 02:50AM

Using humility to counteract shame

8 Vika 15 April 2016 06:32PM

"Pride is not the opposite of shame, but its source. True humility is the only antidote to shame."

Uncle Iroh, "Avatar: The Last Airbender"

Shame is one of the trickiest emotions to deal with. It is difficult to think about, not to mention discuss with others, and gives rise to insidious ugh fields and negative spirals. Shame often underlies other negative emotions without making itself apparent - anxiety or anger at yourself can be caused by unacknowledged shame about the possibility of failure. It can stack on top of other emotions - e.g. you start out feeling upset with someone, and end up being ashamed of yourself for feeling upset, and maybe even ashamed of feeling ashamed if meta-shame is your cup of tea. The most useful approach I have found against shame is invoking humility.

What is humility, anyway? It is often defined as a low view of your own importance, and tends to be conflated with modesty. Another common definition that I find more useful is acceptance of your own flaws and shortcomings. This is more compatible with confidence, and helpful irrespective of your level of importance or comparison to other people. What humility feels like to me on a system 1 level is a sense of compassion and warmth towards yourself while fully aware of your imperfections (while focusing on imperfections without compassion can lead to beating yourself up). According to LessWrong, "to be humble is to take specific actions in anticipation of your own errors", which seems more like a possible consequence of being humble than a definition.

Humility is a powerful tool for psychological well-being and instrumental rationality that is more broadly applicable than just the ability to anticipate errors by seeing your limitations more clearly. I can summon humility when I feel anxious about too many upcoming deadlines, or angry at myself for being stuck on a rock climbing route, or embarrassed about forgetting some basic fact in my field that I am surely expected to know by the 5th year of grad school. While humility comes naturally to some people, others might find it useful to explicitly build an identity as a humble person. How can you invoke this mindset?

One way is through negative visualization or pre-hindsight, considering how your plans could fail, which can be time-consuming and usually requires system 2. A faster and less effortful way is to is to imagine a person, real or fictional, who you consider to be humble. I often bring to mind my grandfather, or Uncle Iroh from the Avatar series, sometimes literally repeating the above quote in my head, sort of like an affirmation. I don't actually agree that humility is the only antidote to shame, but it does seem to be one of the most effective.

(Cross-posted from my blog. Thanks to Janos Kramar for his feedback on this post.)

The Science of Effective Fundraising: Four Common Mistakes to Avoid

8 Gleb_Tsipursky 11 April 2016 03:19PM

This article will be of interest primarily for Effective Altruists. It's also cross-posted to the EA Forum.

 

 

Summary/TL;DR: Charities that have the biggest social impact often get significantly less financial support than rivals that tell better stories but have a smaller social impact. Drawing on academic research across different fields, this article highlights four common mistakes that fundraisers for effective charities should avoid and suggests potential solutions to these mistakes. 1) Focus on individual victims as well as statistics; 2) Present problems that are solvable by individual donors; 3) Avoid relying excessively on matching donations and focus on learning about your donors; 4) Empower your donors and help them feel good.

 

 

Co-written by Gleb Tsipursky and Peter Slattery


 

Acknowledgments: Thanks to Stefan Schubert, Scott Weathers, Peter Hurford, David Moss, Alfredo Parra, Owen Shen, Gina Stuessy, Sheannal Anthony Obeyesekere and other readers who prefer to remain anonymous for providing feedback on this post. The authors take full responsibility for all opinions expressed here and any mistakes or oversights. Versions of this piece will be published on The Life You Can Save blog and the Intentional Insights blog.

 

Intro

Charities that use their funds effectively to make a social impact frequently struggle to fundraise effectively. Indeed, while these charities receive plaudits from those committed to measuring and comparing the impact of donations across sectors, many effective charities have not successfully fundraised large sums outside of donors focused highly on impact.

 

In many cases, this situation results from the beliefs of key stakeholders at effective charities. Some think that persuasive fundraising tactics are “not for them”  and instead assume that presenting hard data and statistics will be optimal as they believe that their nonprofit’s effectiveness can speak for itself.

The belief that a nonprofit’s effectiveness can speak for itself can be very harmful to fundraising efforts as it overlooks the fact that donors do not always optimise their giving for social impact. Instead, studies suggest that donors’ choices are influenced by many other considerations, such as a desire for a warm glow, social prestige, or being captured by engrossing stories. Indeed, charities that have the biggest social impact often get significantly less financial support than rivals that tell better stories but have a smaller social impact. For example, while one fundraiser collected over $700,000 to remove a young girl from a well and save a single life, most charities struggle to raise anything proportionate for causes that could save many more lives or lift thousands out of poverty.

 

Given these issues, the aim of this article is to use available science on fundraising and social impact to address some of the common misconceptions that charities may have about fundraising and, hopefully, make it easier for effective charities to also become more effective at fundraising. To do this it draws on academic research across different fields to highlight four common mistakes that those who raise funds for effective charities should avoid and suggest potential solutions to these mistakes.

 

Don’t forget individual victims

 

Many fundraisers focus on using statistics and facts to convey the severity of the social issues they tackle. However, while fact and statistics are often an effective way to convince potential donors, it is important to recognise that different people are persuaded by different things. While some individuals are best persuaded to do good deeds through statistics and facts, others are most influenced by the closeness and vividness of the suffering. Indeed, it has been found that people often prefer to help a single identifiable victim, rather than many faceless victims; the so-called identifiable victim effect.

 

One way in which charities can cover all bases is to complement their statistics by telling stories about one or more of the most compelling victims. Stories have been shown to be excellent ways of tapping emotions, and stories told using video and audio are likely to be particularly good at creating vivid depictions of victims that compel others to want to help them.

 

Don’t overemphasise the problem

 

Focusing on the size of the problem has been shown to be ineffective for at least two reasons. First, most people prefer to give to causes where they can save the greatest portion of people. This means that rather than save 100 out of 1,000 victims of malaria, the majority of people would rather use the same or even more resources to save all five out of five people stranded on a boat or one girl stranded in a well with the same amount of resources, even if saving 100 people is clearly the more rational choice. People being reluctant to help where they feel their impact is not going to be significant is often called the drop in the bucket effect.

 

Second, humans have a tendency to neglect the scope of the problem when dealing with social issues. This is called scope insensitivity: people do not scale up their efforts in proportion to a problem’s true size. For example, a donor willing to give $100 to help one person might only be willing to give $200 to help 100 people, instead of the proportional amount of $10,000.

 

Of course charities often need to deal with big problems. In such cases one solution is to break these big problems into smaller pieces (e.g., individuals, families or villages) and present situations on a scale that the donor can relate to and realistically address through their donation.

 

Don’t assume that matching donations is always a good way to spend funds

 

Charitable fundraisers frequently put a lot of emphasis on arranging for big donors to offer to match any contributions from smaller donors. Intuitively, donation matching seems to be a good incentive for givers as they will generate twice (sometimes three times) the social impact for donating the same amount. However, research provides insufficient evidence to support or discourage donation matching: after reviewing the evidence, Ben Kuhn argues that its positive effects on donations are relatively small (and highly uncertain), and that sometimes the effects can be negative.

 

Given the lack of strong supporting research, charities should make sure to check that donation matching works for them and should also consider other ways to use their funding from large donors. One option is to use some of this money to cover experiments and other forms of prospect research to better understand their donors’ reasons for giving. Another is to pay various non-program costs so that a charity may claim that more of the smaller donors’ donations will go to program costs, or to use big donations as seed money for a fundraising campaign.

 

Don't forget to empower donors and help them feel good

 

Charities frequently focus on showing tragic situations to motivate donors to help.  However, charities can sometimes go too far in focusing on the negatives as too much negative communication can overwhelm and upset potential donors, which can deter them from giving. Additionally, while people often help due to feeling sadness for others, they also give for the warm glow and feeling of accomplishment that they expect to get from helping.

 

Overall, charities need to remember that most donors want to feel good for doing good and ensure that they achieve this. One reason why the ALS Ice Bucket Challenge was such an incredibly effective approach to fundraising was that it gave donors the opportunity to have a good time, while also doing good. Even when it isn’t possible to think of a clever new way to make donors feel good while donating, it is possible to make donors look good by publicly thanking and praising them for their donations. Likewise it is possible to make them feel important and satisfied by explaining how their donations have been key to resolving tragic situations and helping address suffering.

 

Conclusion

 

Remember four key strategies suggested by the research:

 

1) Focus on individual victims as well as statistics

 

2) Present problems that are solvable by individual donors

 

3) Avoid relying excessively on matching donations and focus on learning about your donors

 

4) Empower your donors and help them feel good.

 

By following these strategies and avoiding the mistakes outlined above, you will not only provide high-impact services, but will also be effective at raising funds.


Collaborative Truth-Seeking

6 Gleb_Tsipursky 04 May 2016 11:28PM

Summary: We frequently use debates to resolve different opinions about the truth. However, debates are not always the best course for figuring out the truth. In some situations, the technique of collaborative truth-seeking may be more optimal.

 

Acknowledgments: Thanks to Pete Michaud, Michael Dickens, Denis Drescher, Claire Zabel, Boris Yakubchik, Szun S. Tay, Alfredo Parra, Michael Estes, Aaron Thoma, Alex Weissenfels, Peter Livingstone, Jacob Bryan, Roy Wallace, and other readers who prefer to remain anonymous for providing feedback on this post. The author takes full responsibility for all opinions expressed here and any mistakes or oversights.

 

The Problem with Debates

 

Aspiring rationalists generally aim to figure out the truth, and often disagree about it. The usual method of hashing out such disagreements in order to discover the truth is through debates, in person or online.

 

Yet more often than not, people on opposing sides of a debate end up seeking to persuade rather than prioritizing truth discovery. Indeed, research suggests that debates have a specific evolutionary function – not for discovering the truth but to ensure that our perspective prevails within a tribal social context. No wonder debates are often compared to wars.

 

We may hope that as aspiring rationalists, we would strive to discover the truth during debates. Yet given that we are not always fully rational and strategic in our social engagements, it is easy to slip up within debate mode and orient toward winning instead of uncovering the truth. Heck, I know that I sometimes forget in the midst of a heated debate that I may be the one who is wrong – I’d be surprised if this didn’t happen with you. So while we should certainly continue to engage in debates, we should also use additional strategies – less natural and intuitive ones. These strategies could put us in a better mindset for updating our beliefs and improving our perspective on the truth. One such solution is a mode of engagement called collaborative truth-seeking.


Collaborative Truth-Seeking

 

Collaborative truth-seeking is one way of describing a more intentional approach in which two or more people with different opinions engage in a process that focuses on finding out the truth. Collaborative truth-seeking is a modality that should be used among people with shared goals and a shared sense of trust.

 

Some important features of collaborative truth-seeking, which are often not present in debates, are: focusing on a desire to change one’s own mind toward the truth; a curious attitude; being sensitive to others’ emotions; striving to avoid arousing emotions that will hinder updating beliefs and truth discovery; and a trust that all other participants are doing the same. These can contribute to increased  social sensitivity, which, together with other attributes, correlate with accomplishing higher group performance  on a variety of activities.

 

The process of collaborative truth-seeking starts with establishing trust, which will help increase social sensitivity, lower barriers to updating beliefs, increase willingness to be vulnerable, and calm emotional arousal. The following techniques are helpful for establishing trust in collaborative truth-seeking:

  • Share weaknesses and uncertainties in your own position

  • Share your biases about your position

  • Share your social context and background as relevant to the discussion

    • For instance, I grew up poor once my family immigrated to the US when I was 10, and this naturally influences me to care about poverty more than some other issues, and have some biases around it - this is one reason I prioritize poverty in my Effective Altruism engagement

  • Vocalize curiosity and the desire to learn

  • Ask the other person to call you out if they think you're getting emotional or engaging in emotive debate instead of collaborative truth-seeking, and consider using a safe word



Here are additional techniques that can help you stay in collaborative truth-seeking mode after establishing trust:

  • Self-signal: signal to yourself that you want to engage in collaborative truth-seeking, instead of debating

  • Empathize: try to empathize with the other perspective that you do not hold by considering where their viewpoint came from, why they think what they do, and recognizing that they feel that their viewpoint is correct

  • Keep calm: be prepared with emotional management to calm your emotions and those of the people you engage with when a desire for debate arises

    • watch out for defensiveness and aggressiveness in particular

  • Go slow: take the time to listen fully and think fully

  • Consider pausing: have an escape route for complex thoughts and emotions if you can’t deal with them in the moment by pausing and picking up the discussion later

    • say “I will take some time to think about this,” and/or write things down

  • Echo: paraphrase the other person’s position to indicate and check whether you’ve fully understood their thoughts

  • Be open: orient toward improving the other person’s points to argue against their strongest form

  • Stay the course: be passionate about wanting to update your beliefs, maintain the most truthful perspective, and adopt the best evidence and arguments, no matter if they are yours of those of others

  • Be diplomatic: when you think the other person is wrong, strive to avoid saying "you're wrong because of X" but instead to use questions, such as "what do you think X implies about your argument?"

  • Be specific and concrete: go down levels of abstraction

  • Be clear: make sure the semantics are clear to all by defining terms

  • Be probabilistic: use probabilistic thinking and probabilistic language, to help get at the extent of disagreement and be as specific and concrete as possible

    • For instance, avoid saying that X is absolutely true, but say that you think there's an 80% chance it's the true position

    • Consider adding what evidence and reasoning led you to believe so, for both you and the other participants to examine this chain of thought

  • When people whose perspective you respect fail to update their beliefs in response to your clear chain of reasoning and evidence, update a little somewhat toward their position, since that presents evidence that your position is not very convincing

  • Confirm your sources: look up information when it's possible to do so (Google is your friend)

  • Charity mode: trive to be more charitable to others and their expertise than seems intuitive to you

  • Use the reversal test to check for status quo bias

    • If you are discussing whether to change some specific numeric parameter - say increase by 50% the money donated to charity X - state the reverse of your positions, for example decreasing the amount of money donated to charity X by 50%, and see how that impacts your perspective

  • Use CFAR’s double crux technique

    • In this technique, two parties who hold different positions on an argument each writes the the fundamental reason for their position (the crux of their position). This reason has to be the key one, so if it was proven incorrect, then each would change their perspective. Then, look for experiments that can test the crux. Repeat as needed. If a person identifies more than one reason as crucial, you can go through each as needed. More details are here.  


Of course, not all of these techniques are necessary for high-quality collaborative truth-seeking. Some are easier than others, and different techniques apply better to different kinds of truth-seeking discussions. You can apply some of these techniques during debates as well, such as double crux and the reversal test. Try some out and see how they work for you.


Conclusion

 

Engaging in collaborative truth-seeking goes against our natural impulses to win in a debate, and is thus more cognitively costly. It also tends to take more time and effort than just debating. It is also easy to slip into debate mode even when using collaborative truth-seeking, because of the intuitive nature of debate mode.

 

Moreover, collaborative truth-seeking need not replace debates at all times. This non-intuitive mode of engagement can be chosen when discussing issues that relate to deeply-held beliefs and/or ones that risk emotional triggering for the people involved. Because of my own background, I would prefer to discuss poverty in collaborative truth-seeking mode rather than debate mode, for example. On such issues, collaborative truth-seeking can provide a shortcut to resolution, in comparison to protracted, tiring, and emotionally challenging debates. Likewise, using collaborative truth-seeking to resolve differing opinions on all issues holds the danger of creating a community oriented excessively toward sensitivity to the perspectives of others, which might result in important issues not being discussed candidly. After all, research shows the importance of having disagreement in order to make wise decisions and to figure out the truth. Of course, collaborative truth-seeking is well suited to expressing disagreements in a sensitive way, so if used appropriately, it might permit even people with triggers around certain topics to express their opinions.

 

Taking these caveats into consideration, collaborative truth-seeking is a great tool to use to discover the truth and to update our beliefs, as it can get past the high emotional barriers to altering our perspectives that have been put up by evolution. Rationality venues are natural places to try out collaborative truth-seeking.

 

 

 

Paid research assistant position focusing on artificial intelligence and existential risk

6 crmflynn 02 May 2016 06:27PM

Yale Assistant Professor of Political Science Allan Dafoe is seeking Research Assistants for a project on the political dimensions of the existential risks posed by advanced artificial intelligence. The project will involve exploring issues related to grand strategy and international politics, reviewing possibilities for social scientific research in this area, and institution building. Familiarity with international relations, existential risk, Effective Altruism, and/or artificial intelligence are a plus but not necessary. The project is done in collaboration with the Future of Humanity Institute, located in the Faculty of Philosophy at the University of Oxford. There are additional career opportunities in this area, including in the coming academic year and in the future at Yale, Oxford, and elsewhere. If interested in the position, please email allan.dafoe@yale.edu with a copy of your CV, a writing sample, an unofficial copy of your transcript, and a short (200-500 word) statement of interest. Work can be done remotely, though being located in New Haven, CT or Oxford, UK is a plus.

[LINK] Updating Drake's Equation with values from modern astronomy

6 DanArmak 30 April 2016 10:08PM

A paper published in AstrobiologyA New Empirical Constraint on the Prevalence of Technological Species in the Universe (PDF), A. Frank and W.T. Sullivan.

From the abstract:

Recent advances in exoplanet studies provide strong constraints on all astrophysical terms in the Drake equation. [...] We find that as long as the probability that a habitable zone planet develops a technological species is larger than ~ 10-24, humanity is not the only time technological intelligence has evolved.

They say we now know with reasonable certainty the total number of stars ever to exist (in the observable universe), and the average number of planets in the habitable zone. But we still don't know the probabilities of life, intelligence, and technology arising. They call this cumulative unknown factor fbt.

Their result: for technological civilization to arise no more than once, with probability 0.01, in the lifetime of the observable universe, fbt should be no greater than ~ 2.5 x 10-24.


Discussion

It's convenient that they calculate the chance technological civilization ever arose, rather than the chance one exists now. This is just the number we need to estimate the likelihood of a Great Filter.

They state their result as "[if we set fbt ≤ 2.5 x 10-24, then] at in a statistical sense were we to rerun the history of the Universe 100 times, only once would a lone technological species occur". But I don't know what rerunning the Universe means. I also can't formulate this as saying "if we hadn't already observed the Universe to be apparently empty of life, we would expect it to contain or to have once contained life with a probability of 1024", because that would ignore the chance that another civilization (if it counterfactually existed) would have affected or prevented the rise of life on Earth. Can someone help reformulate this? 

I don't know if their modern values for star and planet formation have been used in previous discussions of the Fermi paradox or the Great Filter. (The papers they cite for their values date from 2012, 2013 and 2015.) I also don't know if these values should be trusted, or what concrete values had been used previously. People on top of the Great Filter discussion probably already updated when the astronomical data came in.

The Thyroid Madness: Two Apparently Contradictory Studies. Proof?

6 johnlawrenceaspden 10 April 2016 08:21PM

Recap: (See also: http://lesswrong.com/r/discussion/lw/nef/the_thyroid_madness_core_argument_evidence/ and previous posts)

Chronic Fatigue Syndrome and Fibromyalgia all look far too much like the classical presentation of hypothyroidism for comfort, but thyroid hormone blood tests are normal.

Many alternative medicine practitioners, most prominently John Lowe, and several conventional medical doctors, most prominently Kenneth Blanchard, a practising endocrinologist with a longstanding practice completely free of lawsuits, have tried diagnosing hypothyroidism 'by clinical symptoms', and treating it with various combinations of thyroid hormones, and they all report success, but the practice is dismissed as ignorant and dangerous quackery by conventional medicine.

I suspect that there are acquired 'hormone resistance' or 'type II' versions of all the various endocrine disorders. These would produce the symptoms without reducing the levels of the hormones in the blood. However hormone treatments should still work, simply by overwhelming the resistance.

We know that diabetes comes in two forms, (type I) gland failure and (type II), 'insulin resistance', and that the resistance version is usually acquired rather than inborn. The mechanism for the resistance version of diabetes is mysterious.

There are known to be corresponding 'gland failure' and 'resistance' versions of diseases associated with all the other endocrine hormones, but for some reason the resistance versions are thought to be very rare, and only to be inherited, never acquired.

Should such acquired resistance mechanisms exist and be common, then on evolutionary grounds they would have to be caused by the direct action of pathogens, be a side effect of immune defense against such pathogens, or have an environmental cause. Nothing else would be stable.

Chronic Fatigue Syndrome often seems to start with an infection.


 


I thought until recently that the problem must be rather complex, and depend on subtle balances of hormones in a complicated system. The idea is so simple and obvious that if it were straightforwardly true, it isn't credible that it would have been missed.

But it turns out that there have been two formal studies of the simplest possible version of idea (treat the symptoms of hypothyroidism with thyroxine) in the medical literature. And they're all I've managed to find. Further examples would be most welcome.

The two studies are apparently contradictory, but there's no real contradiction, in fact the second supports the first.

The first:

Clinical Response to Thyroxine Sodium in Clinically Hypothyroid but Biochemically Euthyroid Patients
G. R. B. SKINNER MD DSc FRCPath FRCOG, D. HOLMES, A. AHMAD PhD, J. A. DAVIES BSc and J. BENITEZ MSc

was an open trial done in 2000, by Gordon Skinner in Birmingham.

Dr Skinner took 139 patients, all of whom had symptoms consistent with a clinical diagnosis of hypothyroidism.

Of these the majority had been diagnosed with CFS or ME or Post-Viral Fatigue Syndrome, but thirty had been diagnosed with Major Depression, which also has all the right symptoms.

Dr Skinner started off with small doses of thyroxine, and slowly increased the doses, to quite high levels, until the patients got better. He reported that they all got considerably better. In fact his results are phenomenally good.

He mentioned the possibility of placebo effect, and the necessity of ruling it by placebo-controlled blinded randomised trial in the paper, but thought it unlikely. Many of these patients had been seriously ill for many years, and had usually tried a lot of things already.

[ From the study ]  In the absence of a control group, a placebo effect cannot be excluded in this or any study. However, the average duration of illness was 7.5 years in patients who had usually undergone an alarming array of traditional and alternative medications without significant improvement as evidenced by their wish to seek further medical advice. Secondly, certain clinical features allowed objective assessment, namely change in appearance, hair or skin texture, reduction in size of tongue and thyroid gland and increase in pulse rate.

If these patients hadn't had a hormone resistance, he would have done them very serious harm! He kept increasing the dose until it worked, and the highest dose he used was 300mg of thyroxine. That's more than the amount you'd usually use to completely replace the output of a removed thyroid gland. Given that all these people had normal hormone levels to start with, if the patient was not resisting the hormone, this should have caused a range of extremely unpleasant symptoms, including death.

He mentions no adverse effects whatsoever.

Dr Skinner wrote to the British Medical Journal suggesting that thryoxine should be tried in cases where the clinical symptoms of hypothyroidism were present but the blood tests were normal.

This prompted a small trial:

Thyroxine treatment in patients with symptoms of hypothyroidism but thyroid function tests within the reference range: randomised double blind placebo controlled crossover trial  

M Anne Pollock, Alison Sturrock, Karen Marshall, Kate M Davidson, Christopher J G Kelly, Alex D McMahon, E Hamish McLaren


This trial looks very well designed and established that:

(a) There was a huge placebo effect in the patients

(b) Thyroxine is very strongly disliked by the healthy controls (they could tell it from placebo and hated it)

(c) The patient group couldn't tell the difference between thyroxine and placebo (on average).

This result is very interesting of itself, and I make no criticism of the brave GPs who organised it in response to Skinner's letter, but unfortunately it has been taken as a refutation of Skinner's methods. Which it is not. In fact it supports him.

In fact there are two obvious relevant differences between what they did and what Skinner did:

(i) They used a fixed dose for everyone (100mg thyroxine / day) and made no attempt to tailor the dose to the patient.

I suspect that this would have made Skinner's treatment less effective, but it should still have worked.

(ii) They used very different criteria for selecting their patients.

Skinner had carefully done a 'clinical diagnosis' of hypothyroidism, using 16 symptoms, most of which were present in the majority of his patients.

The criteria for the formal trial were:

At least three of the following symptoms for six months: tiredness, lethargy, weight gain or inability to lose weight, intolerance to cold, hair loss, or dry skin or hair.

So a fat person with dry hair who didn't get enough sleep would have qualified as a patient.

This is utterly inadequate as a diagnosis of hypothyroidism! It is a famously difficult disease to diagnose!

Their patient group would have consisted mainly of people who didn't have the clinical symptoms of hypothyroidism.

If the type II version is rare or non-existent, then it would have included no real patients at all.

If the type II version is very common, then at least some of the patient group should have had the disease Skinner said he could cure.

What I think must have happened here is that the treatment produced great improvements in a few patients, and caused unpleasant symptoms in all the rest. This averaged out to 'can't tell the difference between placebo and treatment'. Remember that healthy people can!

I deduce that Skinner's treatment works pretty much as well as he thought it did, and that the disease he was curing is very common indeed.

Can anyone explain these two studies in any other way?




Conclusion

When combined with Sarah Myhill's paper showing that the principal cause of chronic fatigue is 'mitochondrial dysfunction', and that the action of the thyroid hormone is to stimulate the mitochondria, I think the case for a 'thyroid hormone resistance' disease manifesting as Chronic Fatigue Syndrome is unanswerable.

At the very least, this should be investigated.

I now believe my own argument, which until I saw Skinner's paper appeared even to me to be a wild idea made up from shreds of mathematical intuition and questionable evidence from biased sources. I think that Skinner's treatment is unlikely to be optimal, and research into what is actually going on needs to be done.

The problem, if it does exist, is likely to be extremely widespread, and explain far more than the mystery of Chronic Fatigue Syndrome and Fibromyalgia. I immediately claim Major Depressive Disorder and Irritable Bowel Syndrome as alternative labels for: 'type II hypothyroidism'. There is a large cluster of these diseases, all mysterious, all with very similar symptoms, known as the 'central sensitivity syndromes'.

And I should like to add that 'blood cholesterol' was once a test for hypothyroidism, so there are probably implications for heart disease as well. Anyone interested in the wider implications might want to take a look at Broda Barnes' work. I started off thinking he was a lunatic. I'm now fairly sure he must have been right all along.

I think it's now urgent to bring this to the attention of the medical profession and the sufferers' groups. Has anyone got any ideas how to do that?

 


 

Edit:

Two excellent arguments made on reddit's r/CFS group by EmergencyLies (I paraphrase/steelman him):

  • If there's a widespread hormone resistance version of hypothyroidism, where are the most severe cases?

(i) The mild version may be polymorphic, but the severe 'myxoedema' described in Victorian literature was the sort of thing that could be diagnosed on sight (or by hearing the voice) by anyone who'd seen a few severe cases.

(ii) One hears anecdotes of people who can tolerate insane levels of T3. If the hormone resistance can get that severe, why isn't the same problem killing people, or at least making them obviously hypothyroid?

I can't answer this one. Where are they? This is the best objection to this idea that I have seen in three months. Does anyone know of people with really obvious hypothyroidism and normal TSH values?

and:

  • CFS should look like hypothyroidism, but doesn't

(i) Skinner and Pollock together strongly suggest that there's a widespread form of hypothyroidism, undetected by usual blood tests, but treatable with thyroxine

(ii) Anyone with hypothyroidism but normal blood tests is going to get diagnosed with something like CFS/FMS/IBS/MDD etc...

(iii) Some of those people are going to end up diagnosed with CFS. Probably lots, if it's widespread.

(iv) Hypothyroidism causes lowered heart rate

(v) But CFS patients have raised heart rates, (on average?).

Those five things together look like a proof of contradiction, so one of them must be wrong.

 

I think it's (iv). Billewicz's clinical hypothyroidism test doesn't think heart rate has diagnostic value. Thus there were both low and high heart rates in hypothyroidism. I suspect that there's a low basal heart rate because of low metabolism, but that it goes high and stays high after even mild exercise because of the need to clear fatigue poison. Also, of course, hypothyroidism weakens the heart like any other muscle, so heart rate would actually need to be higher to pump the same amount of blood.

The 'why does it even tell me this' moment

5 Romashka 01 May 2016 08:15AM

Edited based on the outline kindly provided by Gram_Stone, whom I thank.

There is a skill of reading and thinking which I haven't learned so far: of looking for implications as one goes through the book, simply putting it back on shelf until one's mind has run out of the inferences, perhaps writing them down. I think it would be easier to do with books that [have pictures]

- invite an attitude (like cooking shows or Darwin's travel accounts or Feynman's biography: it doesn't have to be "personal"),

- are/have been regularly needed (ideally belong to you so you can make notes on the margins),

- are either outdated (so you "take it with a grain of salt" and have the option of looking for a current opinion) or very new,

- are not highly specialized,

- are well-structured, preferably into one- to a-few-pages-long chapters,

- allow reading those chapters out of order*,

- (make you) recognize that you do not need this knowledge for its own sake,

- can be shared, or at least shown to other people, and talked about, etc. (Although I keep imagining picture albums when I read the list, so maybe I missed something.)

These features are what attracts me to an amateur-level Russian plant identification text of the 1948.** It was clearly written, and didn't contain many species of plants that the author considered to be easily grouped with others for practical purposes. It annoyed me when I expected the book to hold certain information that it didn't (a starting point - I have to notice something to want to think). This is merely speculation, but I suspect that the author omitted many of the species that they did because the book was intended to convey agricultural knowledge of great economic importance to the Soviet population of the time (although some included details were clearly of less import, botanists know that random bits trivia might help recognizing the plant in the field, which established a feeling of kinship - the realisation that the author's goal was to teach how to use the book, and how to get by without it on hand). I found the book far more entertaining to read when I realized that I would have to evaluate it in this context, even though one might think that this would actually make it more difficult to read. I was surprised that something as simple as glancing at a note on beetroot production rates could make me do more cognitive work than any cheap trick that I'd ever seen a pedagogical author try to perform purposefully.

There may be other ways that books could be written to spontaneously cause independent thought in their audiences. Perhaps we can do this on purpose. Or perhaps the practice of making inferences beyond what is obviously stated in books can be trained.

* which might be less useful for people learning about math.

** Ф. Нейштадт. Определитель растений. - Учпедгиз, 1948. - 476 с. An identification key gives you an algorithm, a branching path which must end with a Latin name, which makes using it leisurely a kind of game. If you cannot find what you see, then either you've made a mistake or it isn't there.

Sleepwalk bias, self-defeating predictions and existential risk

5 Stefan_Schubert 22 April 2016 06:31PM

Connected to: The Argument from Crisis and Pessimism Bias

When we predict the future, we often seem to underestimate the degree to which people will act to avoid adverse outcomes. Examples include Marx's prediction that the ruling classes would fail to act to avert a bloody revolution, predictions of environmental disasters and resource constraints, y2K, etc. In most or all of these cases, there could have been a catastrophe, if people had not acted with determination and ingenuity to prevent it. But when pressed, people often do that, and it seems that we often fail to take that into account when making predictions. In other words: too often we postulate that people will sleepwalk into a disaster. Call this sleepwalk bias.

What are the causes of sleepwalk bias? I think there are two primary causes:

Cognitive constraints. It is easier to just extrapolate existing trends than to engage in complicated reasoning about how people will act to prevent those trends from continuing.

Predictions as warnings. We often fail to distinguish between predictions in the pure sense (what I would bet will happen) and what we may term warnings (what we think will happen, unless appropriate action is taken). Some of these predictions could perhaps be interpreted as warnings - in which case, they were not as bad as they seemed.

However, you could also argue that they were actual predictions, and that they were more effective because they were predictions, rather than warnings. For, more often than not, there will of course be lots of work to reduce the risk of disaster, which will reduce the risk. This means that a warning saying that "if no action is taken, there will be a disaster" is not necessarily very effective as a way to change behaviour - since we know for a fact that action will be taken. A prediction that there is a high probability of a disaster all things considered is much more effective. Indeed, the fact that predictions are more effective than warnings might be the reason why people predict disasters, rather than warn about them. Such predictions are self-defeating - which you may argue is why people make them.

In practice, I think people often fail to distinguish between pure predictions and warnings. They slide between these interpretations. In any case, the effect of all this is for these "prediction-warnings" to seem too pessimistic qua pure predictions.

 


 

The upshot for existential risk is that those suffering from sleepwalk bias may be too pessimistic. They fail to appreciate the enormous efforts people will make to avoid an existential disaster.

Is sleepwalk bias common among the existential risk community? If so, that would be a pro tanto-reason to be somewhat less worried about existential risk. Since it seems to be a common bias, it would be unsurprising if the existential risk community also suffered from it. On the other hand, they have thought about these issues a lot, and may have been able to overcome it (or even overcorrect for it)

Also, even if sleepwalk bias does indeed affect existential risk predictions, it would be dangerous to let this notion make us decrease our efforts to reduce existential risk, given the enormous stakes, and the present neglect of existential risk. If pessimistic predictions may be self-defeating, so may optimistic predictions.

 


 

[Added 24/4 2016] Under which circumstances can we expect actors to sleepwalk? And under what circumstances can we expect that people will expect them to sleepwalk, even though they won't? Here are some considerations, inspired by the comments below. Sleepwalking is presumably more likely if:

  1. The catastrophe is arriving too fast for actors to react.
  2. It is unclear whether the catastrophe will in fact occur, or it is at least not very observable for the relevant actors (the financial crisis, possibly AGI).
  3. The possible disaster, though observable in some sense, is not sufficiently salient (especially to voters) to override more immediate concerns (climate change).
  4. There are conflicts (World War I) and/or free-riding problems (climate change) which are hard to overcome.
  5. The problem is technically harder than initially thought.

1, 2 and, in a way, 3, have to do with observing the disaster in time to act, whereas 4 and 5 have to do with ability to act once the problem is identified.

On the second question, my guess would be that people in general do not differentiate sufficiently between scenarios where sleepwalking is plausible and those where it is not (i.e. predicted sleepwalking has less variance than actual sleepwalking).  This means that we sometimes probably underestimate the amount of sleepwalking, but more often, if my main argument is right, we overestimate it. An upshot of this is that it is important to try to carefully model the amount of sleepwalking that there will be regarding different existential risks.

How to provide a simple example to the requirement of falsifiability in the scientific method to a novice audience?

5 Val 11 April 2016 09:26PM

(I once posted this question on academia.stackexchange, but it was deemed to be off topic there. I hope it would be more on-topic here)


I would like to introduce the basics of the scientific method to an audience unfamiliar with the real meaning of it, without making it hard to understand.

As the suspected knowledge level of the intended audience is of the type which commonly thinks that to "prove something scientifically" is the same as "use modern technological gadgets to measure something, afterwards interpret the results as we wish", my major topic would be the selection of an experimental method and the importance of falsifiability. Wikipedia lists the "all swans are white" as an example for a falsifiable statement, but it is not practical enough. To prove that all swans are white would require to observe all the swans in the world. I'm searching of a simple example which uses the scientific method to determine the workings of an unknown system, starting by forming a good hypothesis.

A good example I found is the 2-4-6 game, culminating in the very catchy phrase "if you are equally good at explaining any outcome, you have zero knowledge". This would be one of the best examples to illustrate the most important part of the scientific method which a lot of people imagine incorrectly, it has just one flaw: for best effect it has to be interactive. And if I make it interactive, it has some non-negligible chance to fail, especially if done with a broader audience.

Is there any simple, non-interactive example to illustrate the problem underlying the 2-4-6 game? (for example, if we had taken this naive method to formulate our hypothesis, we would have failed)

I know, the above example is mostly used in the topic of fallacies, like the confirmation bias, but nevertheless it seems to me as a good method in grasping the most important aspects of the scientific method.

I've seen several good posts about the importance of falsifiability, some of them in this very community, but I did not yet see any example which is simple enough so that people unfamiliar with how scientists work, can also understand it. A good working example would be one, where we want to study a familiar concept, but by forgetting to take falsifiability into account, we arrive to an obviously wrong (and preferably humorous) conclusion.

(How I imagine such an example to work? My favorite example in a different topic is the egg-laying dog. A dog enters the room where we placed ten sausages and ten eggs, and when it leaves the room, we observe that the percentage of eggs relative to the sausages increased, so we conclude that the dog must have produced eggs. It's easy to spot the mistake in this example, because the image of a dog laying eggs is absurd. However, let's replace the example of the dog with an effective medicine against heart diseases where someone noticed that the chance of dying of cancer in the next ten years increased for those patients who were treated with it, so they declared the medicine to be carcinogenic even though it wasn't (people are not immortal, so if they didn't die in one disease, they died later in another one). In this case, many people will accept that it's carcinogenic without any second thought. This is why the example of the egg-laying dog can be so useful in illustrating the problem. Now, the egg-laying dog is not a good example to raise awareness for the importance of falsifiability, I presented it as a good and useful style for an effective example any laymen can understand)

 

An update on Signal Data Science (an intensive data science training program)

5 JonahSinick 09 April 2016 05:02AM

In December 2015, Robert Cordwell and I cofounded Signal Data Science (website), which we announced on Less Wrong.

Our first cohort has just concluded, and overall went very well. We're planning another one in Berkeley from May 2nd – July 24th. The program is a good fit for people who are both excited to learn how to extract insights from data sets and looking to prepare for industry data science jobs. If you're interested attending the next cohort, we would love to hear from you. You can apply here, or contact us at signaldatascience@gmail.com.   

We offer inquiry-based learning and an unusually intellectually curious peer group. Unlike typical college classes, Signal Data Science focuses on learning by doing. You’ll learn from a combination of lectures, short knowledge-reinforcement problems, and longer, more open-ended assignments focusing on analyzing real datasets. (That’s your chance to discover something new!) Don’t worry if that sounds daunting: our instructors will be there to support you every step of the way.

You’ll learn both the theory and the application of a wide array of data science techniques. We offer a pair programming-focused curriculum, allowing students to learn from each other’s strengths. We cover everything from basic linear regression to advanced, industry-relevant methods like support vector machines and dimensionality reduction. You’ll do an advanced, self-directed project at the end of the course. Curious? Check out our showcase of past students’ final projects. Whatever your interests are—from doing something with real-world, industry-relevant applicability to applying cutting-edge neural nets—we’ll work with you to find a project to match your interests and help you showcase it to prospective employers.

Less Wrong readers might be especially interested by Olivia Schaefer's project, which describes results of doing some natural language processing on the Less Wrong comment corpus, explaining how the words pictured in different colors below are at opposite ends of an axis.

 

Update to the list of apps that are useful to me

5 Elo 08 April 2016 01:02AM

on the 22 August 2015, I wrote an apps list of useful apps, in the comments were a number of suggestions which I immediately tried.  This is an update.  Original can be found at this link:

http://lesswrong.com/r/discussion/lw/mnm/a_list_of_apps_that_are_useful_to_me_and_other/

I rewrite the whole list below.  

But first - my recommended list in short:

  • Get an external battery block (and own more than enough spare power cables)
  • Wunderlist
  • Ingress
  • How are you feeling?
  • Alarm clock plus
  • Twilight
  • Business calendar
  • Clipper
  • Rain alarm
  • Data monitor
  • Rescuetime
  • Powercalc
  • Es File viewer
  • WheresmyDroid?
  • Google Docs/sheets etc.
  • (possibly pushbullet and DTG GTD but I have not had them for long enough)
The bold are the top selections, but I would encourage everyone to have all the apps in the above list.

New:

Timestamp Widget. - on clicking to open it - it logs a timestamp.  Can include notes too.

Wunderlist - Recommend it - for shared shopping lists, or any kind of list of things to do.  It's not perfect but it works.

T2 mood tracker - as a second backup to my other mood tracker.  This one takes more effort to do so I only enter the data every few days.  YMMV it might be useful to you.

HOVBX - an overlay for google hangouts that sits on top of the call buttons so you don't accidentally call people (useful for groups who butt-dial each other)

Fleksy - A different keyboard - it seems faster but I am used to swiftkey so I don't use this one.

Tagtime - useful to try.  reminds you hourly or so to tag what you are currently working on.  I used it for a while to help keep me on track.  I noticed I was significantly off track and eventually stopped using it because I felt bad about it.  I feel like I spend more time on-task now but because I want to.  This was a step in the journey of deciding to do that.

Alarm clock plus - it's the best alarm clock app.  I don't use alarms often but this one does everything.

Squats/Push ups/sit ups/pull ups - Rittr labs - good at a simple exercise routine.  Just tells you what to do.  designed to get you from zero to "up to N" of an exercise (250 or 100) so gives you instruction on how many to do each day.  Worth trying.  Didn't work for me, but for other reasons about my lifestyle.

Twilight - mentioned above, replaces night mode and does what f.lux with a PC (filters to be less blue at night)

World clock - started talking to people in different time zones and this was handy.

CPU-Z - lists out all the phone's sensors and tells you their outputs.  cool for looking at gyroscopes/accelerometers.

Coffee meets bagel - dating app.  One profile per day, accept/reject.  Has a different feel to tinder

Bumble - US only; Like Tinder but the girl has to message you first or the connection disappears.

Business Calendar - Best calendar I have found so far

Clipper - Clipboard app for holding the last 20 or so things you have copied.  Also for showing you what's currently on the "copy" 

Pixlr - photo editor.  It's a good one, don't use it often

Rain Alarm - Very good app.  Tells you if it's raining anywhere nearby.  Can be enough to tell you "I should walk home sooner" but also just interesting to have a bit more awareness of your environment.

Audio Scope - Cool science app for viewing the audio scope

Spectrum analyze - Cool science app for viewing the audio spectrum

Frequensee - Fun science app for viewing audio spectrum data

PitchLab lite - Neat for understanding pitch when singing or listening to musical notes.  Another science-visualisation app

Spectralview analyser - another spectrum analyser

Pulsepoint AED - Initiative to gather a public map of all AED's worldwide.  To help; get the app and check the details of nearby AED's

FBreader - Ebook reader.  Pretty good, can control brightness and font size.

KIK - Social app like whatsapp/viber etc.  Don't use it yet, got it on a recommendation.

Wildwilderness - Reporting app for if you see suspicious wildlife trade going on anywhere in the world.  Can report anonymously, any details help.  

DGT GTD - Newly suggested by LW, have not tried to use it yet

Pushbullet - Syncs phone notifications with your PC so you can access things via PC.


I have noticed I often wish "Damn I wish someone had made an app for that" and when I search for it I can't find it.  Then I outsource the search to facebook or other people; and they can usually say - yes, its called X.  Which I can put down to an inability to know how to search for an app on my part; more than anything else.

With that in mind; I wanted to solve the problem of finding apps for other people.

The following is a list of apps that I find useful (and use often) for productive reasons:


The environment

This list is long.  The most valuable ones are the top section that I use regularly.  

Other things to mention:

Internal storage - I have a large internal memory card because I knew I would need lots of space.  So I played the "out of sight out of mind game" and tried to give myself as much space as possible by buying a large internal card.  The future of phones is to not use a microSD card and just use internal storage.  I was taking 1000 photos a month, and since having storage troubles and my phone slowing down I don't take nearly even 1 photo a day.  I would like to change that and will probably make it a future bug of mine to solve.

Battery - I use anker external battery blocks to save myself the trouble of worrying about batteries.  If prepared I leave my house with 2 days of phone charge (of 100% use).  I used to count "wins" of days I beat my phone battery (stay awake longer than it) but they are few and far between.  Also I doubled my external battery power and it sits at two days not one (28000mA + 2*460ma spare phone batteries) This is still true but those batteries don't do what they used to.  Anker have excellent service and refunded the battery that did not stay strong.  I would recommend to all phone users to have a power block.  Phones just are not made with enough battery.

Phone - I have a Samsung S4 (android Running KitKat) because it has a few features I found useful that were not found in many other phones - Cheap, Removable battery, external storage card, replaceable case. I am now on lolipop, and have made use of the external antenna port for a particularly bad low-signal location.

Screen cover - I am using the one that came with the phone still Still

I carry a spare phone case, in the beginning I used to go through one each month; now I have a harder case than before it hasn't broken. I change phone case colours for aesthetics every few months.

I also have swapped out the plastic frame that holds the phone case on as these broke, it was a few dollars on ebay and I needed a teeny screwdriver but other than that it works great now!

MicroUSB cables - I went through a lot of effort to sort this out, it's still not sorted, but its "okay for now".  The advice I have - buy several good cables (read online reviews about it), test them wherever possible, and realise that they die.  Also carry a spare or two.  I have now spent far too much time on this problem.  I am at the end of my phone's life and the MicroUSB port is dying, I have replaced it with a new one which is also not great, and I now leave my phone plugged into it's microUSB cable.  I now use Anker brand cabled which are excellent, but my phone still kills one every few weeks.  The whole idea of the MicroUSB plug is awful.  They don't work very well at all.

Restart - I restart my phone probably most days when it gets slow.  It's got programming bugs, but this solution works for now.

The overlays

These sit on my screen all the time.

Data monitor - Gives an overview of bits per second upload or download. updated every second. ✓

CpuTemp - Gives an overlay of the current core temperature.  My phone is always hot, I run it hard with bluetooth, GPS and wifi blaring all the time.  I also have a lot of active apps. ✓

M̶i̶n̶d̶f̶u̶l̶n̶e̶s̶s̶ ̶b̶e̶l̶l̶ ̶-̶ ̶M̶y̶ ̶p̶h̶o̶n̶e̶ ̶m̶a̶k̶e̶s̶ ̶a̶ ̶c̶h̶i̶m̶e̶ ̶e̶v̶e̶r̶y̶ ̶h̶a̶l̶f̶ ̶h̶o̶u̶r̶ ̶t̶o̶ ̶r̶e̶m̶i̶n̶d̶ ̶m̶e̶ ̶t̶o̶ ̶c̶h̶e̶c̶k̶,̶ ̶"̶A̶m̶ ̶I̶ ̶d̶o̶i̶n̶g̶ ̶s̶o̶m̶e̶t̶h̶i̶n̶g̶ ̶o̶f̶ ̶h̶i̶g̶h̶-̶v̶a̶l̶u̶e̶ ̶r̶i̶g̶h̶t̶ ̶n̶o̶w̶?̶"̶ ̶i̶t̶ ̶s̶o̶m̶e̶t̶i̶m̶e̶s̶ ̶s̶t̶o̶p̶s̶ ̶m̶e̶ ̶f̶r̶o̶m̶ ̶d̶o̶i̶n̶g̶ ̶c̶r̶a̶p̶ ̶t̶h̶i̶n̶g̶s̶.̶ Wow that didn't last.  It was so annoying that I stopped using it.

Facebook chat heads - I often have them open, they have memory leaks and start slowing down my phone after a while, I close and reopen them when I care enough.✓ memory leaks improved but are still there.

 

The normals:

Facebook - communicate with people.  I do this a lot.✓

Inkpad - its a note-taking app, but not an exceptionally great one; open to a better suggestion.✓

Ingress - it makes me walk; it gave me friends; it put me in a community.  Downside is that it takes up more time than you want to give it.  It's a mobile GPS game.  Join the Resistance. Highly recommend

Maps (google maps) - I use this most days; mostly for traffic assistance to places that I know how to get to.✓

Camera - I take about 1000 photos a month.  Generic phone-app one. I take significantly less photos now, my phone slowed down so the activation energy for *open the camera* is higher.  I plan to try to fix this soon

Assistive light - Generic torch app (widget) I use this daily.✓

 

Hello - SMS app.  I don't like it but its marginally better than the native one.✓

S̶u̶n̶r̶i̶s̶e̶ ̶c̶a̶l̶e̶n̶d̶a̶r̶ ̶-̶ ̶I̶ ̶d̶o̶n̶'̶t̶ ̶l̶i̶k̶e̶ ̶t̶h̶e̶ ̶n̶a̶t̶i̶v̶e̶ ̶c̶a̶l̶e̶n̶d̶a̶r̶;̶ ̶I̶ ̶d̶o̶n̶'̶t̶ ̶l̶i̶k̶e̶ ̶t̶h̶i̶s̶ ̶o̶r̶ ̶a̶n̶y̶ ̶o̶t̶h̶e̶r̶ ̶c̶a̶l̶e̶n̶d̶a̶r̶.̶ ̶ ̶T̶h̶i̶s̶ ̶i̶s̶ ̶t̶h̶e̶ ̶l̶e̶a̶s̶t̶ ̶b̶a̶d̶ ̶o̶n̶e̶ ̶I̶ ̶h̶a̶v̶e̶ ̶f̶o̶u̶n̶d̶.̶ ̶ ̶I̶ ̶h̶a̶v̶e̶ ̶a̶n̶ ̶a̶p̶p̶ ̶c̶a̶l̶l̶e̶d̶ ̶"̶f̶a̶c̶e̶b̶o̶o̶k̶ ̶s̶y̶n̶c̶"̶ ̶w̶h̶i̶c̶h̶ ̶h̶e̶l̶p̶s̶ ̶w̶i̶t̶h̶ ̶e̶n̶t̶e̶r̶i̶n̶g̶ ̶i̶n̶ ̶a̶ ̶f̶r̶a̶c̶t̶i̶o̶n̶ ̶o̶f̶ ̶t̶h̶e̶ ̶e̶v̶e̶n̶t̶s̶ ̶i̶n̶ ̶m̶y̶ ̶l̶i̶f̶e̶.̶

Business Calendar - works better, has a better interface than Sunrise.

Phone, address book, chrome browser.✓  I use tab sync, and recommend it for all your chrome-enabled devices.

GPS logger - I have a log of my current gps location every 5 minutes.  If google tracks me I might as well track myself.  I don't use this data yet but its free for me to track; so if I can find a use for the historic data that will be a win. I don't make use of this data and can access my google data just fine so I might stop tracking this.

 

Quantified apps:

Fit - google fit; here for multiple redundancy✓

S Health - Samsung health - here for multiple redundancy✓

Fitbit - I wear a flex step tracker every day, and input my weight daily manually through this app✓

Basis - I wear a B1 watch, and track my sleep like a hawk.✓

Rescuetime - I track my hours on technology and wish it would give a better breakdown. (I also paid for their premium service)✓

Voice recorder - generic phone app; I record around 1-2 hours of things I do per week.  Would like to increase that. I now use this for one hour a month or less.

Narrative - I recently acquired a life-logging device called a narrative, and don't really know how to best use the data it gives.  But its a start. I tried using the device but it has poor battery life.  I also received negative feedback when wearing it in casual settings.  This increases the activation energy to using it.  I also can't seem to wear it at the right height and would regularly take photos of the tops of people's heads.  I would come home with a photo a minute for a day (and have the battery die on it a few times) and have one use-able photo in the lot.  significantly lower than I was expecting.

How are you feeling? - Mood tracking app - this one is broken but the best one I have found, it doesn't seem to open itself after a phone restart; so it won't remind you to enter in a current mood.  I use a widget so that I can enter in the mood quickly.  The best parts of this app are the way it lets you zoom out, and having a 10 point scale.  I used to write a quick sentence about what I was feeling, but that took too much time so I stopped doing it. Highly recommend I use this every day.

Stopwatch - "hybrid stopwatch" - about once a week I time something and my phone didn't have a native one.  This app is good at being a stopwatch.✓

Callinspector - tracks ingoing or outgoing calls and gives summaries of things like, who you most frequently call, how much data you use, etc.  can also set data limits. I dont do anything with this data so I think I will stop using it and save my phone's battery life.

 

Misc

Powercalc - the best calculator app I could find ✓

N̶i̶g̶h̶t̶ ̶m̶o̶d̶e̶ ̶-̶ ̶f̶o̶r̶ ̶s̶a̶v̶i̶n̶g̶ ̶b̶a̶t̶t̶e̶r̶ ̶(̶i̶t̶ ̶d̶i̶m̶s̶ ̶y̶o̶u̶r̶ ̶s̶c̶r̶e̶e̶n̶)̶,̶ ̶I̶ ̶d̶o̶n̶'̶t̶ ̶u̶s̶e̶ ̶t̶h̶i̶s̶ ̶o̶f̶t̶e̶n̶ ̶b̶u̶t̶ ̶i̶t̶ ̶i̶s̶ ̶g̶o̶o̶d̶ ̶a̶t̶ ̶w̶h̶a̶t̶ ̶i̶t̶ ̶d̶o̶e̶s̶.̶ ̶ ̶I̶ ̶w̶o̶u̶l̶d̶ ̶c̶o̶n̶s̶i̶d̶e̶r̶ ̶a̶n̶ ̶a̶p̶p̶ ̶t̶h̶a̶t̶ ̶d̶i̶m̶s̶ ̶t̶h̶e̶ ̶b̶l̶u̶e̶ ̶l̶i̶g̶h̶t̶ ̶e̶m̶i̶t̶t̶e̶d̶ ̶f̶r̶o̶m̶ ̶m̶y̶ ̶s̶c̶r̶e̶e̶n̶;̶ ̶h̶o̶w̶e̶v̶e̶r̶ ̶I̶ ̶d̶o̶n̶'̶t̶ ̶n̶o̶t̶i̶c̶e̶ ̶a̶n̶y̶ ̶n̶e̶g̶a̶t̶i̶v̶e̶ ̶s̶l̶e̶e̶p̶ ̶e̶f̶f̶e̶c̶t̶s̶ ̶s̶o̶ ̶I̶ ̶h̶a̶v̶e̶ ̶b̶e̶e̶n̶ ̶p̶u̶t̶t̶i̶n̶g̶ ̶o̶f̶f̶ ̶g̶e̶t̶t̶i̶n̶g̶ ̶a̶r̶o̶u̶n̶d̶ ̶t̶o̶ ̶i̶t̶.̶ ̶

Twilight - Does a better job and can filter red light as well as brightness.

Advanced signal status - about once a month I am in a place with low phone signal - this one makes me feel better about knowing more details of what that means.✓

Ebay - To be able to buy those $5 solutions to problems on the spot is probably worth more than $5 of "impulse purchases" that they might be classified as.✓

C̶a̶l̶ ̶-̶ ̶a̶n̶o̶t̶h̶e̶r̶ ̶c̶a̶l̶e̶n̶d̶a̶r̶ ̶a̶p̶p̶ ̶t̶h̶a̶t̶ ̶s̶o̶m̶e̶t̶i̶m̶e̶s̶ ̶c̶a̶t̶c̶h̶e̶s̶ ̶e̶v̶e̶n̶t̶s̶ ̶t̶h̶a̶t̶ ̶t̶h̶e̶ ̶f̶i̶r̶s̶t̶ ̶o̶n̶e̶ ̶m̶i̶s̶s̶e̶s̶.̶ Nope just using business calendar now.

ES file explorer - for searching the guts of my phone for files that are annoying to find.  Not as used or as useful as I thought it would be but still useful.✓

Maps.Me - I went on an exploring adventure to places without signal; so I needed an offline mapping system.  This map saved my life.✓ Have not used this since then, but I will not delete it.

Wikipedia - information lookup✓

Youtube - don't use it often, but its there.✓

How are you feeling? (again) - I have this in multiple places to make it as easy as possible for me to enter in this data✓

Play store - Makes it easy to find.✓

Gallery - I take a lot of photos, but this is the native gallery and I could use a better app.✓

 

Social

In no particular order;

F̶a̶c̶e̶b̶o̶o̶k̶ ̶g̶r̶o̶u̶p̶s̶ was so annoying I got rid of it, Yahoo Mail, Skype, Facebook Messenger chat heads, Whatsapp, meetup, google+, Hangouts, Slack, Viber, OKcupid, Gmail, Tinder, Chatango, CoffeeMeetsBagel, Signal.  Of which I use very little.

They do social things.  

I don't really use:  Viber, OKC, Gmail, Tinder, Chatango, CMB, Signal, whatsapp, G+.

I use: Slack, Facebook messenger, yahoo mail  every day.

Not used:

(ticks here mean they are still in this category and are not used)

Trello

Workflowy

pocketbook

snapchat Deleted.

AnkiDroid - Anki memoriser app for a phone. ✓

MyFitnessPal - looks like a really good app, have not used it ✓

Fitocracy - looked good✓

I got these apps for a reason; but don't use them.

 

Not on my front pages:

These I don't use as often; or have not moved to my front pages (skipping the ones I didn't install or don't use)

S memo - samsung note taking thing, I rarely use, but do use once a month or so.✓

Drive, Docs, Sheets - The google package.  Its terrible to interact with documents on your phone, but I still sometimes access things from my phone.✓Useful for viewing, not effective for editing.

bubble - I don't think I have ever used this Deleted

Compass pro - gives extra details about direction. I never use it.Deleted

 

(ingress apps) Glypher, Agentstats, integrated timer, cram, notify Don't use them, but still there

TripView (public transport app for my city) Deleted

Convertpad - converts numbers to other numbers. Sometimes quicker than a google search.✓

ABC Iview - National TV broadcasting channel app.  Every program on this channel is uploaded to this app, I have used it once to watch a documentary since I got the app. Deleted

AnkiDroid - I don't need to memorise information in the way it is intended to be used; so I don't use it. Cram is also a flashcard app but I don't use it. Not used

First aid - I know my first aid but I have it anyway for the marginal loss of 50mb of space. Still haven't used it once.

Triangle scanner - I can scan details from NFC chips sometimes. Still haven't used it once.

MX player - does videos better than native apps. Rarely used

Zarchiver - Iunno.  Does something.  Rarely used

Pandora - Never used Deleted

Soundcloud - used once every two months, some of my friends post music online.  Deleted - They have a web interface.

Barcode scanner - never used

Diskusage - Very useful.  Visualises where data is being taken up on your phone, helps when trying to free up space.✓

Swiftkey - Better than native keyboards.  Gives more freedom, I wanted a keyboard with black background and pale keys, swiftkey has it.✓

Google calendar - don't use it, but its there to try to use.✓

Sleepbot - doesn't seem to work with my phone, also I track with other methods, and I forget to turn it on; so its entirely not useful in my life for sleep tracking. Deleted

My service provider's app.

AdobeAcrobat - use often; not via the icon though. ✓

Wheresmydroid? - seems good to have; never used.  My phone is attached to me too well for me to lose it often.  I have it open most of the waking day maybe. ✓ I actually set this up and tested if it worked.  It doesn't work from install, needs an account (which I now have) make sure you actually have an account

Uber - I don't use ubers. Deleted

Terminal emulator, AIDE, PdDroid party, Processing Android, An editor for processing, processing reference, learn C++ - programming apps for my phone, I don't use them, and I don't program much. Deleted some to make space on my phone.

Airbnb - Have not used yet, done a few searches for estimating prices of things. Deleted - Web interface better.

Heart rate - measures your heart rate using the camera/flash.  Neat, not useful other than showing off to people how its possible to do. ✓

Basis - (B1 app), - has less info available than their new app. ✓

BPM counter - Neat if you care about what a "BPM" is for music.  Don't use often. ✓

Sketch guru - fun to play with, draws things. ✓

DJ studio 5 - I did a dj thing for a friend once, used my phone.  was good. ✓

Facebook calendar Sync - as the name says. ✓

Dual N-back - I Don't use it.  I don't think it has value giving properties. Deleted

Awesome calendar - I don't use but it comes with good reccomendations. Deleted Use Business Calendar now.

Battery monitor 3 - Makes a graph of temperature and frequency of the cores.  Useful to see a few times.  Eventually its a bell curve. ✓

urbanspoon - local food places app. ✓use google mostly now.

Gumtree - Australian Ebay (also ebay owns it now) ✓

Printer app to go with my printer ✓

Car Roadside assistance app to go with my insurance ✓

Virgin air entertainment app - you can use your phone while on the plane and download entertainment from their in-flight system. ✓


Two things now;

What am I missing? Was this useful?  Ask me to elaborate on any app and why I used it.  If I get time I will do that anyway. 

P.S. this took 1.5 hours to review and rewrite.

P.P.S - I was intending to make, keep and maintain a list of useful apps, that is not what this document is.  If there are enough suggestions that it's time to make and keep a list; I will do that.

My table of contents links to my other writings

Rationality Reading Group: Part X: Yudkowsky's Coming of Age

5 Gram_Stone 06 April 2016 11:05PM

This is part of a semi-monthly reading group on Eliezer Yudkowsky's ebook, Rationality: From AI to Zombies. For more information about the group, see the announcement post.


Welcome to the Rationality reading group. This fortnight we discuss Beginnings: An Introduction (pp. 1527-1530) and Part X: Yudkowsky's Coming of Age (pp. 1535-1601). This post summarizes each article of the sequence, linking to the original LessWrong post where available.

Beginnings: An Introduction

X. Yudkowsky's Coming of Age

292. My Childhood Death Spiral - Wherein Eliezer describes how a history of being rewarded for believing that 'intelligence is more important than experience or wisdom' initially led him to dismiss the possibility that most possible smarter-than-human artificial intelligences will cause unvaluable futures if constructed.

293. My Best and Worst Mistake - When Eliezer went into his death spiral around intelligence, he wound up making a lot of mistakes that later became very useful.

294. Raised in Technophilia - When Eliezer was quite young, it took him a very long time to get to the point where he was capable of considering that the dangers of technology might outweigh the benefits.

295. A Prodigy of Refutation - Eliezer's skills at defeating other people's ideas led him to believe that his own (mistaken) ideas must have been correct.

296. The Sheer Folly of Callow Youth - Eliezer's big mistake was when he took a mysterious view of morality.

297. That Tiny Note of Discord - Eliezer started to dig himself out of his philosophical hole when he noticed a tiny inconsistency.

298. Fighting a Rearguard Action Against the Truth - When Eliezer started to consider the possibility of Friendly AI as a contingency plan, he permitted himself a line of retreat. He was now able to slowly start to reconsider positions in his metaethics, and move gradually towards better ideas.

299. My Naturalistic Awakening - Eliezer actually looked back and realized his mistakes when he imagined the idea of an optimization process.

300. The Level Above Mine - There are people who have acquired more mastery over various fields than Eliezer has over his.

301. The Magnitude of His Own Folly Eliezer considers his training as a rationalist to have started the day he realized just how awfully he had screwed up.

302. Beyond the Reach of God - Compare the world in which there is a God, who will intervene at some threshold, against a world in which everything happens as a result of physical laws. Which universe looks more like our own?

303. My Bayesian Enlightenment - The story of how Eliezer Yudkowsky became a Bayesian.

 


This has been a collection of notes on the assigned sequence for this fortnight. The most important part of the reading group though is discussion, which is in the comments section. Please remember that this group contains a variety of levels of expertise: if a line of discussion seems too basic or too incomprehensible, look around for one that suits you better!

The next reading will cover Part Y: Challenging the Difficult (pp. 1605-1647). The discussion will go live on Wednesday, 20 April 2016, right here on the discussion forum of LessWrong.

Open Thread May 2 - May 8, 2016

4 Elo 02 May 2016 02:43AM

If it's worth saying, but not worth its own post (even in Discussion), then it goes here.


Notes for future OT posters:

1. Please add the 'open_thread' tag.

2. Check if there is an active Open Thread before posting a new one. (Immediately before; refresh the list-of-threads page before posting.)

3. Open Threads should be posted in Discussion, and not Main.

4. Open Threads should start on Monday, and end on Sunday.

Double Corrigibility: better Corrigibility

4 Stuart_Armstrong 28 April 2016 02:46PM

A putative new idea for AI control; index here.

Corrigibility was an attempt to allow an AI to safely change its values, without seeking to provoke or avoid the change. The idea is that, when the AI's utility changes from u to v at time t, it maximises a meta-utility U such that

  • U≤t = u
  • U>t = v + E(u|u→u) - E(v|u→v).

Here u→u designates the event that u remains unchanged, while u→v designates the change.

As has been shown, adding those expectation terms means the AI will not seek to provoke or resist such a utility change - it is indifferent to the change. Those expectation terms can be designated compensatory rewards.

What it is not indifferent to, though, is changes to E. If the AI knows that change u→v is coming, then it has incentives to change E to E' with a high E'(u|u→u) and a low E'(v|u→v). Its ability to rewire is limited by the fact that E' will serve as its future expectation estimator, so it won't mangle it completely, but it certainly can twist it a bit.

Notice that the AI is now no longer indifferent to the change of utility. It can benefit from rewiring E this way only if a change is coming up. Notice that E' probably can't rewire itself any more, so the rewired AI will be indifferent, but not before rewiring.

 

Double corrigibility

To solve this problem, we need to turn to corrigibility a second time. Let ρ be the AI's current expectation/probability estimator. Let ρ' be one that it can conceivably change into. Let C be a random variable designating the sum total of all compensatory rewards. Now, to guarantee that C is finite would require bounds on all the utility functions and some discount rate. In practice, if often will be finite. That's because E(C)=E(u0|u0→u0)-E(un |un-1→un, H), where u0 is the AI's first utility, un its last, and H intermediate history. So some milder restrictions on the ui should suffice to bound C.

Then, whenever the AI takes an action that changes ρ to ρ', it gets the special meta-compensatory reward

  • Eρ(C|ρ→ρ)-Eρ(C|ρ→ρ').

This prevents it from deriving any advantage to C via changes to ρ. Or, more precisely, it prevents it from deriving any expected advantage, that it can figure out using its current ρ.

Note that it doesn't prevent improvements to ρ in general, it just removes the incentives to change it to affect compensatory rewards.

Since any action a might have an indirect effect on ρ, the "utility maximising" for a given u must be changed to:

  • Eρ(u|a) + Σρ' Pρ(ρ→ρ'|a) (Eρ(C|ρ→ρ)-Eρ(C|ρ→ρ')),

where Pρ is the probability estimate corresponding to ρ; the probability term can be rewritten as Eρ(Iρ→ρ') for Iρ→ρ' the indicator function for ρ→ρ'. In fact the whole line above can be rewritten as

  • Eρ(u|a) + Eρ(Eρ(C|ρ→ρ)-Eρ(C|ρ→ρ') | a).

For this to work, Eρ needs to be able to say sensible things about itself, and also about Eρ', which is used to estimate C if ρ→ρ'.

If we compare this with various ways of factoring out variables, we can see that it's a case where we have a clear default, ρ, and are estimating deviations from that.

[link] Simplifying the environment: a new convergent instrumental goal

4 Kaj_Sotala 22 April 2016 06:48AM

http://kajsotala.fi/2016/04/simplifying-the-environment-a-new-convergent-instrumental-goal/

Convergent instrumental goals (also basic AI drives) are goals that are useful for pursuing almost any other goal, and are thus likely to be pursued by any agent that is intelligent enough to understand why they’re useful. They are interesting because they may allow us to roughly predict the behavior of even AI systems that are much more intelligent than we are.

Instrumental goals are also a strong argument for why sufficiently advanced AI systems that were indifferent towards human values could be dangerous towards humans, even if they weren’t actively malicious: because the AI having instrumental goals such as self-preservation or resource acquisition could come to conflict with human well-being. “The AI does not hate you, nor does it love you, but you are made out of atoms which it can use for something else.

I’ve thought of a candidate for a new convergent instrumental drive: simplifying the environment to make it more predictable in a way that aligns with your goals.

Roughly you

4 JDR 21 April 2016 03:28PM

Since, like everyone, I generalise from single examples, I expect most people have some older relative or friend who they feel has added some wisdom to their life - some small pieces of information which seem to have pervasively wormed their way into more of their cognitive algorithms than you would expect, coloring and informing perceptions and decisions. For me, this would most be my grandfather. Over his now 92 years he has given me gems such as "always cut a pear before you peel it" (make quick checks of the value of success before committing to time consuming projects) and whenever someone says "that's never happened before", finishing their sentence with "said the old man when his donkey died" (just because something hasn't happened before doesn't mean it wasn't totally predictable).

Recently, though, I've been thinking about something else he has said, admittedly in mock seriousness: "If I lose my mind, you should take me out back and shoot me". We wouldn't, he wouldn't expect us to, but it's what he has said.

The reason I've been thinking of this darker quotation is that I've been spending a lot of time with people who have "lost their minds" in the way that he means. I am a medical student, and on a rotation in old age psychiatry, so have been talking to patients most of whom have some level of dementia, often layered with psychotic conditions such as intractable schizophrenia, some of whom increasingly can't remember their own pasts let alone their recent present. They can become fixed in untrue beliefs, their emotional become limited, or lose motivation to complete even simple tasks.

It can be scary. In some ways, such illness represents death by degrees. These people can remain happy and have a good quality of life, but it's certain that they are not entirely the people they once were. In fact, this is a question we have asked relatives when deciding whether someone is suffering from early dementia: "Overall, in the way she behaves, does this seem like your mother to you? Is this how your mother acts?". Sometimes, the answer is "No, it's like she is a different person", or "Only some of the time". It's a process of personality-approximation, blurring, abridging and changing the mind to create something not quite the same. What my grandfather fears is becoming a rough estimate of himself - though again, for some, that re-drawn person might be perfectly happy with who they are when they arrive.

Why is this of interest to LessWrong? I think it is because quite a few people here (me included) have at least thought about bidding to live forever using things like cryogenics and maybe brain-download. These things could work at some point; but what if they don't work perfectly? What if the people of the future can recover some of the information from a frozen brain, but not all of it? What if we had to miss off a few crucial memories, a few talents, maybe 60 points of IQ? Or even more subtle things - it's been written a few times that the entirety of who a person is in their brain, but that's probably not entirely true - the brain is influenced by the body, and aspects of your personality are probably influenced by how sensitive your adrenals are, the amount of fat you have, and even the community of bacteria in your intestines. Even a perfect neural computer-you wouldn't have these things; it would be subtle, but the created immortal agent wouldn't completely be you, as you are now. Somehow, though, missing my precise levels of testosterone would seem an acceptable compromise for the rest of my personality living forever, but missing the memory of my childhood, half my intelligence or my ability to change my opinion would leave me a lot less sure.

So here's the question I want to ask, to see what people think: If I offered you partial immortality - immortality for just part of you - how rough an approximation of "you" would you be willing to accept?

Anthropics and Biased Models

4 casebash 15 April 2016 02:18AM

The Fine-tuned Universe Theory, according to Wikipedia is the belief that, "our universe is remarkably well suited for life, to a degree unlikely to happen by mere chance". It is typically used to argue that our universe must therefore be the result of Intelligent Design.

One of the most common counter-arguments to this view based on the Anthropic Principle. The argument is that if the conditions were not such that life would be possible, then we would not be able to observe this, as we would not be alive. Therefore, we shouldn't be surprised that the universe has favourable conditions.

I am going to argue that this particular application of the anthropic principle is in fact an incorrect way to deal with this problem. I'll begin first by explaining one way to deal with this problem; afterwards I will explain why the other way is incorrect.

Two model approach

We begin with two modes:

  • Normal universe model: The universe has no bias towards supporting life
  • Magic universe model: The universe is 100% biased towards supporting life
We can assign both of these models a prior probability, naturally I'd suggest the prior probability for the later should be rather low. We then update based on the evidence that we see.

p(normal universe|we exist) = p(we exist|normal universe)/p(we exist) * p(normal universe)

The limit of p(normal universe|we exist) as p(we exist|normal universe) approaches 0 is 0 (assuming p(normal universe)!=1). This is proven in the supplementary materials at the end of this post. In plain English, as the chance of us existing in the normal universe approaches zero, as long as we assign some probability to the magic universe model we will at some point conclude that the Magic universe model is overwhelming likely to be correct. I should be clear, I am definitely not claiming that the Fine-Tuned Universe argument is correct. I expect that if we come to the conclusion that the Magical model is more likely than the Normal model of the universe, than that is because we have set our prior for the magical model of the universe to be too high or the chances of life inside the normal universe model to be too low. Regarding the former, our exposure to science fiction and fantasy subjects us to the availability bias, which biases our priors upwards. Regarding the later, many scientists make arguments that life can only exist in a very specific form, which I don't find completely convincing.

Standard anthropic argument

Let's quote an example of the standard anthropic argument by DanielLC:

Alice notices that Earth survived the cold war. She asks Bob why that is. After all, so much more likely for Earth not to survive. Bob tells her that it's a silly question. The only reason she picked out Earth is that it's her home planet, which is because it survived the cold war. If Earth died and, say, Pandora survived, she (or rather someone else, because it's not going to be the same people) would be asking why Pandora survived the cold war. There's no coincidence.


This paragraph notes that the answer to the question, "What is the probability that we survived the Cold War given that we can ask this question?" is going to always be 1. It is then implied that since there is no surprise, indeed, this is what must be what happened, the anthropic principle lacks any force.

However, this is actually asking the wrong question. It is right to note that we shouldn't be surprised to observe that we survived given that it would be impossible to observe otherwise. However, if we were then informed that we lived in a normal, unbiased universe, rather than in an alternate biased universe, if the maths worked out a particular way such that it leaned heavily towards the alternate universe, then we would be surprised to learn we lived in a normal universe. In particular, we showed how this could work out above, when we examined the situation where p(we exist|normal universe) approached 0. The anthropic argument against the alternate hypothesis denies that surprise in a certain sense can occur, however, if fails to show that surprised in another, more meaningful sense can occur.

Reframing this, the problem is that it fails to be comparative. The proper question we should be asking is “Given that we observe an unlikely condition, is it more probable that the normal or magical model of the universe is true?”. Simply noting that we can explain our observations perfectly well within our universe, does not mean that an alternate model wouldn't provide a better explanation. As an analogy, if we want to determine whether a coin is biased or unbiased, then we must start with (at least) two models - fair and unfair. We assign each a prior probability and then do a Bayesian update on the new information provided - ie. the unusual run or state of the universe.

Coin flip argument

Let's consider a version of this analogy in more detail. Imagine that you are flipping coins. If you flip a heads, then you live, if you flip a tails, then you are shot. Suppose you get 15 coin flips in a row. You could argue that only the people who got 15 coin flips in a row are alive to ask this question, so there is nothing to explain. However, if there is a 1% chance that the coin you have is perfectly biased towards heads, then the number of people with biased coins who get 15 flips and ask the question will massively outweigh the number of people with unbiased coins who get to 15 flips. Simply stating that that there was nothing surprising about you observing 15 flips given that you would be dead if you hadn't gotten 15 flips didn't counteract the fact that one model was more likely than the other.

Edit - Extra Perspective: Null hypothesis testing

Another view comes from the idea of hypothesis testing in statistics. In hypothesis testing, you start with a null hypothesis, ie. a probability distribution based on the Normal universe model and then calculate a p-value representing the chance that you would get this kind of result given that probability distribution. If we get a low p-value, then we generally "reject" the null hypothesis, or at least argue that we have evidence for rejecting it in favour of the alternate hypothesis, which is in this case that there exists at least some bias in the universe towards life. People using the anthropic principle argue that our null hypothesis should be a probability distribution based on the odds of you surviving given that you are asking this question, rather than simply the odds of you surviving fullstop. This would mean that all the probability should be distributed to the survive case, providing a p-value of 1 meaning that we should reject the evidence.

While the p-value may remain fixed as 1 as p(alive|normal universe) -> 0, it is worth noting that the prior probability of our null hypothesis, p(alive & normal universe), is actually changing. At some point, the prior probability becomes sufficiently close to 0 that we reject the hypothesis despite the p-value still being stuck at 1. This is, hypothesis testing is not the only situation when we may reject a hypothesis. A hypothesis that perfectly fits the data may be rejected based in a minuscule prior probability.

Summary

This post was originally about the Fine-tuned universe theory, but we also answered the Cold war anthropic puzzle and a Coin Flip Anthropic puzzle. I'm not claiming that all anthropic reasoning is broken in general, only that we can't use anthropic reasoning on a single side of a model. I think that there are cases where we can use anthropic reasoning, but these are cases where we are trying to determine likely properties of our universe, not ones where we are trying to use it to argue against the existence of a biased model. Future posts will deal with these applications of the anthropic principle.

Edit: After consideration, I have realised that the anthropic principle actually works when combined with the multiple worlds hypothesis as per Luke_A_Somers comment. My argument only works against the idea that there is a single universe with parameters that just happen to be right. If the hypotheses are: a multiverse as per string theory vs. a magical (single) universe, even though each individual universe may only have a small chance of life, the multiverse as a whole can have almost guaranteed life, meaning our beliefs would simply be based on priors. I suppose someone might complain that I should be comparing a Normal multiverse against a Magical multiverse, but the problem is that my priors for a Magical multiverse would be even lower than that of a Magical universe. It is also possible to use the multiple worlds argument without using the anthropic principle at all - you can just deny that the fine tuning argument applies to the multi-verse as a whole.

Supplementary Materials

Limit of p(normal universe|we exist)

The formula we had was:

p(normal universe|we exist) = p(we exist|normal universe)/p(we exist) * p(normal universe)

The extra information that we exist, has led to a factor of p(we exist|normal universe)/p(we exist) being applied.

We note that p(we exist)=p(we exist|normal universe)p(normal universe) + p(we exist|magical universe)p(magical universe)
                                    =p(we exist|normal universe)p(normal universe) + 1 - p(normal universe)

The limit of p(we exist) as p(we exist|normal universe) -> 0, with p(normal universe) fixed, is 1 - p(normal universe). So long as p(normal universe) != 1, p(we exist) approaches a fixed value greater than 0.

The limit of p(we exist|normal universe)/p(we exist) as p(we exist|normal universe) -> 0 is 0.

Meaning that limit of p(normal universe|we exist) as p(we exist|normal universe) -> 0 is 0 (assuming p(normal universe)!=1)

Performing Bayesian updates

Again, we'll imagine that we have a biased universe where we have 100% chance of being alive.

We will use Bayes law:

p(a|b)=p(b|a)p(a)/p(b)

Where:

a = being in a normal universe

b = we are alive

 

We'll also use:

p(alive) = p(alive|normal universe)p(normal universe) + p(alive|biased universe)p(biased universe)

 

Example 1:

Setting:

p(alive|normal universe) = 1/100

p(normal universe) = 1/2

The results are:

p(we are alive) = (1/100)*(1/2)+1*(1/2) = 101/200

p(normal universe|alive) = (1/100)*(1/2)*(200/101) = 1/101

 

Example 2:

Setting:

p(normal universe)=100/101

p(alive|normal universe) = 1/100

p(normal universe) = 100/101

The results are:

p(we are alive) = 100/101*1/100+1/101*1 = 2/101

p(normal universe|alive) = (1/100)*(100/101)* (101/2) = 1/2


 

 

Is the average ethical review board ethical from an utilitarian standpoint?

3 ChristianKl 27 April 2016 12:11PM
Many people argue that Facebook's study of how the emotions of it's users changed depending on the emotional content of messages in their facebook feed wouldn't have been approved by the average ethical review board because facebook didn't seek informed consent for the experiment.

Is the harm that the average ethical review board prevents less than the harm that they cause by preventing research from happening? Are principles such as requiring informed consent from all research participants justifiable from an utilitarian perspective?

Sphere packing and logical uncertainty

3 sanxiyn 25 April 2016 06:02AM

Trying posting here since I don't see how to post to https://agentfoundations.org/.

Recently sphere packing was solved in dimension 24, and I read about it on Quanta Magazine. I found the following part of the article (paraphrased) fascinating.

Cohn and Kumar found that the best possible sphere packings in dimensions 24 could be at most 0.0000000000000000000000000001 percent denser than the Leech lattice. Given this ridiculously close estimate, it seemed clear that the Leech lattice must be the best sphere packings in dimension 24.

This is clearly a kind of reasoning under logical uncertainty, and seems very reasonable. Most humans probably would reason similarly, even when they have no idea what the Leech lattice is.

Is this kind of reasoning covered by already known desiderata for logical uncertainty?

[Link] Mutual fund fees

3 James_Miller 23 April 2016 10:09PM

An easy win for rationalists is to avoid actively managed mutual funds.  As a NYT article points out:   

 

"High fees, often hidden from view, are still enriching many advisers and financial services companies at the expense of ordinary people who are struggling to salt away savings....even for retirement accounts that are to be covered by the rules, many advisers are not required to act in their clients’ best interests. This means that they are legally entitled to look out for themselves first and recommend investments with higher fees, to the detriment of those who have asked for help....even when fund managers succeed in outperforming their peers in one year, they cannot easily repeat the feat in successive years, as many studies have shown. That’s why low-cost index funds, which merely mirror the performance of the market and don’t try to beat it, make a great deal of sense as a core investment....With fees included, the average actively managed fund in each of 29 asset categories — from those that invest in various sizes and styles of stocks to those that hold fixed-income instruments like government or municipal bonds — underperformed its benchmark over the decade through December. In other words, index funds outperformed the average actively managed fund in every single category....Investors who believe they have found honest and skillful advisers may still want to understand all of this. Not everyone truly has your best interest at heart."

My Custom Spelling Dictionary

3 Gram_Stone 23 April 2016 09:56PM

I looked at my custom spelling dictionary in Google Chrome, and thought custom spelling dictionaries in general might be a good place for you to look if you wonder what kinds of terms you'll have to explain to people to help them understand what you mean. If something's on your list, then you would probably have to provide an explanation of its usage to a given random individual from the world population.

Here's my list:

anthropogenic

attentional

attentionally

automaticity

beisutsukai

bulletpoint

ceteris

combinatorially

commentariat

credences

curation

disanalogies

Eliezer

epistemic

evolutionarily

formidability

fortiori

gedanken

Gwern

hierarch

impactful

indexical

interpretable

Kahneman

LW

LWers

maladaptive

metacognition

metacognitive

metamemory

MIRI

Newcomblike

normatively

paribus

percepts

prefrontal

pseudonymity

pseudonymously

relatable

situational

superintelligence

underconfidence

underconfident

unobservable

unsimplified

updateless

whistleblow

 

Share yours, too, if you'd like. Maybe something interesting or useful will come out of it. Maybe there will be patterns.

Expect to know better when you know more

3 Stuart_Armstrong 21 April 2016 03:47PM

A seemingly trivial result, that I haven't seen posted anywhere in this form, that I could find. It simply shows that we expect evidence to increase the posterior probability of the true hypothesis.

Let H be the true hypothesis/model/environment/distribution, and ~H its negation. Let e be evidence we receive, taking values e1, e2, ... en. Let pi=P(e=ei|H) and qi=P(E=ei|~H).

The expected posterior weighting of H, P(e|H), is Σpipi while the expected posterior weighting of ~H, P(e|~H), is Σqipi. Then since the pi and qi both sum to 1, Cauchy–Schwarz implies that

 

  • E(P(e|H)) ≥ E(P(e|~H)).

Thus, in expectation, the probability of the evidence given the true hypothesis, is higher than or equal to the probability of the evidence given its negation.

This, however, doesn't mean that the Bayes factor - P(e|H)/P(e|~H) - must have expectation greater than one, since ratios of expectation are not the same as expectations of ratio. The Bayes factor given e=ei is (pi/qi). Thus the expected Bayes factor is Σ(pi/qi)pi. The negative logarithm is a convex function; hence by Jensen's inequality, -log[E(P(e|H)/P(e|~H))] ≤ -E[log(P(e|H)/P(e|~H))]. That last expectation is Σ(log(pi/qi))pi. This is the Kullback–Leibler divergence of P(e|~H) from P(e|H), and hence is non-negative. Thus log[E(P(e|H)/P(e|~H))] ≥ 0, and hence

 

  • E(P(e|H)/P(e|~H)) ≥ 1.

Thus, in expectation, the Bayes factor, for the true hypothesis versus its negation, is greater than or equal to one.

Note that this is not true for the inverse. Indeed E(P(e|~H)/P(e|H)) = Σ(qi/pi)pi = Σqi = 1.

In the preceding proofs, ~H played no specific role, and hence

 

  • For all K,    E(P(e|H)) ≥ E(P(e|K))    and    E(P(e|H)/P(e|K)) ≥ 1    (and E(P(e|K)/P(e|H)) = 1).

Thus, in expectation, the probability of the true hypothesis versus anything, is greater or equal in both absolute value and ratio.

Now we can turn to the posterior probability P(H|e). For e=ei, this is P(H)*P(e=ei|H)/P(e=ei). We can compute the expectation of P(e|H)/P(e) as above, using the non-negative Kullback–Leibler divergence of P(e) from P(e|H), and thus showing it has an expectation greater than or equal to 1. Hence:

 

  • E(P(H|e)) ≥ P(H).

Thus, in expectation, the posterior probability of the true hypothesis is greater than or equal to its prior probability.

Open Thread April 11 - April 17, 2016

3 Clarity 10 April 2016 09:01PM

If it's worth saying, but not worth its own post (even in Discussion), then it goes here.

 

Notes for future OT posters:

1. Please add the 'open_thread' tag.

2. Check if there is an active Open Thread before posting a new one. (Immediately before; refresh the list-of-threads page before posting.)

3. Open Threads should be posted in Discussion, and not Main.

4. Open Threads should start on Monday, and end on Sunday.

New LW Meetup: Nairobi

3 FrankAdamek 08 April 2016 03:50PM

This summary was posted to LW Main on April 8th. The following week's summary is here.

New meetups (or meetups with a hiatus of more than a year) are happening in:

Irregularly scheduled Less Wrong meetups are taking place in:

The remaining meetups take place in cities with regular scheduling, but involve a change in time or location, special meeting content, or simply a helpful reminder about the meetup:

Locations with regularly scheduled meetups: Austin, Berkeley, Berlin, Boston, Brussels, Buffalo, Canberra, Columbus, Denver, Kraków, London, Madison WI, Melbourne, Moscow, Mountain View, New Hampshire, New York, Philadelphia, Research Triangle NC, Seattle, Sydney, Tel Aviv, Toronto, Vienna, Washington DC, and West Los Angeles. There's also a 24/7 online study hall for coworking LWers and a Slack channel for daily discussion and online meetups on Sunday night US time.

continue reading »

Monthly Bragging Thread April 2016

3 Soothsilver 08 April 2016 01:26PM

Your job, should you choose to accept it, is to comment on this thread explaining the most awesome thing you've done this month. You may be as blatantly proud of yourself as you feel. You may unabashedly consider yourself the coolest freaking person ever because of that awesome thing you're dying to tell everyone about. This is the place to do just that.

Remember, however, that this isn't any kind of progress thread. Nor is it any kind of proposal thread. This thread is solely for people to talk about the awesome things they have done. Not "will do." Not "are working on." Have already done. This is to cultivate an environment of object level productivity rather than meta-productivity methods. For example:
  • Published a new novel: Yes, brag heartily.
  • Wrote an outline for a new novel: No, please wait until the novel is finished.

So, what's the coolest thing you've done this month?

(Previous bragging thread - January 2016)

LINK: New clinical trial will try to restore dead brains

2 polymathwannabe 04 May 2016 08:05PM

"... in an effort to revive the brains of those being kept alive solely through life support. Stem cells will be injected directly into the brain..."

More at:

http://news.discovery.com/tech/biotechnology/dead-could-be-brought-back-to-life-in-medical-trial-160503.htm

Link: Thoughts on the basic income pilot, with hedgehogs

2 Jacobian 04 May 2016 05:47PM

I have resisted the urge of promoting my blog for many months, but this is literally (per my analysis) for the best cause.

We have also raised a decent amount of money so far, so at least some people were convinced by the arguments and didn't stop at the cute hedgehog pictures.

My Kind of Moral Responsibility

2 Gram_Stone 02 May 2016 05:54AM

The following is an excerpt of an exchange between Julia Galef and Massimo Pigliucci, from the transcript for Rationally Speaking Podcast episode 132:

Massimo: [cultivating virtue and 'doing good' locally 'does more good' than directly eradicating malaria]

Julia: [T]here's lower hanging fruit [in the developed world than there is in the developing world]. By many order of magnitude, there's lower hanging fruit in terms of being able to reduce poverty or disease or suffering in some parts of the world than other parts of the world. In the West, we've picked a lot of the low hanging fruit, and by any sort of reasonable calculation, it takes much more money to reduce poverty in the West -- because we're sort of out in the tail end of having reduced poverty -- than it does to bring someone out of poverty in the developing world.

Massimo: That kind of reasoning brings you quickly to the idea that everybody here is being a really really bad person because they spent money for coming here to NECSS listening to us instead of saving children on the other side of the world. I resist that kind of logic.

Massimo (to the audience): I don't think you guys are that bad! You see what I mean?

I see a lot of people, including bullet-biters, who feel a lot of internal tension, and even guilt, because of this apparent paradox.

Utilitarians usually stop at the question, "Are the outcomes different?"

Clearly, they aren't. But people still feel tension, so it must not be enough to believe that a world where some people are alive is better than a world where those very people are dead. The confusion has not evaporated in a puff of smoke, as we should expect.

After all, imagine a different gedanken where a virtue ethicist and a utilitarian each stand in front of a user interface, with each interface bearing only one shiny red button. Omega tells each, "If you press this button, then you will prevent one death. If you do not press this button, then you will not prevent one death."

There would be no disagreement. Both of them would press their buttons without a moment of hesitation.

So, in a certain sense, it's not only a question of which outcome is better. The repugnant part of the conclusion is the implication for our intuitions about moral responsibility. It's intuitive that you should save ten lives instead of one, but it's counterintuitive that the one who permits death is just as culpable as the one who causes death. You look at ten people who are alive when they could be dead, and it feels right to say that it is better that they are alive than that they are dead, but you juxtapose a murderer and your best friend who is not an ascetic, and it feels wrong to say that the one is just as awful as the other.

The virtue-ethical response is to say that the best friend has lived a good life and the murderer has not. Of course, I don't think that anyone who says this has done any real work.

So, if you passively don't donate every cent of discretionary income to the most effective charities, then are you morally culpable in the way that you would be if you had actively murdered everyone that you chose not to save who is now dead?

Well, what is moral responsibility? Hopefully we all know that there is not one culpable atom in the universe.

Perhaps the most concrete version of this question is: what happens, cognitively, when we evaluate whether or not someone is responsible for something? What's the difference between situations where we consider someone responsible and situations where we don't? What happens in the brain when we do these things? How do different attributions of responsibility change our judgments and decisions?

Most research on feelings has focused only on valence, how positiveness and negativeness affect judgment. But there's clearly a lot more to this: sadness, anger, and guilt are all negative feelings, but they're not all the same, so there must be something going on beyond valence.

One hypothesis is that the differences between sadness, anger, and guilt reflect different appraisals of agency. When we are sad, we haven't attributed the cause of the inciting event to an agent; the cause is situational, beyond human control. When we are angry, we've attributed the cause of the event to the actions of another agent. When we are guilty, we've attributed the cause of the event to our own actions.

(It's worth noting that there are many more types of appraisal than this, many more emotions, and many more feelings beyond emotions, but I'm going to focus on negative emotions and appraisals of agency for the sake of brevity. For a review of proposed appraisal types, see Demir, Desmet, & Hekkert (2009). For a review of emotions in general, check out Ortony, Clore, & Collins' The Cognitive Structure of Emotions.)

So, what's it look like when we narrow our attention to specific feelings on the same side of the valence spectrum? How are judgments affected when we only look at, say, sadness and anger? Might experiments based on these questions provide support for an account of our dilemma in terms of situational appraisals?

In one experiment, Keltner, Ellsworth, & Edwards (1993) found that sad subjects consider events with situational causes more likely than events with agentic causes, and that angry subjects consider events with agentic causes more likely than events with situational causes. In a second experiment in the same study, they found that sad subjects are more likely to consider situational factors as the primary cause of an ambiguous event than agentic factors, and that angry subjects are more likely to consider agentic factors as the primary cause of an ambiguous event than situational factors.

Perhaps unsurprisingly, watching someone commit murder, and merely knowing that someone could have prevented a death on the other side of the world through an unusual effort, makes very different things happen in our brains. I expect that even the utilitarians are biting a fat bullet; that even the utilitarians feel the tension, the counterintuitiveness, when utilitarianism leads them to conclude that indifferent bystanders are just as bad as murderers. Intuitions are strong, and I hope that a few more utilitarians can understand why utilitarianism is just as repugnant to a virtue ethicist as virtue ethics is to a utilitarian.

My main thrust here is that "Is a bystander as morally responsible as a murderer?" is a wrong question. You're always secretly asking another question when you ask that question, and the answer often doesn't have the word 'responsibility' anywhere in it.

Utilitarians replace the question with, "Do indifference and evil result in the same consequences?" They answer, "Yes."

Virtue ethicists replace the question with, "Does it feel like indifference is as 'bad' as 'evil'?" They answer, "No."

And the one thinks, in too little detail, "They don't think that bystanders are just as bad as murderers!", and likewise, the other thinks, "They do think that bystanders are just as bad as murderers!".

And then the one and the other proceed to talk past one another for a period of time during which millions more die.

As you might expect, I must confess to a belief that the utilitarian is often the one less confused, so I will speak to that one henceforth.

As a special kind of utilitarian, the kind that frequents this community, you should know that, if you take the universe, and grind it down to the finest powder, and sieve it through the finest sieve, then you will not find one agentic atom. If you only ask the question, "Has the virtue ethicist done the moral thing?", and you silently reply to yourself, "No.", and your response is to become outraged at this, then you have failed your Art on two levels.

On the first level, you have lost sight of your goal. As if your goal is to find out whether or not someone has done the moral thing, or not! Your goal is to cause them to commit the moral action. By your own lights, if you fail to be as creative as you can possibly be in your attempts at persuasion, then you're just as culpable as someone who purposefully turned someone away from utilitarianism as a normative-ethical position. And if all you do is scorn the virtue ethicists, instead of engaging with them, then you're definitely not being very creative.

On the second level, you have failed to apply your moral principles to yourself. You have not considered that the utility-maximizing action might be something besides getting righteously angry, even if that's the easiest thing to do. And believe me, I get it. I really do understand that impulse.

And if you are that sort of utilitarian who has come to such a repugnant conclusion epistemically, but who has failed to meet your own expectations instrumentally, then be easy now. For there is no longer a question of 'whether or not you should be guilty'. There are only questions of what guilt is used for, and whether or not that guilt ends more lives than it saves.

All of this is not to say that 'moral outrage' is never the utility-maximizing action. I'm at least a little outraged right now. But in the beginning, all you really wanted was to get rid of naive notions of moral responsibility. The action to take in this situation is not to keep them in some places and toss them in others.

Throw out the bath water, and the baby, too. The virtue ethicists are expecting it anyway.

 


Demir, E., Desmet, P. M. A., & Hekkert, P. (2009). Appraisal patterns of emotions in human-product interaction. International Journal of Design, 3(2), 41-51.

Keltner, D., Ellsworth, P., & Edwards, K. (1993). Beyond simple pessimism: Effects of sadness and anger on social perception. Journal of Personality and Social Psychology, 64, 740-752.

Ortony, A., Clore, G. L., & Collins, A. (1990). The Cognitive Structure of Emotions. (1st ed.).

Suggest best book as an introduction to computational neuroscience

2 BiasedBayes 26 April 2016 09:16PM

Im trying to find a best place to start learning the field. I have no special math background. Im very eager to learn. Thanks alot!

 

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