LessWrong anti-kibitzer (hides comment authors and vote counts)

40Marcello09 March 2009 07:18PM

Related to Information Cascades

Information Cascades has implied that people's votes are being biased by the number of votes already cast.  Similarly, some commenters express a perception that higher status posters are being upvoted too much.

If, like me, you suspect that you might be prone to these biases, you can correct for them by installing LessWrong anti-kibitzer which I hacked together yesterday morning.  You will need Firefox with the greasemonkey extention installed.  Once you have greasemonkey installed, clicking on the link to the script will pop up a dialog box asking if you want to enable the script.  Once you enable it, a button which you can use to toggle the visibility of author and point count information should appear in the upper right corner of any page on LessWrong.  (On any page you load, the authors and pointcounts are automatically hidden until you show them.)  Let me know if it doesn't work for any of you.

Already, I've had some interesting experiences.  There were a few comments that I thought were written by Eliezer that turned out not to be (though perhaps people are copying his writing style.)  There were also comments that I thought contained good arguments which were written by people I was apparently too quick to dismiss as trolls.  What are your experiences?

You don't need Kant

13Andrew01 April 2009 06:09PM

Related to: Comments on Degrees of Radical Honesty, OB: Belief in Belief, Cached Thoughts.

"Nothing worse could happen to these labours than that anyone should make the unexpected discovery that there neither is, nor can be, any a priori knowledge at all.... This would be the same thing as if one sought to prove by reason that there is no reason" (Critique of Practical Reason, Introduction).

You don't need Kant to demonstrate the value of honesty. In fact, summoning his revenant can be a dangerous thing to do. You end up in the somewhat undesirable situation of having almost the right conclusion, but having it for the wrong reasons. Reasons you weren't even aware of, because they were all collapsed into the belief, "I believe in person X".

One of the annoying things about philosophy is that the dead simply don't die. Once a philosopher or philosophical doctrine gains some celebrity in the community, it's very difficult to convince anyone afterward that said philosopher or doctrine was flawed. In other words, the philosophical community tends to have problems with relinquishment. Therefore, there are still many philosophers that spend their careers studying, for example, Plato, apparently not with the intent to determine what parts of what Plato wrote are correct or still applicable, but rather with the intent to defend Plato from criticism. To prove Plato was right.

Since the community doesn't value relinquishment, the cost of writing a flawed criticism is very low. Therefore, journals are glutted with so-called "negative results": "Kant was wrong", "Hegel was wrong", etc. No one seriously believes otherwise, but writing positive philosophical results is hard, and not writing at all isn't a viable career option for a professional philosopher.

To its credit, MBlume refrains from bringing up Kant in his article on radical honesty, where he cites other, more feasible variants of radical honesty. However, in the comments, Kant rears his ugly head.

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Rationalists should beware rationalism

15Kaj_Sotala06 April 2009 02:16PM

Rationalism is most often characterized as an epistemological position. On this view, to be a rationalist requires at least one of the following: (1) a privileging of reason and intuition over sensation and experience, (2) regarding all or most ideas as innate rather than adventitious, (3) an emphasis on certain rather than merely probable knowledge as the goal of enquiry. -- The Stanford Encyclopedia of Philosophy on Continental Rationalism.

By now, there are some things which most Less Wrong readers will agree on. One of them is that beliefs must be fueled by evidence gathered from the environment. A belief must correlate with reality, and an important part of that is whether or not it can be tested - if a belief produces no anticipation of experience, it is nearly worthless. We can never try to confirm a theory, only test it.

But yet, we seem to have no problem coming up with theories that are either untestable or that we have no intention of testing, such as evolutionary psychological explanations for the underdog effect.

I'm being a bit unfair here. Those posts were well thought out and reasonably argued, and Roko's post actually made testable predictions. Yvain even made a good try at solving the puzzle, and when he couldn't, he reasonably concluded that he was stumped and asked for help. That sounds like a proper use of humility to me.

But the way that ev-psych explanations get rapidly manufactured and carelessly flung around on OB and LW has always been a bit of a pet peeve for me, as that's exactly how bad evpsych gets done. The best evolutionary psychology takes biological and evolutionary facts, applies those to humans and then makes testable predictions, which it goes on to verify. It doesn't take existing behaviors and then try to come up with some nice-sounding rationalization for them, blind to whether or not the rationalization can be tested. Not every behavior needs to have an evolutionary explanation - it could have evolved via genetic drift, or be a pure side-effect from some actual adaptation. If we set out by trying to find an evolutionary reason for some behavior, we are assuming from the start that there must be one, when it isn't a given that there is. And even a good theory need not explain every observation.

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Consider Representative Data Sets

4Vladimir_Nesov06 May 2009 01:49AM

In this article, I consider the standard biases in drawing factual conclusions that are not related to emotional reactions, and describe a simple model summarizing what goes wrong with the reasoning in these cases, that in turn suggests a way of systematically avoiding this kind of problems.

The following model is used to describe the process of getting from a question to a (potentially biased) answer for the purposes of this article. First, you ask yourself a question. Second, in the context of the question, a data set is presented before your mind, either directly, by you looking at the explicit statements of fact, or indirectly, by associated facts becoming salient to your attention, triggered by the explicit data items or by the question. Third, you construct an intuitive model of some phenomenon, that allows to see its properties, as a result of considering the data set. And finally, you pronounce the answer, that is read out as one of the properties of the model you've just constructed.

This description is meant to present mental paintbrush handles, to refer to the things you can see introspectively, and things you could operate consciously if you choose to.

Most of the biases in the considered class may be seen as particular ways in which you pay attention to a wrong data set, not representative of the phenomenon you model to get to the answer you seek. As a result, the intuitive model gets systematically wrong, and the answer read out from it gets biased. Below I review the specific biases, to identify the ways in which things go wrong in each particular case, and then I summarize the classes of mistakes of reasoning playing major roles in these biases and correspondingly the ways of avoiding those mistakes.

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Rationality in the Media: Don't (New Yorker, May 2009)

7Andrew12 May 2009 01:32PM

Link: "Don't: The secret of self-control", Jonah Lehrer. The New Yorker. May 18, 2009.

Article Summary

Walter Mischel, a psychologist at Columbia University, has spent a long time studying what correlates with failing or passing a test intended to measure a preschooler's ability to delay gratification. The original experiment, involving a marshmallow and the promise of another if the first one remained uneaten for fifteen minutes, took place at Bing Nursery School in the "late 1960's". Mischel found several correlates, none of them really surprising. He discovered a few methods that allowed children to learn better delay gratification, but it is unclear if the learning the tricks changed any of the correlations. He and the research tradition he started are now waiting for fMRI studies, because that's what the discriminating 21st century psychologist does.

Best line: "'I know I shouldn't like them,' she says. 'But they're just so delicious!'"

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Catchy Fallacy Name Fallacy (and Supporting Disagreement)

19JGWeissman21 May 2009 06:01AM

Related: The Pascal's Wager Fallacy Fallacy, The Fallacy Fallacy

Inspired by:

We need a catchy name for the fallacy of being over-eager to accuse people of fallacies that you have catchy names for.

 

When you read an argument you don't like, but don't know how to attack on its merits, there is a trick you can turn to. Just say it commits1 some fallacy, preferably one with a clever name. Others will side with you, not wanting to associate themselves with a fallacy. Don't bother to explain how the fallacy applies, just provide a link to an article about it, and let stand the implication that people should be able to figure it out from the link. It's not like anyone would want to expose their ignorance by asking for an actual explanation.

What a horrible state of affairs I have described in the last paragraph. It seems, if we follow that advice, that every fallacy we even know the name of makes us stupider. So, I present a fallacy name that I hope will exactly counterbalance the effects I described. If you are worried that you might defend an argument that has been accused of committing some fallacy, you should be equally worried that you might support an accusation that commits the Catchy Fallacy Name Fallacy. Well, now that you have that problem either way, you might as well try to figure if the argument did indeed commit the fallacy, by examining the actual details of the fallacy and whether they actually describe the argument.

But, what is the essence of this Catchy Fallacy Name Fallacy? The problem is not the accusation of committing a fallacy itself, but that the accusation is vague. The essence is "Don't bother to explain". The way to avoid this problem is to entangle your counterargument, whether it makes a fallacy accusation or not, with the argument you intend to refute. Your counterargument should distinguish good arguments from bad arguments, in that it specifies criteria that systematically apply to a class of bad arguments but not to good arguments. And those criteria should be matched up with details of the allegedly bad argument.

The wrong way:

It seems that you've committed the Confirmation Bias.

The right way:

The Confirmation Bias is when you find only confirming evidence because you only look for confirming evidence. You looked only for confirming evidence by asking people for stories of their success with Technique X.

Notice how the right way would seem very out of place when applied against an argument it does not fit. This is what I mean when I say the counterargument should distinguish the allegedly bad argument from good arguments.

And, if someone commits the Catchy Fallacy Name Fallacy in trying to refute your arguments, or even someone else's, call them on it. But don't just link here, you wouldn't want to commit the Catchy Fallacy Name Fallacy Fallacy. Ask them how their counterargument distinguishes the allegedly bad argument from arguments that don't have the problem.

 

1 Of course, when I say that an argument commits a fallacy, I really mean that the person who made that argument, in doing so, committed the fallacy.

Don't Count Your Chickens...

3thomblake17 June 2009 03:21PM

A blog post by Derek Sivers links to evidence that stating one's goals makes one less likely to accomplish them.

Excerpt:

Announcing your plans to others satisfies your self-identity just enough that you're less motivated to do the hard work needed.

Link: Shut up! Announcing your plans makes you less motivated to accomplish them.

What's In A Name?

33Yvain29 June 2009 12:54PM

   Marge: You changed your name without consulting me?
   Homer: That's the way Max Power is, Marge.  Decisive.
      --
The Simpsons

In honor of Will Powers and his theories about self-control, today I would like to talk about my favorite bias ever, the name letter effect. The name letter effect doesn't cause global existential risk or stock market crashes, and it's pretty far down on the list of things to compensate for. But it's a good example of just how insidious biases can be and of the egoism that permeates every level of the mind.

The name letter effect is your subconscious preference for things that sound like your own name. This might be expected to mostly apply to small choices like product brand names, but it's been observed in choices of spouse, city of residence, and even career. Some evidence comes from Pelham et al's Why Susie Sells Seashells By The Seashore:

The paper's first few studies investigate the relationship between a person's name and where they live. People named Phil were found more frequently than usual in Philadelphia, people named Jack in Jacksonville, people named George in Georgia, and so on with p < .001. To eliminate the possibility of the familiarity effect causing parents to subconsciously name their children after their place of residence, further studies were done with surnames and with people who moved later in life, both with the same results. The results held across US and Canadian city names as well as US state names, and were significant both for first name and surname.

In case that wasn't implausible enough, the researchers also looked at association between birth date and city of residence: that is, were people born on 2/02 more likely to live in the town of Two Harbors, and 3/03 babies more likely to live in Three Forks? With p = .003, yes, they are.

The researchers then moved on to career choices. They combed the records of the American Dental Association and the American Bar association looking for people named either Dennis, Denice, Dena, Denver, et cetera, or Lawrence, Larry, Laura, Lauren, et cetera. That is: were there more dentists named Dennis and lawyers named Lawrence than vice versa? Of the various statistical analyses they performed, most said yes, some at < .001 level. Other studies determined that there was a suspicious surplus of geologists named Geoffrey, and that hardware store owners were more likely to have names starting with 'H' compared to roofing store owners, who were more likely to have names starting with 'R'.

Some other miscellaneous findings: people are more likely to donate to Presidential candidates whose names begin with the same letter as their own, people are more likely to marry spouses whose names begin with the same letter as their own, that women are more likely to show name preference effects than men (but why?), and that batters with names beginning in 'K' are more likely than others to strike out (strikeouts being symbolized by a 'K' on the records).

If you have any doubts about the validity of the research, I urge you to read the linked paper. It's a great example of researchers who go above and beyond the call of duty to eliminate as many confounders as possible.

The name letter effect is a great addition to any list of psychological curiosities, but it does have some more solid applications. I often use it as my first example when I'm introducing the idea of subconscious biases to people, because it's clear, surprising, and has major real-world effects. It also tends to shut up people who don't believe there are subconscious influences on decision-making, and who are always willing to find some excuse for why a supposed "bias" could actually be an example of legitimate decision-making.

And it introduces the concept of implicit egoism, the tendency to prefer something just because it's associated with you. It's one possible explanation for the endowment effect, and if it applies to my beliefs as strongly as to my personal details or my property, it's yet another mechanism by which opinions become calcified.

This is also an interesting window onto the complex and important world of self-esteem. Jones, Pelham et al suggest that the name preference effect is either involved in or a byproduct of some sort of self-esteem regulatory system. They find that name preferences are most common among high self-esteem people who have just experienced threats to their self-esteem, almost as if it is a reactive way of saying "No, you really are that great." I think an examination of how different biases interact with self-esteem would be a profitable direction for future research.

Harnessing Your Biases

9swestrup02 July 2009 08:45PM

Theoretically, my 'truth' function, the amount of evidence I need to cache something as 'probably true and reliable' should be a constant. I find, however, that it isn't. I read a large amount of scientific literature every day, and only have time to investigate a scant amount of it in practice. So, typically I rely upon science reporting that I've found to be accurate in the past, and only investigate the few things that have direct relevance to work I am doing (or may end up doing).

Today I noticed something about my habits. I saw an article on how string theory was making testable predictions in the realm of condensed matter physics, and specifically about room-temperature superconductors. While a pet interest of mine, this is not an area that I'm ever likely to be working in, but the article seemed sound and so I decided it was an interesting fact, and moved on, not even realizing that I had cached it as probably true.

A few minutes later it occurred to me that some of my friends might also be interested in the article. I have a Google RSS feed that I use to republish occasional articles that I think are worth reading. I have a known readership of all of 2. Suddenly, I discovered that what I had been willing to accept as 'probably true' on my own behalf was no longer good enough. Now I wanted to look at the original paper itself, and to see if I could find any learnéd refutations or comments.

This seems to be because my reputation was now, however tangentially, "on the line" since I have a reputation in my circle of friends as the science geek and would not want to damage it by steering someone wrong. Now, clearly this is wrong headed. My theory of truth should be my theory of truth, period.

One could argue, I suppose, that information that I store internally can only affect my own behavior while information that I disseminate can affect the behaviour of an arbitrarily large group of people, and so a more stringent standard should apply to things I tell others. In fact that was the first justification that sprang to mind when I noticed my double standard.

Its a bogus argument though, as none of my friends are likely to repeat the article or post it in their blogs and so the dissemination has only a tiny probability of propagating by that route. However, once its in my head and I'm treating it as true, I'm very likely to trot it out as an interesting fact when I'm talking at Science Fiction conventions or to groups of interested geeks. If anything, the standard for my believing something should be more stringent than my standard for repeating it, not the other way around.

But, the title of this post is "Harnessing Your Biases" and it seems to me that if I am going to have this strange predisposition to check more carefully if I am going to publish something, then maybe I need to set up a blog of things I have read that I think are true. It can just be an edited feed of my RSS stream, since this is simple to put together. Then I may find myself being more careful in what I accept as true. The mere fact that I have the feed and that its public (although I doubt that anyone would, in fact, read it), would make me more careful. Its even possible that it will contain very few articles as I would find I don't have time to investigate interesting claims well enough to declare them true, but this will have the positive side effect that I won't go around caching them internally as true either.

I think that, in many ways, this is why, in the software field, code reviews are universally touted as an extraordinarily cheap and efficient way of improving code design and documentation while decreasing bugs, and yet is very hard to get put into practice. The idea is that after you've written any piece of code, you give it to a coworker to critique before you put it in the code base. If they find too many things to complain about, it goes back for revision before being given to yet another coworker to check. This continues until its deemed acceptable.

In practice, the quality of work goes way up and the speed of raw production goes down marginally. The end result is code that needs far less debugging and so the number of working lines of code produced per day goes way up. I think this is because programmers in such a regime quickly find that the testing and documenting that they think is 'good enough' when their work is not going to be immediately reviewed is far less than the testing and documenting they do when they know they have to hand it to a coworker to criticize. The downside, of course, is that they are now opening themselves up for criticism on a daily basis, and this is something that few folks enjoy no matter how good it is for them, and so the practice continues to be quite rare due to programmer resistance to the idea.

This appears to be two different ways in which to harness the bias that folks have to do better (or more careful) work when it is going to be examined, to achieve better results. Can anyone else here think of other biases that can be exploited in useful ways to leverage greater productivity or reliability in projects?

 

The Popularization Bias

16Wei_Dai17 July 2009 03:43PM

I noticed that most recommendations in the recent recommended readings thread consist of either fiction or popularizations of specific scientific disciplines. This introduces a potential bias: aspiring rationalists may never learn about some fields or ideas that are important for the art of rationality, just because they've never been popularized.

In my recent post on the fair division of black-hole negentropy, I tried to introduce two such ideas/fields (which may be one too many for a single post :). One is that black holes have entropy quadratic in mass, and therefore are ideal entropy dumps (or equivalently, negentropy mines). This is a well-known result in thermodynamics, plus an obvious application of it. Some have complained that the idea is too sci-fi, but actually the opposite is true. Unlike other perhaps equally obvious futuristic ideas such as cryonics, AI and the Singularity, I've never read or watched a piece of science fiction that explorered this one. (BTW, in case it's not clear why black-hole negentropy is important for rationality, it implies that value probably scales superlinearly with material and that huge gains from cooperation can be directly derived from the fundamental laws of physics.)

Similarly, there are many popularizations of topics such as the Prisoner's Dilemma and the Nash Equilibrium in non-cooperative game theory (and even a blockbuster movie about John Nash!), but I'm not aware of any for cooperative game theory.

Much of Less Wrong, and Overcoming Bias before it, can be seen as an attempt to correct this bias. Eliezer's posts have provided fictional treatments or popular accounts of probability theory, decision theory, MWI, algorithmic information theory, Bayesian networks, and various ethical theories, to name a few, and others have continued the tradition to some extent. But since popularization and writing fiction are hard, and not many people have both the skills and the motivation to do them, I wonder if there are still other important ideas/fields that most of us don't know about yet.

So here's my request: if you know of such a field or idea, just name it in a comment and give a reference for it, and maybe say a few words about why it's important, if that's not obvious. Some of us may be motivated to learn about it for whatever reason, even from a textbook or academic article, and may eventually produce a popular account for it.

 

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