Comment author: Stefan_Schubert 17 April 2016 10:19:41AM 5 points [-]
Comment author: Stefan_Schubert 15 April 2016 08:55:58AM *  1 point [-]

Great post. Another issue is why B doesn't believe Y in spite of believing X and in spite of A believing that X implies Y. Some mechanisms:

a) B rejects that X implies Y, for reasons that are good or bad, or somewhere in between. (Last case: reasonable disagreement.)

b) B hasn't even considered whether X implies Y. (Is not logically omniscient.)

c) Y only follows from X given some additional premises Z, which B either rejects (for reasons that are good or bad or somehwere in between) or hasn't entertained. (What Tyrrell McAllister wrote.)

d) B is confused over the meaning of X, and hence is confused over what X implies. (The dialect case.)

Comment author: Vitor 22 March 2016 04:18:04PM 10 points [-]

Your problem is called a clustering problem. First of all, you need to answer how you measure your error (information loss, as you call it). Typical error norms used are l1 (sum of individual errors), l2 (sum of squares of errors, penalizes larger errors more) and l-infinity (maximum error).

Once you select a norm, there always exists a partition that minimizes your error, and to find it there are a bunch of heuristic algorithms, e.g. k-means clustering. Luckily, since your data is one-dimensional and you have very few categories, you can just brute force it (for 4 categories you need to correctly place 3 boundaries, and naively trying all possible positions takes only n^3 runtime)

Hope this helps.

Comment author: Stefan_Schubert 22 March 2016 08:45:20PM 3 points [-]

Thanks a lot! Yes, super-useful.

Comment author: Stefan_Schubert 22 March 2016 02:14:30PM 2 points [-]

I have a maths question. Suppose that we are scoring n individuals on their performance in an area where there is significant uncertainty. We are categorizing them into a low number of categories, say 4. Effectively we're thereby saying that for the purposes of our scoring, everyone with the same score performs equally well. Suppose that we say that this means that all individuals with that score get assigned the mean actual performance of the individuals with that that score. For instance, if there were three people who got the highest score, and their perfomance equals 8, 12 and 13 units, the assigned performance is 11 units.

Now suppose that we want our scoring system to minimise information loss, so that the assigned performance is on average as close as possible to the actual performance. The question is: how do we achieve this? Specifically, how large a proportion of all individuals should fall into each category, and how does that depend on the performance distribution?

It would seem that if performance is linearly increasing as we go from low to high performers, then all categories should have the same number of individuals, whereas if the increase is exponential, then the higher categories should have a smaller number of individuals. Is there a theorem that proves this, and which exacty specifies how large the categories should be for a given shape of the curve? Thanks.

Identifying bias. A Bayesian analysis of suspicious agreement between beliefs and values.

7 Stefan_Schubert 31 January 2016 11:29AM

Here is a new paper of mine (12 pages) on suspicious agreement between belief and values. The idea is that if your empirical beliefs systematically support your values, then that is evidence that you arrived at those beliefs through a biased belief-forming process. This is especially so if those beliefs concern propositions which aren’t probabilistically correlated with each other, I argue.

I have previously written several LW posts on these kinds of arguments (here and here; see also mine and ClearerThinking’s political bias test) but here the analysis is more thorough. See also Thrasymachus' recent post on the same theme.

Comment author: PhilGoetz 29 October 2015 04:03:32AM *  14 points [-]

"Spreading quicker" may not be the best question to ask. The question I'm more interested in is, What is the relationship between speed of communication, and the curve that describes innovation over time?

A good model for this is the degree of genetic isolation in a genetic algorithm. Compare two settings for a GA. One allows mating between any two organisms in the population. Another has many subpopulations, and allows genetic exchange between subpopulations less frequently.

Plot the fitness of the most-fit organism in each population by generation. The first GA, which has fast genetic communication, will initially outstrip the second, but it will plateau at a lower level of fitness, and all the organisms in the population will be identical, and evolution will stop. This is called premature convergence.

The second GA, with restricted genetic communication, will catch up and pass the fitness of the first GA, usually continuing on to a much higher optimum, because it maintains homogenous subpopulations (which allows adaptation) but a diverse global population (which prevents premature convergence).

Think about the development of pop music. As communication technology improved, pop stars like Elvis could be heard, seen, and their records marketed and moved across the entire country more efficiently than marketing local musicians, and replaced live performers with recorded music. On one hand, you could live in Peoria and listen to the most-popular musicians in the country. On the other, by 1990, American pop music had nearly stopped evolving. Rebecca Black could become popular across the nation in a single week, but the amount of innovation or quality she produced was negligible.

Basically, rapid communication gives people too much choice. They choose things comfortably similar to what they know. Isolation is needed to allow new things to gain an audience before they're stomped out by the dominant things.

You need to state your preferences as a function of the long-term trajectory of the entropy of ideas, rather than as any instantaneous quantity.

Comment author: Stefan_Schubert 29 October 2015 11:09:29AM *  3 points [-]

Great comment. Thanks!

Basically, rapid communication gives people too much choice. They choose things comfortably similar to what they know. Isolation is needed to allow new things to gain an audience before they're stomped out by the dominant things.

This is an interesting idea, reminiscent of, e.g. Lakatos's view of the philosophy of science. He argued that we shouldn't let new theories be discarded too quickly, just because they seem to have some things going against them. Only if their main tenets prove to be unfeasible should we discard them.

I think premature convergence does occur regarding the spread of ideas (memes), too (though it obviously varies). I do think, for instance, that what you describe in music has to a certain extent happened in analytic philosophy. In the early 20th century, several "scientific" approaches to philosophy developed, in, e.g. Cambridge, Vienna and Upsala. Today, the higher pace of communication leads to more convergence.

Comment author: Viliam 29 October 2015 09:11:27AM *  11 points [-]

What about non-elite groups? (...) they are likely to be heavily influenced by the cognitive elite, especially in the longer run.

I think they are likely to be influenced by whom they consider high-status. If you succeed to make a conspiracy theory website seem like an authoritative source (it must seem as professional as the mainstream media, except that it brings "news you will not hear elsewhere"), that's all you need.

Why would anyone make a professionally looking conspiracy theory website? Aren't "professionality" and "crackpot thinking" kinda opposed in real life? Yeah, the genuine crackpots usually also have low regards for mainstream design or marketing. But a professionally looking conspiracy theory website is a great vehicle for political propaganda. So a foreign government may spend a lot of money and professional work to make a high-status conspiracy website, where the conspiracies are filtered, and only those that are neutral or convenient for the owner are published.

This is not a hypothetical scenario. Russians already have such website with online radio in my country. I see advertisements for it almost everywhere. The content is more or less: "Things your government wants to keep secret from you: Vaccination causes autism. West is the source of all evil. Russia is a paradise. Being a member of European Union is bad for you, because they will kidnap and abuse your children!" And of course, the website is "independent and alternative".

Comment author: Stefan_Schubert 29 October 2015 10:55:46AM *  0 points [-]

I agree with all of this. The upshot seems to be that its important that those who actually have good ideas achieve high status.

Does the Internet lead to good ideas spreading quicker?

5 Stefan_Schubert 28 October 2015 10:30PM

I think it does among the cognitive elite, and that this explains the rise of complex but good ideas such as applied rationality and Effective altruism. I'm less sure about other groups.

The Internet increases the speed and the convenience of communication vastly. It also makes it much easier for people with shared interests to get in contact.

This will of course lead to a tremendous increase in the amount of false or useless information. But it will also lead to an increase in true and relevant information.

Now members of the cognitive elite are, or so I claim, reasonably good at distinguishing between good and bad ideas. They do this not the least by finding reliable sources. They will quickly pass this, mostly true information, on to other members of the cognitive elite. This means that the higher pace of information dissemination will translate into a higher pace of learning true ideas, for this group.

What about non-elite groups? I'm not sure. On the one hand, they are, by definition, not as good at distinguishing between good and bad ideas. On the other hand, they are likely to be heavily influenced by the cognitive elite, especially in the longer run.

By and large, I think we have cause for optimism, though: good ideas will continue to spread quickly. How could we make them spread even quicker?The most obvious solution is to increase the reliability of information. Notice that while information technology has made it much more convenient to share information quickly, it hasn't increased the reliability of information.

There are a couple of ways of addressing this problem. One is better reputation/karma systems. That would both incentivize people to disseminate true and relevant information, and make it easier to find true and relevant information. (An alternative, and to my mind interesting, version is reputation systems where the scores aren't produced by users, but rather by verified experts.)

Another method is automatic quality-control of information (e.g. fact-checking). Google have done some work on this, but still, it is in its infancy. It'll be interesting to follow the development in this area in the years to come.

Comment author: ChristianKl 23 October 2015 03:19:10PM 2 points [-]

I think I will want to see further the further debates in the US presidential race in this format. At the moment I don't see a clear link where I can express that preferance and get an email when the next debates get released with annotations.

Comment author: Stefan_Schubert 27 October 2015 06:12:31PM 1 point [-]

Good to hear, Christian. We're currently subtitling a bit more of the CNN Democratic debate, which should be up soon. We haven't decided, though, to what extent we will subtitle future debates. This is extremely time-consuming. But you could subscribe to ClearerThinking, who are likely to announce any major new updates. (They also do lots of other rationality related stuff; most notably rationality tests.)

Comment author: fubarobfusco 23 October 2015 11:08:14PM 5 points [-]

In order to be fact-checked, a statement has to be truth-apt in the first place. That is, it has to be the sort of statement that is capable of being true or false.

A lot of political arguments aren't truth-apt; they amount to cheering ("Georgism, boo! Synarchism, yay!") as opposed to historical claims ("Countries that adopt goat control have seen their arson rate double") or even theoretical claims ("The erotic calculation problem predicts that college-educated adults will move out of states that ban vibrators").

Comment author: Stefan_Schubert 27 October 2015 06:07:15PM 0 points [-]

Your criticism would be much more interesting if you pointed to concrete problems in my fact-checking/argument-checking.

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