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Knowing About Biases Can Hurt People

4Eliezer_Yudkowsky04 April 2007 06:01PM

Once upon a time I tried to tell my mother about the problem of expert calibration, saying:  "So when an expert says they're 99% confident, it only happens about 70% of the time."  Then there was a pause as, suddenly, I realized I was talking to my mother, and I hastily added:  "Of course, you've got to make sure to apply that skepticism evenhandedly, including to yourself, rather than just using it to argue against anything you disagree with -"

And my mother said:  "Are you kidding?  This is great!  I'm going to use it all the time!"

Taber and Lodge's Motivated skepticism in the evaluation of political beliefs describes the confirmation of six predictions:

  1. Prior attitude effect. Subjects who feel strongly about an issue - even when encouraged to be objective - will evaluate supportive arguments more favorably than contrary arguments.
  2. Disconfirmation bias. Subjects will spend more time and cognitive resources denigrating contrary arguments than supportive arguments.
  3. Confirmation bias. Subjects free to choose their information sources will seek out supportive rather than contrary sources.
  4. Attitude polarization. Exposing subjects to an apparently balanced set of pro and con arguments will exaggerate their initial polarization.
  5. Attitude strength effect. Subjects voicing stronger attitudes will be more prone to the above biases.
  6. Sophistication effect. Politically knowledgeable subjects, because they possess greater ammunition with which to counter-argue incongruent facts and arguments, will be more prone to the above biases.

If you're irrational to start with, having more knowledge can hurt you.  For a true Bayesian, information would never have negative expected utility.  But humans aren't perfect Bayes-wielders; if we're not careful, we can cut ourselves.

I've seen people severely messed up by their own knowledge of biases.  They have more ammunition with which to argue against anything they don't like.  And that problem - too much ready ammunition - is one of the primary ways that people with high mental agility end up stupid, in Stanovich's "dysrationalia" sense of stupidity.

You can think of people who fit this description, right?  People with high g-factor who end up being less effective because they are too sophisticated as arguers?  Do you think you'd be helping them - making them more effective rationalists - if you just told them about a list of classic biases?

I recall someone who learned about the calibration / overconfidence problem.  Soon after he said:  "Well, you can't trust experts; they're wrong so often as experiments have shown.  So therefore, when I predict the future, I prefer to assume that things will continue historically as they have -" and went off into this whole complex, error-prone, highly questionable extrapolation.  Somehow, when it came to trusting his own preferred conclusions, all those biases and fallacies seemed much less salient - leapt much less readily to mind - than when he needed to counter-argue someone else.

I told the one about the problem of disconfirmation bias and sophisticated argument, and lo and behold, the next time I said something he didn't like, he accused me of being a sophisticated arguer.  He didn't try to point out any particular sophisticated argument, any particular flaw - just shook his head and sighed sadly over how I was apparently using my own intelligence to defeat itself.  He had acquired yet another Fully General Counterargument.

Even the notion of a "sophisticated arguer" can be deadly, if it leaps all too readily to mind when you encounter a seemingly intelligent person who says something you don't like.

I endeavor to learn from my mistakes.  The last time I gave a talk on heuristics and biases, I started out by introducing the general concept by way of the conjunction fallacy and representativeness heuristic.  And then I moved on to confirmation bias, disconfirmation bias, sophisticated argument, motivated skepticism, and other attitude effects.  I spent the next thirty minutes hammering on that theme, reintroducing it from as many different perspectives as I could.

I wanted to get my audience interested in the subject.  Well, a simple description of conjunction fallacy and representativeness would suffice for that.  But suppose they did get interested.  Then what?  The literature on bias is mostly cognitive psychology for cognitive psychology's sake.  I had to give my audience their dire warnings during that one lecture, or they probably wouldn't hear them at all.

Whether I do it on paper, or in speech, I now try to never mention calibration and overconfidence unless I have first talked about disconfirmation bias, motivated skepticism, sophisticated arguers, and dysrationalia in the mentally agile.  First, do no harm!

Comments (24)

michael_vassar04 April 2007 07:17:04PM0 points [-]

Humans aren't just not perfect Bayesians. Very very few of us are even Bayesian wannabes. In essence, everyone who thinks that it is more moral/ethical to hold some proposition than to hold it's converse is taking some criterion other than appearent truth as normative with respect to the evaluation of beliefs.

anonymous204 April 2007 09:39:02PM0 points [-]

Hmm... thanks for writing this. I just realized that I may resemble your argumentative friend in some ways. I should bookmark this.

Rafe_Furst04 April 2007 11:04:58PM0 points [-]

I didn't know whether to post this reply to "Black swans from the future" or here, so I'll just reference it:

http://www.overcomingbias.com/2007/04/black_swans_fro.html#comment-65404590

Good post, Eliezer.

HalFinney05 April 2007 02:47:05AM1 point [-]

I've pointed before to this very good review of Philip Tetlock's book, Expert Political Judgment. The review describes the results of Tetlock's experiments evaluating expert predictions in the field of international politics, where they did very poorly. On average the experts did about as well as random predictions and were badly outperformed by simple statistical extrapolations.

Even after going over the many ways the experts failed in detail, and even though the review is titled "Everybody’s An Expert", the reviewer concludes, "But the best lesson of Tetlock’s book may be the one that he seems most reluctant to draw: Think for yourself."

Does that make sense, though? Think for yourself? If you've just read an entire book describing how poorly people did who thought for themselves and had a lot more knowledge than you do, is it really likely that you will do better to think for yourself? This advice looks like the same kind of flaw Eliezer describes here, the failure to generalize from knowledge of others' failures to appreciation of your own.

Eliezer_Yudkowsky05 April 2007 04:08:38AM1 point [-]

Hal, to be precise, the bias is generalizing from knowledge of others' failures to skepticism about disliked conclusions, but failing to generalize to skepticism about preferred conclusions or one's own conclusions. That is, the error is not absence of generalization, but imbalance of generalization, which is far deadlier. I do agree with you that the reviewer's conclusion is not supported (to put it mildly) by the evidence under review.

Rafe_Furst05 April 2007 02:23:58PM0 points [-]

So why, then, is this blog not incorporating more statistical and collective de-biasing mechanisms? There are some out-of-the-box web widgets and mildly manual methods to incorporate that would at the very least provide new grist for the discussion mill.

Michael_Rooney05 April 2007 04:29:31PM2 points [-]

The error here is similar to one I see all the time in beginning philosophy students: when confronted with reasons to be skeptics, they instead become relativists. That is, where the rational conclusion is to suspend judgment about an issue, all too many people instead conclude that any judgment is as plausible as any other.

HalFinney05 April 2007 05:06:30PM0 points [-]

I would love to hear more about such methods, Rafe. This blog tends to be a somewhat abstract and "meta" but I would like to do more case studies on specific issues and look at how we could come to a less biased view of the truth. I did a couple of postings on the "Peak Oil" controversy a few months ago along these lines.

Eliezer_Yudkowsky05 April 2007 06:10:51PM0 points [-]

Rafe, name three.

Rooney, I don't disagree that this would be a mistake, but in my experience the balance of evidence is very rarely exactly even - because hypotheses have inherent penalties for complexity. Where there is no evidence in favor of a complicated proposed belief, it is almost always correct to reject it, not suspend judgment. The only cases I can think of where I suspend judgment are binary or small discrete hypothesis spaces, like "Was it murder or suicide?", or matters like the anthropic principle, where there is no null hypothesis to take refuge in, and any position is attackable.

CarlShulman05 April 2007 09:11:55PM0 points [-]

I have also had repeated encounters with individuals who take the bias literature to provide 'equal and opposite biases' for every situation, and take this as reason to continue to hold their initial beliefs. The situation is reminiscent of many economic discussions, where bright minds question whether the effect of a change on some quantity will be positive, negative or ambiguous. The discussants eagerly search for at least one theoretical effect that could move the quantity in a positive direction, one that could move it in the negative, and then declare the effect ambiguous after demonstrating their cleverness, without evaluating the actual size of the opposed effects.

I would recommend that when we talk about opposed biases, at least those for which there is an experimental literature, we should give rough indications of their magnitudes to discourage our audiences from utilizing the 'it's all a wash' excuse to avoid analysis.

Kip_Werking06 April 2007 03:42:42AM0 points [-]

As someone who seems to have "thrown the kitchen sink" of cognitive biases at the free will problem, I wonder if I've suffered from this meta-bias myself. I find only modest reassurance in the facts that: (i) others have agreed with me and (ii) my challenge for others to find biases that would favor disbelief in free will has gone almost entirely unanswered.

But this is a good reminder that one can get carried away...

Michael_Rooney06 April 2007 08:35:39PM0 points [-]

Eliezer, I agree that exactly even balances of evidence are rare. However, I would think suspending judgment to be rational in many situations where the balance of evidence is not exactly even. For example, if I roll a die, it would hardly be rational to believe "it will not come up 5 or 6", despite the balance of evidence being in favor of such a belief. If you are willing to make >50% the threshold of rational belief, you will hold numerous false and contradictory beliefs.

Also, I have some doubt about your claim that when "there is no evidence in favor of a complicated proposed belief, it is almost always correct to reject it". If you proposed a complicated belief of 20th century physics (say, Bell's theorem) to Archimedes, he would be right to say he has no evidence in its favor. Nonetheless, it would not be correct for Archimedes to conclude that Bell's theorem is therefore false.

Perhaps I am misunderstanding you.

DanielLC27 December 2009 07:04:34AM0 points [-]

If you gave him almost anything else that complex, it actually would be false. Once something gets even moderately complex, there is a huge number of other things that complex.

Technically, he should figure that there's just a one in 10^somethingorother chance that it's true, but you can't remember all 10^somethingorother things that are that unlikely, so you're best off to reject it.

pdf23ds06 April 2007 09:09:40PM0 points [-]

"Nonetheless, it would not be correct for Archimedes to conclude that Bell's theorem is therefore false."

I think this is a terrible hypothetical to use to illuminate your point, since most of Archimedes' decision would be based on how much evidence is proper to give to the source of information he gets the theorem from. I would say that, for any historically plausible mechanism, he'd certainly be correct in rejecting it.

Eliezer_Yudkowsky06 April 2007 11:40:16PM0 points [-]

Rooney, where there isn't any evidence, then indeed it may be appropriate to suspend judgment over a large hypothesis space, which indeed is not the same as being able to justifiably adopt a random such judgment - anyone who wants to assign more than default probability mass is being irrational.

I concur that Bell's theorem is a terrible hypothetical, because the whole point is that, in real life, without evidence, there's absolutely no way for Archimedes to just accidentally hit on Bell's theorem - in his lifetime he will not reach that part of the search space; anything he tries without evidence will be wrong. It's exactly like saying, "But what if you did buy the winning lottery ticket? Then it would have high expected utility."

I don't think that 50% is a distinguished threshold for probability. Heck, I don't think 1 in 20 is a distinguished threshold for probability. The point of a binary decision space is that it is small and discrete, not that it is binary.

Michael_Rooney07 April 2007 01:15:29AM0 points [-]

Eliezer, I think we are misunderstanding each other, possibly merely about terminology.

When you (and pdf) say "reject", I am taking you to mean "regard as false". I may be mistaken about that.

I would hope that you don't mean that, for if so, your claim that "no evidence in favor -> almost always false" seems bound to lead to massive errors. For example, you have no evidence in favor of the claim "Rooney has string in his pockets". But you wouldn't on such grounds aver that such a claim is almost certainly false. The appropriate response would be to suspend judgment, i.e., to neither reject nor accept. Perhaps I am not understanding what counts as a suitably "complicated" belief.

As for Archimedes meeting Bell's theorem, perhaps it was too counter-factual an example. However, I wouldn't say it's comparable to the "high utility" of the winning lottery ticket: it the case of the lottery, the relevant probabilities are known. By contrast, Archimedes (supposing he were able to understand the theorem) would be ignorant of any evidence to confirm or disconfirm it. Thus I would hope that he would refrain from rejecting it, merely regarding it as a puzzling vision from Zeus, perhaps.

pdf23ds07 April 2007 02:08:15AM0 points [-]

The probability that an arbitrary person has string in their pockets (given that they're wearing pockets at the time) is knowable, and given no other information we could say that it's X%. The proper attitude towards the claim "Rooney has string in his pockets" is that it has about an X% chance of being true. (Unless we get other evidence to the contrary--and the fact that someone made the claim might be evidence here.)

Say X is 3%. Then I should say that Rooney very likely has no string in his pockets. Say X were 50%. *Then* I should say that there's an even chance Rooney has string in his pockets. In neither case am I withholding judgment. Given what you've said, Rooney, I think you might say that the latter *would* be withholding judgment? Or would you say that neither assertion is justified, and in that case, what does it mean to withhold judgment?

I think there's a post somewhere last year where Eliezer went over these points.

Eliezer_Yudkowsky07 April 2007 02:54:55AM0 points [-]

Pdf, maybe you're referring to "I Don't Know"?

Rooney, I think you're interpreting "reject" as "state with certainty that it is not true" or "behave as if there is definite evidence against it". Whereas what I mean is that one should bet at odds that are tiny or even infinitesimal when dealing with an evidentially unsupported belief in a very large search space. You have no choice but to deal this way with the vast majority of such beliefs if you want your total probabilities to sum to 1.

Michael_Rooney07 April 2007 05:11:15PM0 points [-]

By "suspending judgment" I mean neither accepting a claim as true, nor rejecting it as false. Claims about the probability of a given claim being true, helpful as they may be in many cases, are distinct from the claim itself. So, pdf, when you say "The proper attitude towards the claim "Rooney has string in his pockets" is that it has about an X% chance of being true", where X is unknown, I don't see how this is materially different from saying "I don't know if Rooney has string in his pockets", which is to say that you are (for the moment at least) suspending judgment about whether the claim (call it 'string') is true or false. And where X is estimated (on the basis of some hypothetical evidence) to be (say) .4, what is the proper attitude toward 'string'? Saying "'string' has a 40% chance of being true" doesn't answer the question, it makes a different claim, assigning probability. In such situations, the rational course of action is to suspend judgment about 'string'. You may of course hold beliefs about the probability of 'string' being true and act on those beliefs accordingly (by placing real or hypothetical bets, etc.), but in such cases you're neither accepting nor rejecting 'string'.

Eliezer_Yudkowsky07 April 2007 05:38:29PM0 points [-]

You have no choice but to bet at some odds. Life is about action, action is about expected utility, and expected utility demands that you assign some subjective weighting to outcomes based on how likely they are. Walking down the street, I offer to bet you a million dollars against one dollar that a stranger has string in their pockets. Do you take the bet? Whether you say yes or no, you've just made a statement of probability. The null action is also an action. Refusing to bet is like refusing to allow time to pass.

Nor do I permit probabilities of zero and one. All belief is belief of probability.

Michael_Rooney08 April 2007 12:13:32AM0 points [-]

I have to bet on every possible claim I (or any sentient entity capable of propositional attitudes in the universe) might entertain as a belief? That is highly implausible as a descriptive claim. Consider the claim "Xinwei has string in his pockets" (where Xinwei is a Chinese male I've never met). I have no choice but to assign probability to that claim? And all other claims, from "language is the house of being" to "a proof for Goldbach's conjecture will be found by an unaided human mind"? If Eliezer offers me a million dollars to bet on someone's pocket-contents, then, yes, if the utility is right, I will calculate probabilities, meager though my access to evidence may be. But that is not life. The null action may be an action, but lack of belief is not a belief. "I've never thought about it" is not equivalent to "it's false" or "it's very improbable".

(Did Neanderthals assign probabilities, or was it a module that emerged at about the same time as the FOXP gene? Or did it have to wait until the invention of games of chance in western Europe? Is someone who refuses to bet on anything for religious reasons ipso facto irrational?)

And you don't take the belief "2 + 2 = 4" as having probability of 1? Nor "2 + 2 = 5" as 0?

I'm off, out of ISP range for a day, so I won't reply for a bit. Cheers.

Joe221 February 2009 03:10:20AM0 points [-]

Michael Rooney: I don't think Eliezer is saying that it's invalid to say "I don't know." He's saying it's invalid to have as your position "I should not have a position."

The analogy of betting only means that every action you take will have consequences. For example, the decision not to try to assign a probability to the statement that Xinwei has a string in his pocket will have some butterfly effect. You have recognized this, and have also recognized that you don't care, and have taken the position that it doesn't matter. The key here is that, as you admit, you have taken a position.

DanielLC27 December 2009 07:05:59AM0 points [-]

And now that we know that we're going to be more biased. Why'd you have to say that? </joke>

wedrifid27 December 2009 07:45:22AM0 points [-]

Why'd you have to say that? </joke>

Because knowing about biases can also help people. A cornerstone premise of Eliezer's entire life strategy. </literal answer to joke implying that it is of limited funnyness but without sufficient disapproval for a downvote.>