Статья

Introduction and review

Last month I talked about van der Bergh et al’s work on the precision of sensory evidence, which introduced the idea of a trapped prior. I think this concept has far-reaching implications for the rationalist project as a whole. I want to re-derive it, explain it more intuitively, then talk about why it might be relevant for things like intellectual, political and religious biases.

To review: the brain combines raw experience (eg sensations, memories) with context (eg priors, expectations, other related sensations and memories) to produce perceptions. You don’t notice this process; you are only able to consciously register the final perception, which feels exactly like raw experience.

A typical optical illusion. The top chess set and the bottom chess set are the same color (grayish). But the top appears white and the bottom black because of the context (darker vs. lighter background). You perceive not the raw experience (grayish color) but the final perception modulated by context; to your conscious mind, it just seems like a brute fact that the top is white and the bottom black, and it is hard to convince yourself otherwise.

A typical optical illusion. The top chess set and the bottom chess set are the same color (grayish). But the top appears white and the bottom black because of the context (darker vs. lighter background). You perceive not the raw experience (grayish color) but the final perception modulated by context; to your conscious mind, it just seems like a brute fact that the top is white and the bottom black, and it is hard to convince yourself otherwise.

Or: maybe you feel like you are using a particular context independent channel (eg hearing). Unbeknownst to you, the information in that channel is being context-modulated by the inputs of a different channel (eg vision). You don’t feel like “this is what I’m hearing, but my vision tells me differently, so I’ll compromise”. You feel like “this is exactly what I heard, with my ears, in a way vision didn’t affect at all”.

This is called the McGurk Effect. The man is saying the same syllable each time, but depending on what picture of his mouth moving you see, you hear it differently. Your vision is context-modulating your hearing, but it just sounds like hearing something.

This is called the McGurk Effect. The man is saying the same syllable each time, but depending on what picture of his mouth moving you see, you hear it differently. Your vision is context-modulating your hearing, but it just sounds like hearing something.

The most basic illusion I know of is the Wine Illusion; dye a white wine red, and lots of people will say it tastes like red wine. The raw experience - the taste of the wine itself - is that of a white wine. But the context is that you're drinking a red liquid. Result: it tastes like a red wine.

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/f2f7afaf-af2f-4758-9ee5-9e931f84af93/https3A2F2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com2Fpublic2Fimages2F458e226f-0f24-4814-bfa0-fa05e7fa2af4_259x217.png

The placebo effect is almost equally simple. You're in pain, so your doctor gives you a “painkiller” (unbeknownst to you, it’s really a sugar pill). The raw experience is the nerve sending out just as many pain impulses as before. The context is that you've just taken a pill which a doctor assures you will make you feel better. Result: you feel less pain.

These diagrams cram a lot into the gray box in the middle representing a “weighting algorithm”. Sometimes the algorithm will place almost all its weight on raw experience, and the end result will be raw experience only slightly modulated by context. Other times it will place almost all its weight on context and the end result will barely depend on experience at all. Still other times it will weight them 50-50. The factors at play here are very complicated and I’m hoping you can still find this helpful even when I treat the gray box as, well, a black box.

These diagrams cram a lot into the gray box in the middle representing a “weighting algorithm”. Sometimes the algorithm will place almost all its weight on raw experience, and the end result will be raw experience only slightly modulated by context. Other times it will place almost all its weight on context and the end result will barely depend on experience at all. Still other times it will weight them 50-50. The factors at play here are very complicated and I’m hoping you can still find this helpful even when I treat the gray box as, well, a black box.

The cognitive version of this experience is normal Bayesian reasoning. Suppose you live in an ordinary California suburb and your friend says she saw a coyote on the way to work. You believe her; your raw experience (a friend saying a thing) and your context (coyotes are plentiful in your area) add up to more-likely-than-not. But suppose your friend says she saw a polar bear on the way to work. Now you're doubtful; the raw experience (a friend saying a thing) is the same, but the context (ie the very low prior on polar bears in California) makes it implausible.

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/2c6c7a24-8a0e-41a4-a625-82dfc55bc625/https3A2F2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com2Fpublic2Fimages2Fa05577e7-4e8e-4722-b85b-38422182bf53_259x217.png

Normal Bayesian reasoning slides gradually into confirmation bias. Suppose you are a zealous Democrat. Your friend makes a plausible-sounding argument for a Democratic position. You believe it; your raw experience (an argument that sounds convincing) and your context (the Democrats are great) add up to more-likely-than-not true. But suppose your friend makes a plausible-sounding argument for a Republican position. Now you're doubtful; the raw experience (a friend making an argument with certain inherent plausibility) is the same, but the context (ie your very low prior on the Republicans being right about something) makes it unlikely.

Still, this ought to work eventually. Your friend just has to give you a good enough argument. Each argument will do a little damage to your prior against Republican beliefs. If she can come up with enough good evidence, you have to eventually accept reality, right?

But in fact many political zealots never accept reality. It's not just that they're inherently skeptical of what the other party says. It's that even when something is proven beyond a shadow of a doubt, they still won't believe it. This is where we need to bring in the idea of trapped priors.

Trapped priors: the basic cognitive version

Phobias are a very simple case of trapped priors. They can be more technically defined as a failure of habituation, the fancy word for "learning a previously scary thing isn't scary anymore". There are lots of habituation studies on rats. You ring a bell, then give the rats an electric shock. After you do this enough times, they're scared of the bell - they run and cower as soon as they hear it. Then you switch to ringing the bell and not giving an electric shock. At the beginning, the rats are still scared of the bell. But after a while, they realize the bell can't hurt them anymore. They adjust to treating it just like any other noise; they lose their fear - they habituate.

The same thing happens to humans. Maybe a big dog growled at you when you were really young, and for a while you were scared of dogs. But then you met lots of friendly cute puppies, you realized that most dogs aren't scary, and you came to some reasonable conclusion like "big growly dogs are scary but cute puppies aren't."