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Flow chart of cognitive biases (breakdown-notes.com)
360 points by cher14 10 months ago | hide | past | web | favorite | 29 comments

Much better than OP

I'm so glad that link got posted. That's my Medium publication, but the author, Buster Benson, has been doing amazing work in the space.

A lot of that work turned toward arguing effectively and I think that's an important topic in our divisive times.

Buster has a Patreon for the development of the book that is really good (he's very active and responsive): https://www.patreon.com/busterbenson

COGNITIVE BIAS CODEX + definitions (9MB):


The decision points have bad names. How can "When it was exaclty?" or "how satisfying it was ?" have a "yes" "no" answer?

I thought it was asking "are you trying to determine 'When it was exactly?' and 'Are you trying to remember how satisfying it was?'" which made sense.

That's not it. It's just garbled. "availability heuristic" means that recent or related-to-current-situation events are easier to remember than other, so they bias your mental estimate of "average" or "sum".

No, the GP has the right idea. The availability heuristic also causes emotionally-potent events to seem more recent than they were, because they're "available." Because recent events are easier to remember, our brains assume incorrectly that easier-to-remember events must be more recent. When, really, there are other reasons an event can be easier to remember.

This is the logic behind the "climate of fear" the media creates—every time a tragedy is made into a huge news story, it becomes semi-permanently available as an exemplar to your brain of that kind of thing happening; and then, when you try to figure out when the last time that kind of thing happened was (which is, in turn, a heuristic people tend to use for how often something happens) the highly-available exemplar in your mind makes you still feel like it "just happened" even if it was years ago.

(Or, to put that another way: everyone in America who was alive when 9/11 happened, still thinks of terrorist attacks against the US as happening far more often than they do; everyone in America who was born after 9/11 has a better-calibrated estimate. The scope of the tragedy—and especially of the reporting of the tragedy—caused it to be "too available" to people, permanently biasing their time-scale and frequency estimates.)

This is really good, you should make a mobile version so I can use this to gaslight my coworkers. :p

That reminds me of the cognitive bias of trusting a behavioral flowchart from a stranger on the internet. Or the cognitive bias of having to weaponize everything that's even marginally psychological. But hey, I'm not here to develop on all these contradictions.

I'm already gaslit just trying to use it on mobile, but yeah it looks good.

Is there a way to print this out?

By using the export menu you should be able to print it to pdf, though that is not the easiest. To help out: you can also download it as pdf via google drive: https://drive.google.com/file/d/1dK-B5VIY9vmypB_eZsHB2Kso1zp...

It is a pdf, since it is rather big chart and as off yet I failed to make a readable image from it.

I have been trying to "export" but can't quite get the sizing/location right.

A sibling link (https://news.ycombinator.com/item?id=16875793) has a poster (not the same map though)

For those interested, I built small project https://dailycognitivebias.com which basically send you every day a random cognitive bias to your inbox.

That's creepy good. It somehow usually sends me biases that have affected me that same day.

It is unfortunate that the URL that loads after following the link does not actually direct to this particular flowchart. Makes sharing difficult.


Here's the URL prior to redirection to private user space.


I can't help but wonder if the person that made this is biased towards finding bias.

Also check out:


Is it even possible to be completely unbiased?

Who wants to build an ML cognitive debiasing machine with me? I'm serious!

Tell me more

A machine learning system that can (1) parse real time human spoken language and reliably detect any hint of bias which can then (2) output an unbiased version of that input.

Some use cases would be to deploy this in government (e.g. courts, police force etc) and for the betterment of humanity in making humans aware of their unconscious biases in decision that have far reaching consequences if left unchecked.

Ads are annoying on mobile. Sigh

these biases are what makes us "human"

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