# How we know what isn't so, by Thomas Gilovich

DevFeed: [How we know what isn't so, by Thomas Gilovich](<https://devfeed.tech/articles/how-we-know-what-isn-t-so-by-thomas-gilovich-35257.md>)

Original publisher: [Read original article](<https://darkcoding.net/behaviour/how-we-know-what-isnt-so-by-thomas-gilovich/>)

Author: Graham King

Published: 2009-11-27T06:27:59Z

Content type: article

Language: en

Sources: [Graham King](<https://devfeed.tech/sources/graham-king.md>)

Topics: [Math and Logic](<https://devfeed.tech/topics/math-and-logic.md>), [Mathematics](<https://devfeed.tech/topics/mathematics.md>)

Tags: [behaviour](<https://devfeed.tech/tags/behaviour.md>), [book](<https://devfeed.tech/tags/book.md>), [example](<https://devfeed.tech/tags/example.md>), [influence](<https://devfeed.tech/tags/influence.md>), [mathematics](<https://devfeed.tech/tags/mathematics.md>), [patterns](<https://devfeed.tech/tags/patterns.md>), [psychology](<https://devfeed.tech/tags/psychology.md>), [random](<https://devfeed.tech/tags/random.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [sequences](<https://devfeed.tech/tags/sequences.md>), [socialpsychology](<https://devfeed.tech/tags/socialpsychology.md>)

## AI overview

Notes on Thomas Gilovich's book How We Know What Isn't So, explaining common reasoning errors and techniques for avoiding them. The article discusses how people misinterpret random data, perceive patterns where none exist, and apply heuristics such as availability and representativeness.

## Source excerpt

"Uncover the biases that shape our beliefs"