#cheatsheet #statistics #bias #cognitive-bias #statistical-bias Created at 280223 # [Anonymous feedback](https://www.admonymous.co/louis030195) # [[Epistemic status]] #shower-thought Last modified date: 280223 Commit: 0 # Related - [[Philosophy/Rationality/Models/Bias]] - [[Computing/Intelligence/Alignment/Cognitive bias learned by AI]] - [[Philosophy/Rationality/Models/Cognitive biases]] - [[Readwise/Articles/Robin Hanson - Overcoming Bias Standard Biases]] - [[Philosophy/Rationality/Representativeness heuristic]] - [[Computing/Intelligence/Alignment/Availability bias is strong in AI alignment research]] # TODO > [!TODO] TODO # Cognitive biases vs statistical biases | Type of Bias | Definition | Example | |-----------------|--------------------------------------------------------------------|----------------------------------------------------------------------------------------------| | Cognitive Bias | Errors in thinking that arise from cognitive processes | [[Confirmation bias]]: Tendency to seek out information that confirms existing beliefs | | | | [[Availability bias\|Availability heuristic]]: Overestimation of the importance of readily available information | | | | [[Anchoring Bias]]: Tendency to rely too heavily on the first piece of information encountered when making decisions | | | | [[Bandwagon Effect]]: Tendency to do or believe things because many other people do or believe the same things | | | | [[Framing Effect]]: The way information is presented can influence decision making | | | | [[Hindsight Bias]]: The tendency to believe, after an event has occurred, that one would have predicted or expected the outcome | | Statistical Bias| Errors that arise from data collection, analysis, or interpretation | [[Selection bias]]: Sample being analyzed is not representative of the larger population | | | | [[Measurement bias]]: Flawed data collection or measurement methods | | | | [[Philosophy/Rationality/Models/Survivorship Bias\|Survivorship Bias]]: Drawing conclusions based only on the data that survives while ignoring the data that does not survive or is missing | | | | [[Non-Response Bias]]: Occurs when some individuals in the sample do not respond to the survey, leading to a biased sample | | | | [[Sampling Bias]]: Occurs when the sample is not representative of the population it is intended to represent | | | | [[Publication Bias]]: Occurs when studies with significant or "interesting" results are more likely to be published than studies with no significant results |