Berkson’s Paradox
A statistical phenomenon where two independent events appear to be correlated due to a selection bias.
A statistical phenomenon where two independent events appear to be correlated due to a selection bias.
The tendency for individuals to present themselves in a favorable light by overreporting good behavior and underreporting bad behavior in surveys or research.
A type of bias that occurs when the observer's expectations or beliefs influence their interpretation of what they are observing, including experimental outcomes.
A cognitive bias that occurs when conclusions are drawn from a non-representative sample, focusing only on successful cases and ignoring failures.
A tendency for respondents to answer questions in a manner that is not truthful or accurate, often influenced by social desirability or survey design.
A bias that occurs when the sample chosen for a study or survey is not representative of the population being studied, affecting the validity of the results.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
A cognitive bias where people perceive past events as having been more predictable than they actually were.
A cognitive bias where people see patterns in random data.