Selection Bias
A concept in statistics and research methodology referring to the distortion that arises when the method of sample selection is non-random or exhibits a systematic tendency, causing the sample to be unrepresentative of the population and leading to skewed analytical conclusions.
Timeline (last 90 days)
METR observed a sharp rise in the number of developers who chose not to participate in the study, because they were unwilling to work without AI; 30% to 50% of participants said they would deliberately not submit certain tasks to avoid completing them without AI.
Selection bias refers to estimates systematically deviating from the true population value because the sample was not randomly drawn; it cannot be eliminated by increasing sample size and can only be mitigated by improving recruitment design or using methods such as instrumental variables.
This study is a working paper that has not yet undergone peer review, the data comes from the business analytics company Jellyfish, there may be selection bias from platform users, and the authors emphasize that these are short-term effects and long-term results may differ.
'In half of cases the outcome is never known' is referred to in the machine learning field as selection bias or survivorship bias.
All Facts (4)
METR observed a sharp rise in the number of developers who chose not to participate in the study, because they were unwilling to work without AI; 30% to 50% of participants said they would deliberately not submit certain tasks to avoid completing them without AI.
50%UnverifiedSelection bias refers to estimates systematically deviating from the true population value because the sample was not randomly drawn; it cannot be eliminated by increasing sample size and can only be mitigated by improving recruitment design or using methods such as instrumental variables.
50%UnverifiedThis study is a working paper that has not yet undergone peer review, the data comes from the business analytics company Jellyfish, there may be selection bias from platform users, and the authors emphasize that these are short-term effects and long-term results may differ.
50%Unverified'In half of cases the outcome is never known' is referred to in the machine learning field as selection bias or survivorship bias.
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