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Both distort retrospective judgment after the result is known, but they target different questions. Hindsight bias makes the result look more predictable in retrospect; outcome bias makes the decision itself look better or worse because the result was good or bad.
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Both let a known result reshape a retrospective judgment, but the target is different. Outcome bias changes how good or bad a decision process looks; moral luck changes blame, praise, punishment, or moral responsibility while also depending on the actor's intentions, beliefs, causal role, and controllable risk.
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Both can involve resistance to evidence, but they are not the same construct. Confirmation bias is a broad family of search, testing, interpretation, and memory tendencies shaped by existing beliefs; the backfire effect is the narrower outcome in which a correction makes belief in the targeted false claim stronger.
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Both happen in the context of correcting misinformation, but they describe different outcomes. Continued influence means the correction helps yet some influence of the old information remains. Backfire is the narrower case where the correction makes belief in the targeted false claim stronger.
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Both can distort AI-assisted decisions, but the error is different. Anchoring pulls a judgment toward a starting value; automation bias is inappropriate reliance on automated advice or cues.
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Both can make familiar information influential, but they affect different judgments. Availability uses accessible examples as a cue for frequency or probability; illusory truth is the tendency for repeated statements to be judged as more true than comparable new statements.
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Confirmation Bias is a broad umbrella for belief-consistent search and interpretation. Congruence Bias is narrower: it concerns choosing a hypothesis test that fits the favored explanation but does not discriminate well among competing explanations.
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Both are often discussed around expertise, but they concern different judgments. Curse of Knowledge is about estimating another person's knowledge after you already know something. Dunning–Kruger research is about calibration between a person's own performance and their self-assessment.
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Both can make the past look better than the present, but they operate at different levels. Declinism is a broad label for judging a domain, society, institution, or era as having declined. Rosy Retrospection is a narrower event-memory pattern in which a specific past experience is remembered more positively than it was experienced at the time.
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Both can change choices without changing the core product, but they work through different choice structures. A decoy changes the comparison between options by adding another alternative; a default changes what happens when the person does not actively choose something else.
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Both can make one option unusually sticky, but they are not the same. A default is the option or outcome that applies if no active choice is made. Status quo bias is the broader tendency to give extra weight to the option that is already current or in place.
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Both show that presentation can shape judgment, but the mechanism being tested is different. Framing changes how equivalent information or outcomes are described; anchoring tests how a starting numerical value pulls a later estimate toward it.
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Both can make stopping, switching or giving something up feel difficult, but they ask different questions. Loss aversion concerns how prospective losses are valued relative to comparable gains around a reference point. Sunk cost effect concerns whether irrecoverable past investment is influencing the current choice.
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The two ideas overlap, but they answer different questions. Sunk cost effect asks whether irrecoverable past investment is influencing the current choice; escalation of commitment describes a broader pattern of persisting or investing more after setbacks.
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Both can make a metric misleading, but the failure is different. Surrogation happens when people start treating a performance measure as though it were the goal or construct itself. Systematic bias is a consistent or predictable deviation in a measurement, estimate, sample, or process relative to a target or reference.
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