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This deck focuses on 6b Problem Solving Decision Biases, giving you a quick way to review the definitions, rules, and examples that matter most for MCAT Psychological Social Foundations.
Study 6b Problem Solving Decision Biases in MCAT Psychological Social Foundations with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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Identify the bias: a person revises an estimate toward an initial number they first saw.
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Anchoring bias. Initial values bias subsequent adjustments.
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This deck focuses on 6b Problem Solving Decision Biases, giving you a quick way to review the definitions, rules, and examples that matter most for MCAT Psychological Social Foundations.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer: Anchoring bias. Initial values bias subsequent adjustments.
Answer: Seeing outcomes as predictable after they have occurred. Memory reconstructs past uncertainty as certainty.
Answer: A quick rule-of-thumb strategy that is efficient but error-prone. Mental shortcuts save time but can lead to systematic errors.
Answer: Overreliance on an initial value and insufficient adjustment from it. First information disproportionately influences subsequent judgments.
Answer: Losses are weighted more heavily than equivalent gains (loss aversion). People feel losses about twice as strongly as gains.
Answer: Trial-and-error is unsystematic; means-end reduces differences via subgoals. Means-end is systematic, breaking problems into manageable steps.
Answer: Ignoring population prevalence when estimating probability. Specific details overshadow general frequency information.
Answer: Tendency to use a familiar strategy even when it is not optimal. Prior successful strategies create inertia, impeding adaptation to new problems requiring alternative approaches.
Answer: After learning outcomes, viewing them as having been predictable. Knowledge of results creates illusion of foresight.
Answer: Ignoring population prevalence when estimating probability. Statistical error that leads to overestimating rare events.
Answer: Belief that independent random events are influenced by recent outcomes. Misunderstanding that each event has independent probability.
Answer: Sunk cost fallacy. Past investment irrationally drives future commitment.
Answer: Overestimating the accuracy of one's knowledge or predictions. People systematically underestimate their uncertainty.
Answer: Ignoring population frequencies when estimating probability. Specific details overshadow general statistical information.
Answer: Algorithm: guaranteed method; heuristic: quick shortcut, not guaranteed. Algorithms follow systematic steps; heuristics use mental shortcuts.
Answer: Overestimating the accuracy of one's knowledge or judgments. Metacognitive error in assessing one's own abilities.
Answer: Overestimating the accuracy of one's judgments or knowledge. Metacognitive error in assessing one's own competence.
Answer: Overestimating the accuracy of one's judgments or knowledge. People think they're more accurate than they actually are.
Answer: Choices change with wording; driven by gain vs loss framing. Risk-seeking for losses, risk-averse for gains.
Answer: Viewing outcomes as predictable after they have occurred. Makes past events seem more predictable than they actually were.
Answer: Belief perseverance. Commitment to disproven beliefs shows cognitive rigidity.
Answer: Losses are weighted more than equivalent gains (loss aversion). People feel losses about twice as strongly as equivalent gains.
Answer: Relying too heavily on an initial value when making estimates. First information disproportionately shapes subsequent judgments.
Answer: Anchoring and adjustment bias. Initial values unduly influence final estimates.
Answer: Attempting multiple solutions until one works, without systematic strategy. This approach tests options randomly or sequentially until success, lacking a structured plan but effective for limited possibilities.
Answer: Inability to see an object being used for a new function. Limits creative problem-solving by restricting perceived uses.
Answer: Representativeness heuristic (base rate neglect). Stereotype fits, so statistical rarity is ignored.
Answer: Availability heuristic. Media coverage makes rare events seem more probable.
Answer: Ignoring prior probabilities (base rates) when evaluating likelihood. Occurs when specific information overshadows general statistics.
Answer: Algorithm guarantees solution; heuristic is faster but error-prone. Algorithms methodically ensure accuracy, whereas heuristics prioritize speed via approximations, risking inaccuracies.
Answer: Relying too heavily on an initial value when making estimates. First information disproportionately influences subsequent judgments.
Answer: A tendency to use previously successful strategies even when inappropriate. Past success creates cognitive rigidity that blocks new approaches.
Answer: Overestimating the accuracy of one's judgments or knowledge. People systematically overrate their abilities and predictions.
Answer: Seeking or interpreting evidence that supports existing beliefs. Leads to ignoring contradictory evidence and cherry-picking data.
Answer: Relying too heavily on an initial value when making estimates. First information disproportionately influences subsequent judgments.
Answer: A step-by-step procedure that guarantees a solution if one exists. Like a recipe, it follows exact steps to reach the answer.
Answer: Losing $100 feels larger (loss aversion). People feel losses about twice as strongly as equivalent gains.
Answer: Overreliance on an initial value when making estimates. First information disproportionately influences judgment.
Answer: Belief that P(A∩B)>P(A), which is impossible. This error defies probability axioms, as joint events cannot have higher likelihood than individual components.
Answer: Confirmation bias. Selective focus on supportive data preserves initial theories, biasing interpretation of new information.
Answer: Relying too heavily on an initial value when making subsequent judgments. Initial information sets a reference point, insufficiently adjusted in subsequent estimates despite irrelevance.
Answer: After outcomes occur, believing one "knew it all along". Retrospective distortion reconstructs past beliefs, exaggerating foreseeability after event knowledge.
Answer: Seeking or interpreting information to support an existing belief. Cherry-picking evidence that confirms what you already think.
Answer: Confirmation bias. Selective attention to confirming evidence while ignoring disconfirming data.
Answer: Relying heavily on an initial value and insufficiently adjusting from it. First information disproportionately influences all subsequent judgments.
Answer: Choices change depending on gain-versus-loss presentation. Same outcomes valued differently based on wording as gains/losses.
Answer: Sunk cost fallacy. Throwing good money after bad due to prior losses.
Answer: Overestimating the accuracy of one's knowledge or judgments. Metacognitive error leads to poor calibration of certainty.
Answer: Choices change depending on whether outcomes are framed as gains or losses. Same outcome valued differently based on gain vs. loss presentation.
Answer: Judging probability by similarity to a prototype or stereotype. Ignores base rates in favor of stereotypical features.
Answer: Representativeness heuristic (base-rate neglect). Ignoring statistical prevalence when judging by similarity.
Answer: Representativeness heuristic (base rate neglect). Stereotypical match ignores statistical base rates.
Answer: Losses are weighted more heavily than equivalent gains. Psychological pain of loss exceeds pleasure of equal gain.
Answer: Judging likelihood by how easily examples come to mind. Recent or vivid memories bias probability estimates.
Answer: Losses are weighted more heavily than equivalent gains. Psychological asymmetry makes losses more impactful than gains.
Answer: Judging likelihood by how easily examples come to mind. Memory salience influences probability assessments, often overemphasizing vivid or recent events over statistical data.
Answer: Frequency illusion (Baader–Meinhof phenomenon). Heightened awareness creates illusion of increased frequency.
Answer: Representativeness heuristic. Stereotypes override statistical base rates in judgment.
Answer: A step-by-step procedure that guarantees a solution when followed. Like a recipe, it provides exact steps that always work if followed correctly.
Answer: Choices change depending on whether outcomes are presented as gains or losses. Same information yields different decisions based on wording.
Answer: Inability to see an object's uses beyond its typical function. Cognitive bias that limits creative problem-solving approaches.
Answer: After outcomes, perceiving events as having been predictable. Retrospective distortion makes outcomes seem inevitable.
Answer: A quick rule-of-thumb strategy that is efficient but error-prone. Mental shortcuts that save time but may lead to systematic errors.
Answer: Tendency to prefer avoiding losses over acquiring equivalent gains. Psychological weighting favors loss prevention, driving conservative choices to mitigate perceived greater negative impact.
Answer: Maintaining a belief despite clear contradictory evidence. Cognitive dissonance resistance preserves existing views.
Answer: Seeking or interpreting evidence to support an existing belief. Cognitive selectivity favors information aligning with preconceptions, ignoring contradictory evidence in evaluations.
Answer: A fast rule-of-thumb strategy that may not always be correct. Mental shortcuts that save time but can lead to errors.
Answer: Relying on an initial value and insufficiently adjusting. First information disproportionately influences final estimates.
Answer: A sudden realization of a solution after restructuring the problem. The "aha!" moment when pieces suddenly fit together.
Answer: Seeing past events as having been predictable after they occur. "I knew it all along" feeling after learning outcomes.
Answer: Hindsight bias. Outcome knowledge creates false sense of predictability.
Answer: Seeking or interpreting evidence that supports existing beliefs. Leads to ignoring disconfirming evidence systematically.
Answer: Sunk cost fallacy. The 5000 is gone regardless; only future costs/benefits matter.
Answer: A step-by-step procedure that guarantees a solution if followed correctly. Systematic approach ensures completeness but may be time-consuming.
Answer: Maintaining a belief despite disconfirming evidence. Cognitive dissonance resistance protects self-concept.
Answer: Decisions change depending on whether options are presented as gains or losses. Wording influences risk preferences in mathematically identical choices.
Answer: Losses loom larger than gains; people are more sensitive to losses. Asymmetric valuation in prospect theory heightens sensitivity to potential losses compared to equivalent gains.
Answer: Gambler's fallacy. Misunderstanding independence in random sequences.
Answer: Failure to see an object can be used for a novel function. This cognitive barrier restricts innovation by limiting perceptions of objects to their conventional purposes.
Answer: A fast rule-of-thumb strategy that may be error-prone. Mental shortcuts that sacrifice accuracy for speed and efficiency.
Answer: Confirmation bias. Selective attention maintains existing beliefs.
Answer: Hindsight bias. Retrospectively overestimating predictability of past events.
Answer: Judging probability by similarity to a prototype, often ignoring base rates. Similarity to stereotypes guides judgments, frequently disregarding actual prevalence or base rate information.
Answer: Hindsight bias. Retroactively overestimating your ability to predict the outcome.
Answer: Endowment effect. Ownership increases perceived value through loss aversion.
Answer: Failure to see an object's possible uses beyond its typical function. Limits creative problem-solving by constraining perceived options.
Answer: Availability heuristic. Recent instances heighten perceived prevalence, distorting risk assessments via memory accessibility.
Answer: Belief perseverance. Clinging to initial diagnosis despite contradictory evidence.
Answer: A sudden realization of a solution after restructuring the problem. Often occurs when viewing the problem from a new perspective.
Answer: Maintaining a belief despite evidence that contradicts it. Cognitive dissonance drives resistance to changing views.
Answer: Maintaining a belief despite evidence that disconfirms it. Clinging to disproven beliefs because changing is psychologically costly.
Answer: Ignoring prior probabilities when estimating likelihoods. Specific details overshadow general statistical data, leading to flawed probability estimations in decision-making.
Answer: Judging P(A∩B) as more likely than P(A) alone. Violates basic probability: specifics can't be more likely than general.
Answer: Availability heuristic. Memorable cases distort probability estimates.
Answer: Seeking or interpreting information to support existing beliefs. Selective attention reinforces preconceptions.
Answer: Tendency to use previously successful strategies even when inappropriate. Past solutions create cognitive inertia in new contexts.
Answer: Choices change depending on whether outcomes are presented as gains or losses. Wording influences risk perception and decision preferences.
Answer: Hindsight bias. Retrospectively feeling outcomes were predictable.
Answer: Losses are weighted more heavily than equivalent gains. People feel losses about twice as strongly as equivalent gains.
Answer: Belief that P(A∩B)>P(A) or P(B). Violates basic probability: conjunctions can't exceed single events.