Problem Solving, Decision-Making, and Biases (6B) - MCAT Psychological and Social Foundations
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What is functional fixedness in problem solving?
What is functional fixedness in problem solving?
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Inability to see alternative uses for an object. Fixating on typical functions prevents creative problem-solving.
Inability to see alternative uses for an object. Fixating on typical functions prevents creative problem-solving.
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Identify the bias: Persisting with a failing plan because time and money were already spent.
Identify the bias: Persisting with a failing plan because time and money were already spent.
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Sunk cost fallacy. Irrecoverable past investments wrongly justify continued commitment.
Sunk cost fallacy. Irrecoverable past investments wrongly justify continued commitment.
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What is insight in problem solving, and how does it typically feel subjectively?
What is insight in problem solving, and how does it typically feel subjectively?
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Sudden realization of a solution; an “aha” experience. Often occurs after incubation when conscious effort stops.
Sudden realization of a solution; an “aha” experience. Often occurs after incubation when conscious effort stops.
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What is functional fixedness in problem solving?
What is functional fixedness in problem solving?
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Inability to see an object being used for a new function. Limits creative problem-solving by restricting perceived uses.
Inability to see an object being used for a new function. Limits creative problem-solving by restricting perceived uses.
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What is the sunk cost fallacy in decision-making?
What is the sunk cost fallacy in decision-making?
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Continuing due to past investment rather than future benefit. Irrational because past costs cannot be recovered.
Continuing due to past investment rather than future benefit. Irrational because past costs cannot be recovered.
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What is confirmation bias when evaluating evidence for a belief or hypothesis?
What is confirmation bias when evaluating evidence for a belief or hypothesis?
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Seeking or interpreting evidence that supports existing beliefs. Leads to ignoring disconfirming evidence systematically.
Seeking or interpreting evidence that supports existing beliefs. Leads to ignoring disconfirming evidence systematically.
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What is prospect theory’s core claim about losses versus gains of equal magnitude?
What is prospect theory’s core claim about losses versus gains of equal magnitude?
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Losses are weighted more heavily than equivalent gains. Psychological pain of loss exceeds pleasure of equal gain.
Losses are weighted more heavily than equivalent gains. Psychological pain of loss exceeds pleasure of equal gain.
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What is belief perseverance after disconfirming evidence is presented?
What is belief perseverance after disconfirming evidence is presented?
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Maintaining a belief despite evidence that contradicts it. Cognitive dissonance drives resistance to changing views.
Maintaining a belief despite evidence that contradicts it. Cognitive dissonance drives resistance to changing views.
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What is overconfidence bias in judgments about one’s own accuracy or ability?
What is overconfidence bias in judgments about one’s own accuracy or ability?
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Overestimating the correctness of one’s beliefs or predictions. Metacognitive failure in assessing one's own knowledge limits.
Overestimating the correctness of one’s beliefs or predictions. Metacognitive failure in assessing one's own knowledge limits.
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What is the representativeness heuristic in decision-making?
What is the representativeness heuristic in decision-making?
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Judging probability by similarity to a prototype or stereotype. Ignores base rates in favor of stereotypical features.
Judging probability by similarity to a prototype or stereotype. Ignores base rates in favor of stereotypical features.
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What is a heuristic in problem solving, and what is its main trade-off versus an algorithm?
What is a heuristic in problem solving, and what is its main trade-off versus an algorithm?
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A mental shortcut; faster but more error-prone than algorithms. Trades accuracy for speed in reaching solutions.
A mental shortcut; faster but more error-prone than algorithms. Trades accuracy for speed in reaching solutions.
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What is the framing effect, and what aspect of presentation drives it?
What is the framing effect, and what aspect of presentation drives it?
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Choices change with wording; driven by gain vs loss framing. Risk-seeking for losses, risk-averse for gains.
Choices change with wording; driven by gain vs loss framing. Risk-seeking for losses, risk-averse for gains.
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What is the gambler’s fallacy when judging random sequences?
What is the gambler’s fallacy when judging random sequences?
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Belief that past random events make opposite outcomes more likely. Misunderstands independence of random events.
Belief that past random events make opposite outcomes more likely. Misunderstands independence of random events.
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Identify the bias: “This plane crash seems common because I saw it on the news all week.”
Identify the bias: “This plane crash seems common because I saw it on the news all week.”
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Availability heuristic. Media coverage makes rare events seem more probable.
Availability heuristic. Media coverage makes rare events seem more probable.
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Identify the bias: “She is quiet, so she is more likely a librarian than a salesperson.”
Identify the bias: “She is quiet, so she is more likely a librarian than a salesperson.”
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Representativeness heuristic. Stereotypes override statistical base rates.
Representativeness heuristic. Stereotypes override statistical base rates.
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Identify the bias: “I already spent $200, so I must keep going even if it will not help.”
Identify the bias: “I already spent $200, so I must keep going even if it will not help.”
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Sunk cost fallacy. Past investment wrongly justifies future spending.
Sunk cost fallacy. Past investment wrongly justifies future spending.
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Identify the bias: “I read only articles supporting my view and ignore opposing evidence.”
Identify the bias: “I read only articles supporting my view and ignore opposing evidence.”
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Confirmation bias. Selective attention maintains existing beliefs.
Confirmation bias. Selective attention maintains existing beliefs.
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What is mental set in problem solving?
What is mental set in problem solving?
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Tendency to use previously successful strategies even when inappropriate. Past success creates cognitive rigidity in new situations.
Tendency to use previously successful strategies even when inappropriate. Past success creates cognitive rigidity in new situations.
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What is anchoring bias in judgment and decision-making?
What is anchoring bias in judgment and decision-making?
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Overreliance on an initial value when making estimates. First information disproportionately influences subsequent judgments.
Overreliance on an initial value when making estimates. First information disproportionately influences subsequent judgments.
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What is the availability heuristic in decision-making?
What is the availability heuristic in decision-making?
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Judging likelihood by how easily examples come to mind. Recent or vivid memories bias probability estimates.
Judging likelihood by how easily examples come to mind. Recent or vivid memories bias probability estimates.
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What is functional fixedness?
What is functional fixedness?
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Failure to see an object’s possible uses beyond its typical function. Limits creative problem-solving by constraining perceived options.
Failure to see an object’s possible uses beyond its typical function. Limits creative problem-solving by constraining perceived options.
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What is loss aversion in prospect theory?
What is loss aversion in prospect theory?
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Losses are weighted more strongly than equivalent gains. Psychological pain of losing exceeds pleasure of gaining.
Losses are weighted more strongly than equivalent gains. Psychological pain of losing exceeds pleasure of gaining.
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What is the difference between an algorithm and a heuristic in problem solving?
What is the difference between an algorithm and a heuristic in problem solving?
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Algorithm: guaranteed method; heuristic: quick shortcut, not guaranteed. Algorithms follow systematic steps; heuristics use mental shortcuts.
Algorithm: guaranteed method; heuristic: quick shortcut, not guaranteed. Algorithms follow systematic steps; heuristics use mental shortcuts.
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What is the definition of a mental set in problem solving?
What is the definition of a mental set in problem solving?
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Tendency to use a familiar strategy even when it is not optimal. Past successful approaches can create cognitive rigidity.
Tendency to use a familiar strategy even when it is not optimal. Past successful approaches can create cognitive rigidity.
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Identify the bias: Concluding a quiet person is a librarian despite low librarian prevalence.
Identify the bias: Concluding a quiet person is a librarian despite low librarian prevalence.
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Representativeness heuristic (base rate neglect). Stereotypical match ignores statistical base rates.
Representativeness heuristic (base rate neglect). Stereotypical match ignores statistical base rates.
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Identify the bias: Continuing a failing project because time and money were already spent.
Identify the bias: Continuing a failing project because time and money were already spent.
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Sunk cost fallacy. Past investments wrongly justify continued commitment.
Sunk cost fallacy. Past investments wrongly justify continued commitment.
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What is the gambler’s fallacy?
What is the gambler’s fallacy?
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Belief that past random outcomes change future independent probabilities. Misunderstanding independence in random sequences.
Belief that past random outcomes change future independent probabilities. Misunderstanding independence in random sequences.
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What is the definition of the availability heuristic in decision-making?
What is the definition of the availability heuristic in decision-making?
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Judging likelihood by how easily examples come to mind. Recent or vivid memories bias probability estimates.
Judging likelihood by how easily examples come to mind. Recent or vivid memories bias probability estimates.
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What is the definition of the representativeness heuristic?
What is the definition of the representativeness heuristic?
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Judging probability by similarity to a prototype, ignoring base rates. Stereotypical features override statistical probabilities.
Judging probability by similarity to a prototype, ignoring base rates. Stereotypical features override statistical probabilities.
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What is base rate neglect?
What is base rate neglect?
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Ignoring population prevalence when estimating probability. Specific case details overshadow general frequency data.
Ignoring population prevalence when estimating probability. Specific case details overshadow general frequency data.
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