AP Psychology – Thinking, Problem Solving, and Decision-Making (Heuristics, Biases)

AP Psychology – Thinking, Problem Solving, and Decision?Making (Heuristics, Biases)

AP Psychology Study Guide: Thinking, Problem Solving, and Decision-Making (Heuristics & Biases)

What This Is

This topic covers how we think, solve problems, and make decisions—often using mental shortcuts (heuristics) that can lead to errors (biases). The AP exam tests your ability to recognize these shortcuts and biases in real-world scenarios, such as why people fear flying more than driving (even though driving is statistically riskier) or why eyewitness testimony is unreliable. A famous example is Kahneman & Tversky’s "Linda Problem"—people judge Linda as more likely to be a feminist bank teller than just a bank teller, even though the first option is statistically impossible (a conjunction fallacy).

Key Terms & Concepts

• Cognition: Mental processes involved in acquiring, storing, and using knowledge (thinking, memory, language, problem-solving).
• Concept: A mental grouping of similar objects, events, or ideas (e.g., "dog" includes golden retrievers, poodles, etc.).
• Prototype: The best example of a category (e.g., when thinking of "bird," most people picture a robin, not a penguin).
• Algorithm: A step-by-step procedure that guarantees a correct solution (e.g., following a recipe exactly).
• Heuristic: A mental shortcut that speeds up decision-making but can lead to errors (e.g., assuming a tall person is good at basketball).
• Availability Heuristic: Judging likelihood based on how easily examples come to mind (e.g., fearing shark attacks after seeing news reports).
• Representativeness Heuristic: Judging likelihood based on how well something matches a prototype (e.g., assuming a quiet person is a librarian, not a salesperson).
• Insight: A sudden "Aha!" moment when a solution appears (studied by Wolfgang Köhler in chimpanzees).
• Confirmation Bias: Favoring information that confirms our beliefs and ignoring contradictory evidence (e.g., only reading news that aligns with your political views).
• Fixation: Inability to see a problem from a new perspective (e.g., mental set—using the same strategy even when it doesn’t work).
• Functional Fixedness: Seeing objects only in their usual function (e.g., not realizing a coin can be used as a screwdriver).
• Overconfidence: Overestimating the accuracy of our beliefs and judgments (e.g., students predicting they’ll finish an essay in 2 hours when it takes 5).
• Framing Effect: How a question is worded affects decisions (e.g., "90% survival rate" vs. "10% mortality rate" for the same surgery).
• Belief Perseverance: Clinging to beliefs even after evidence disproves them (e.g., refusing to accept that vaccines don’t cause autism despite scientific consensus).

Step-by-Step: How to Analyze a Decision-Making Scenario

1. Identify the decision or judgment – What is the person trying to decide or predict?
2. Look for mental shortcuts – Is the person using an availability heuristic (relying on recent examples) or representativeness heuristic (matching to a stereotype)?
3. Check for biases – Is there confirmation bias (ignoring opposing evidence), overconfidence, or framing effects (wording influencing choice)?
4. Consider alternative explanations – Could fixation or functional fixedness be limiting their thinking?
5. Predict the outcome – Will the heuristic/biases lead to a correct or incorrect decision?

Example: A student refuses to study for a test because they "just know" they’ll do well. - Step 1: Decision = whether to study. - Step 2: Heuristic = overconfidence (assuming success without evidence). - Step 3: Bias = belief perseverance (ignoring past poor test scores). - Step 4: Alternative = confirmation bias (only remembering times they guessed correctly). - Step 5: Outcome = Likely poor performance due to overconfidence.

Common Mistakes

• Mistake: Confusing availability heuristic with representativeness heuristic.

• Correction: Availability = how easily examples come to mind (e.g., fearing planes after a crash). Representativeness = how well something matches a stereotype (e.g., assuming a quiet person is a librarian).

• Mistake: Thinking algorithms are always better than heuristics.

• Correction: Algorithms guarantee correctness but are slow; heuristics are fast but error-prone. Use algorithms for math problems, heuristics for quick decisions (e.g., choosing a restaurant).

• Mistake: Assuming insight is the only way to solve problems.

• Correction: Insight is sudden, but most problems are solved through trial and error or algorithms.

• Mistake: Ignoring framing effects in real-world decisions.

• Correction: Wording matters! "75% lean" meat sells better than "25% fat," even though they’re the same.

• Mistake: Overlooking belief perseverance in debates.

• Correction: People cling to beliefs even when proven wrong (e.g., flat-Earthers ignoring photos from space).

AP Exam Insights

• Frequently tested heuristics: Availability (e.g., fear of flying after a crash) and representativeness (e.g., stereotyping).
• Common FRQ prompts:
• "Explain how the availability heuristic could lead someone to overestimate the likelihood of a rare event."
• "Describe how confirmation bias might affect a person’s political beliefs."
• Tricky distinctions:
• Algorithm vs. Heuristic – Algorithms are step-by-step; heuristics are shortcuts.
• Fixation vs. Functional Fixedness – Fixation = stuck on a strategy; functional fixedness = stuck on an object’s use.
• Multiple-choice traps:
• Questions that describe a bias but ask for the type of heuristic (e.g., "After seeing news reports of a plane crash, Maria refuses to fly" = availability heuristic).
• Confusing belief perseverance (ignoring evidence) with confirmation bias (seeking evidence).

Quick Check Questions

1. After watching a documentary about lottery winners, Jake buys 10 lottery tickets, believing he’s more likely to win. This is an example of: a) Representativeness heuristic b) Availability heuristic c) Confirmation bias d) Functional fixedness Answer: b) Availability heuristic – Jake is judging likelihood based on how easily examples come to mind.

2. A doctor assumes a patient has the flu because they have a fever, even though other illnesses cause fevers too. This is an example of: a) Overconfidence b) Framing effect c) Representativeness heuristic d) Belief perseverance Answer: c) Representativeness heuristic – The doctor is matching symptoms to a prototype (the flu).

3. FRQ Practice: Explain how the framing effect could influence a person’s decision to undergo a risky surgery. Provide one example of how the same information could be framed differently. Sample Answer: The framing effect occurs when the wording of a question influences decisions. For example, a surgery could be described as having a "90% survival rate" (which sounds positive) or a "10% mortality rate" (which sounds riskier). People are more likely to choose the surgery when it’s framed positively (90% survival).

Last-Minute Cram Sheet

1. Heuristics = mental shortcuts (fast but error-prone).
2. Availability heuristic = judging likelihood based on how easily examples come to mind (e.g., fearing sharks after Jaws).
3. Representativeness heuristic = judging likelihood based on stereotypes (e.g., assuming a quiet person is a librarian).
4. Confirmation bias = seeking info that confirms beliefs, ignoring contradictions.
5. Belief perseverance = clinging to beliefs even after they’re disproven.
6. Framing effect = wording changes decisions (e.g., "90% survival" vs. "10% death").
7. Overconfidence = overestimating accuracy of our judgments.
8. Functional fixedness = seeing objects only in their usual use (e.g., not using a coin as a screwdriver).
9. Insight = sudden "Aha!" moment (studied by Köhler in chimps).
10. Don’t confuse algorithms (step-by-step) with heuristics (shortcuts)!