Cognitive Psychology: Heuristics and Biases

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Questions and Answers

What is the primary distinction between a heuristic and an algorithm?

  • Heuristics rely on a complex analysis, while algorithms rely on simple rules.
  • Algorithms are step-by-step procedures guaranteeing a correct solution, while heuristics are shortcuts that may not always be accurate. (correct)
  • Heuristics are exhaustive, while algorithms are shortcuts.
  • Algorithms are used in natural environments, while heuristics are used in formal settings.

How does the concept of 'System 1' relate to heuristics?

  • System 1 is a slow, deliberate process for correcting heuristic errors.
  • System 1 is associated with heuristic decision-making processes. (correct)
  • System 1 is a random process that produces unsystematic errors.
  • System 1 is a sophisticated computational process that always follows set rules.

In the card selection task, what is the logical explanation for why the correct cards must be selected?

  • To verify the statement by confirming all possible pairs.
  • To seek evidence that confirms a social rule.
  • To look for exceptions to prove the statement was correct.
  • To attempt to falsify a conditional rule and its counterexample. (correct)

What did Cosmides and Tooby's research on cheater-detection modules suggest about human reasoning?

<p>Human reasoning involves a specific adaptation for social interactions. (C)</p> Signup and view all the answers

In the context of the plane armor example, what critical data was omitted?

<p>Data about the planes that were damaged and did not return. (C)</p> Signup and view all the answers

What is the main mistake in analyzing only the returned planes when designing protection?

<p>It suffers from selection bias by ignoring the most critical data. (D)</p> Signup and view all the answers

What was the consequence of the U.S. military's initial analysis of plane damage prior to Wald's insight?

<p>They would've focused on reinforcing areas that were actually survivable with damage instead of the most vulnerable parts. (D)</p> Signup and view all the answers

How is the card selection exercise similar to the plane reinforcement example?

<p>Both involve identifying missing data essential for a valid decision. (B)</p> Signup and view all the answers

Which of the following best describes the sunk cost fallacy?

<p>Making a choice based on past efforts, not future outcomes. (D)</p> Signup and view all the answers

What is the key finding regarding 'realistic' versus 'best case' scenario predictions in the context of planning tasks?

<p>There was little difference between the 'realistic' and 'best case' estimates, often leading to underestimation of time. (C)</p> Signup and view all the answers

What does the planning fallacy primarily refer to?

<p>The tendency to underestimate the duration needed to complete most tasks. (C)</p> Signup and view all the answers

What is the primary issue with only observing the success stories of college dropouts when evaluating the decision to drop out?

<p>It ignores the vast number of dropouts who do not achieve the same success, creating survivorship bias. (D)</p> Signup and view all the answers

Which of these is NOT a characteristic of a 'maximizer' decision-maker?

<p>They tend to be more satisfied with their choices. (C)</p> Signup and view all the answers

How does the 'default effect' influence decision-making?

<p>It increases the chance that a pre-selected option will be chosen. (B)</p> Signup and view all the answers

What is the central purpose of a 'premortem' as an antidote to the planning fallacy?

<p>To list all factors that could prevent you from meeting the schedule, allowing for better estimation. (C)</p> Signup and view all the answers

Which of the following scenarios best exemplifies the 'anchoring effect'?

<p>A car salesman starting with a very high asking price to influence the final sale price. (A)</p> Signup and view all the answers

Why do people often overestimate the probability of deaths caused by unusual events, such as nuclear disasters?

<p>Because these events often have very few, but very salient examples in the news, which influence the availability heuristic. (D)</p> Signup and view all the answers

What does Nassim Taleb suggest about low probability events when they are repeated?

<p>The chance of an extreme outcome increases as low probability events accumulate, making paranoia about them rational. (A)</p> Signup and view all the answers

Based on the provided description, which of the following best characterizes Tom W.'s personality?

<p>Intelligent yet lacking in true creativity, with a preference for order and a limited interest in others. (A)</p> Signup and view all the answers

What is a practical solution mentioned in the text to mitigate the availability heuristic?

<p>Looking at statistical data instead of relying on immediate or easily recalled examples. (C)</p> Signup and view all the answers

What is a key characteristic of the 'base rate fallacy'?

<p>Overemphasizing the representativeness of a situation while ignoring prior probabilities. (B)</p> Signup and view all the answers

If someone uses the availability heuristic, what is their primary basis for estimating the likelihood of an event?

<p>The ease and speed with which similar events can be recalled. (C)</p> Signup and view all the answers

Which cognitive bias is most directly linked to an overestimation of war-related deaths compared to the actual statistic?

<p>The availability heuristic. (D)</p> Signup and view all the answers

What best describes Tom W.'s personality, which is used as an example in the text?

<p>He is highly intelligent but not creative as he needs systems in which every detail fits neatly. (A)</p> Signup and view all the answers

Which of the following best illustrates the distinction between the availability heuristic and the representativeness heuristic?

<p>The availability heuristic uses ease of recall, while the representativeness heuristic judges based on similarity to a category. (D)</p> Signup and view all the answers

What is a common consequence of the 'exponential growth bias'?

<p>Underestimating the rate of exponential growth, leading to surprises. (C)</p> Signup and view all the answers

Why does exponential growth result in 'thick-tailed' distributions, rather than normal distributions?

<p>Because extreme values deviate greatly from the mean with exponential growth. (B)</p> Signup and view all the answers

Which is an example of a distribution with a ‘thick tail’?

<p>Populations of cities. (C)</p> Signup and view all the answers

According to the provided information about 'Prospect Theory', which choice would most people select? Option A: Get $900 for sure OR Option B: 90% chance to get $1,000

<p>Most people would choose option A to avoid the risk of receiving nothing. (C)</p> Signup and view all the answers

According to the concept of loss aversion, which option would a person be more likely to choose?

<p>A guaranteed loss of $900 (A)</p> Signup and view all the answers

The tendency to be more risk-seeking when trying to avoid a loss, rather than to achieve a gain, is best described by what psychological concept?

<p>Loss aversion (C)</p> Signup and view all the answers

Which of these options best illustrates the 'peak-end rule'?

<p>Choosing to repeat a trial of 14 degrees for 60 seconds, then 15 degrees for 30 seconds, despite it being more unpleasant. (D)</p> Signup and view all the answers

An investor believes that because a stock has increased in value for several consecutive days, it is now due for a decline and chooses accordingly. This behavior is mostly consistent with what concept?

<p>The gambler's fallacy (A)</p> Signup and view all the answers

Which concept best explains why someone might undervalue an item they don't own, compared to an identical item they do own?

<p>The endowment effect (C)</p> Signup and view all the answers

You are managing a project that is over budget. Although a competing product out-performs yours, you are still inclined to continue funding it. Which concept is most likely influencing your decision?

<p>Loss aversion (D)</p> Signup and view all the answers

Why, from an ancestral perspective, might humans be more sensitive to losses than to gains?

<p>Because losses could have led directly to starvation, whereas gains only have diminishing returns (D)</p> Signup and view all the answers

You have two different job offers, one with a high salary but long working hours, and another with a moderate salary but much better working conditions. Which of the described biases would best relate to the reason why someone might choose the high salary, despite high working hours?

<p>Loss aversion (B)</p> Signup and view all the answers

Flashcards

Heuristic

A mental shortcut or rule of thumb used to simplify decision-making. They are often based on experience and intuition, but can lead to biases.

Algorithm

A step-by-step procedure that guarantees the correct solution to a problem, but can be time-consuming and mentally demanding.

System 1 Thinking

A cognitive system that operates automatically and intuitively, relying on heuristics and fast processing.

System 2 Thinking

A cognitive system that operates deliberately and analytically, requiring effortful reasoning and logic.

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Availability Heuristic

A cognitive bias arising from focusing on easily available information while neglecting less accessible data.

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Selection Task

A logical reasoning task designed to test if someone can identify the necessary information to test a specific rule.

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Cheater-Detection Module

A specialized cognitive module that evolved to detect cheating and social violations, influencing our reasoning in social contexts.

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Survivorship Bias

A statistical error that arises when data is analyzed only from the surviving cases, leading to an inaccurate conclusion.

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Sunk Cost Fallacy

The tendency to continue investing in a failing endeavor because of the past investments already made, even if there is no rational justification to do so.

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Planning Fallacy

The tendency to underestimate the time required to complete a task, even when considering potential delays and difficulties.

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Premortem

A technique for mitigating the Planning Fallacy by proactively considering all possible risks and setbacks before making a final estimate.

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Maximizers

Individuals who strive for the optimal choice by considering every possible option.

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Satisficers

Individuals who are satisfied with a good enough option without seeking to optimize every decision.

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Representativeness Heuristic

The tendency to make judgments based on how well something matches a prototype or stereotype.

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Exponential Growth Bias

A type of cognitive bias where people tend to underestimate the rate at which something grows exponentially.

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Loss Aversion

The tendency to feel the pain of a loss more strongly than the pleasure of an equivalent gain.

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Risk Seeking to Avoid Loss

The tendency to seek out riskier options to avoid a potential loss, even if the potential gain is smaller.

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Thick-tailed Distribution

Distributions with a higher than expected proportion of extreme values, often found in phenomena with exponential growth.

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Peak-End Rule

The idea that we remember experiences based on their peak intensity and their final moments, rather than their overall duration.

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Prospect Theory

A theory in behavioral economics that explains how people make decisions under uncertainty involving potential gains and losses.

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Loss Aversion

The tendency to feel more pain from a loss than pleasure from an equivalent gain.

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Gambler's Fallacy

The mistaken belief that after a series of events, the next event is less likely to be the same, even if the events are independent.

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Endowment Effect

The tendency to value something we own more highly than something we don't own, even if we acquired it randomly.

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Reference Point

The idea that the value of a good or service is determined by the perceived gain or loss from acquiring it.

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Confirmation Bias

The tendency for people to overemphasize information that confirms their existing beliefs and to downplay evidence that contradicts them.

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Anchoring Effect

A bias where people use an initial piece of information as a starting point, even if it's irrelevant, to make subsequent judgments.

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Default Effect

A phenomenon where an option becomes more likely to be chosen simply because it's presented as the default or pre-selected option.

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Path Dependency

A situation where the probability of an event is determined by the number of times it has occurred in the past, regardless of the underlying probability.

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Study Notes

Judgement & Decision Making

  • Heuristics are mental shortcuts, rules of thumb, used in decision-making.
  • Algorithms are step-by-step procedures that guarantee a correct solution, but can be time-consuming.
  • The human mind often relies heavily on heuristics.
  • Heuristics are associated with System 1 thinking.
  • System 1 thinking is automatic, fast, and intuitive.
  • System 1 thinking is successful at solving problems in practical, natural environments.
  • System 1 thinking may involve systematic errors, not necessarily flaws.
  • System 1 thinking also involves errors in assessing probabilities.
  • Cheater detection module highlights that social context influences reasoning. Specific mechanisms govern social interaction problems, rather than general-purpose mechanisms.
  • Survivorship bias is a common cognitive bias where only the survivors of a process are considered, leading to an inaccurate assessment of the overall outcome.

Availability Heuristic

  • People judge the probability of an event based on how easily similar instances come to mind (e.g., from memory or media).
  • Vivid memories of dramatic events can make those events seem more frequent than they actually are.
  • The ease with which instances come to mind can be a surrogate for probability.
  • This heuristic can be important for solving practical problems, but also involves subjective biases that can be misinterpreted.
  • Estimate of deaths from war and conflict is often notably higher than actual; this involves recall bias.
  • Massive opposition to nuclear power can be attributed to the availability heuristic when significant tragedies such as Fukushima are highlighted.

Anchoring Effect

  • Anchoring is a cognitive bias where individuals depend too heavily on an initial piece of information offered (the "anchor").
  • The anchor can be highly or extremely high, very low, or even extraneous to the issue at hand.
  • This bias can significantly impact negotiations and other decision-making processes.
  • Individuals use an initial value (the anchor) to adjust their estimates, even if the anchor is arbitrary or irrelevant.
  • Asking individuals to spin a wheel of fortune before estimating the percentage of UN members who are African nations is an example of anchoring.

Base Rate Fallacy

  • The base rate fallacy is also known as the representativeness heuristic.
  • People ignore the base rates when making judgments.
  • Base rate is a fundamental part of evaluating probability, but the representativeness heuristic can cause an individual to ignore that factor instead.
  • Example: People often judge a person to be a computer science student when there is no obvious reason to believe that, simply based on the stereotype.

Endowment Effect

  • The endowment effect is the tendency for people to place a higher value on something they own or possess (e.g. property, goods, or services).
  • Once ownership is established an individual will likely favor the object they own, even if established randomly.
  • This effect can influence pricing and decision-making, impacting individual behavior and judgments.

Planning Fallacy

  • The planning fallacy is the tendency for individuals to underestimate the time needed to complete tasks.
  • Overconfidence often leads to unrealistic timelines.
  • This bias is not just financial in nature, but can be observed in time, health, or ethical decisions.
  • An important antidote is to use premortem analysis, where you consider all possible negative events, not only positive ones.

Loss Aversion

  • Individuals tend to be more averse to losses and will likely take greater risks to avoid them rather than make gains.
  • This is often attributed to a greater emphasis is placed on preventing losses, even in cases that might be beneficial to the individual financially.
  • Losses loom larger than gains.
  • Losses hurt more than the pleasure of gains.

Peak-End Rule

  • People's judgments of past experiences are based on the peak (most intense moment) and the end.
  • People forget the duration of an experience.
  • This rule impacts things like evaluating medical treatments or vacations.
  • The pain or pleasure from an experience is judged based on its peak and end moments.

Gambler's Fallacy

  • Individuals believe that previous outcomes are more significant than they effectively are; this can cause a person to overthink future outcomes.
  • If an event occurs more (or less) frequently than expected, it is assumed by some to be more (or less) likely to occur in the future as well; based on prior random events occurring.
  • This belief often leads people to make mistakes when betting or evaluating outcomes of events, which often results in poor choices.

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