Podcast
Questions and Answers
What is the primary distinction between a heuristic and an algorithm?
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?
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?
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?
What did Cosmides and Tooby's research on cheater-detection modules suggest about human reasoning?
In the context of the plane armor example, what critical data was omitted?
In the context of the plane armor example, what critical data was omitted?
What is the main mistake in analyzing only the returned planes when designing protection?
What is the main mistake in analyzing only the returned planes when designing protection?
What was the consequence of the U.S. military's initial analysis of plane damage prior to Wald's insight?
What was the consequence of the U.S. military's initial analysis of plane damage prior to Wald's insight?
How is the card selection exercise similar to the plane reinforcement example?
How is the card selection exercise similar to the plane reinforcement example?
Which of the following best describes the sunk cost fallacy?
Which of the following best describes the sunk cost fallacy?
What is the key finding regarding 'realistic' versus 'best case' scenario predictions in the context of planning tasks?
What is the key finding regarding 'realistic' versus 'best case' scenario predictions in the context of planning tasks?
What does the planning fallacy primarily refer to?
What does the planning fallacy primarily refer to?
What is the primary issue with only observing the success stories of college dropouts when evaluating the decision to drop out?
What is the primary issue with only observing the success stories of college dropouts when evaluating the decision to drop out?
Which of these is NOT a characteristic of a 'maximizer' decision-maker?
Which of these is NOT a characteristic of a 'maximizer' decision-maker?
How does the 'default effect' influence decision-making?
How does the 'default effect' influence decision-making?
What is the central purpose of a 'premortem' as an antidote to the planning fallacy?
What is the central purpose of a 'premortem' as an antidote to the planning fallacy?
Which of the following scenarios best exemplifies the 'anchoring effect'?
Which of the following scenarios best exemplifies the 'anchoring effect'?
Why do people often overestimate the probability of deaths caused by unusual events, such as nuclear disasters?
Why do people often overestimate the probability of deaths caused by unusual events, such as nuclear disasters?
What does Nassim Taleb suggest about low probability events when they are repeated?
What does Nassim Taleb suggest about low probability events when they are repeated?
Based on the provided description, which of the following best characterizes Tom W.'s personality?
Based on the provided description, which of the following best characterizes Tom W.'s personality?
What is a practical solution mentioned in the text to mitigate the availability heuristic?
What is a practical solution mentioned in the text to mitigate the availability heuristic?
What is a key characteristic of the 'base rate fallacy'?
What is a key characteristic of the 'base rate fallacy'?
If someone uses the availability heuristic, what is their primary basis for estimating the likelihood of an event?
If someone uses the availability heuristic, what is their primary basis for estimating the likelihood of an event?
Which cognitive bias is most directly linked to an overestimation of war-related deaths compared to the actual statistic?
Which cognitive bias is most directly linked to an overestimation of war-related deaths compared to the actual statistic?
What best describes Tom W.'s personality, which is used as an example in the text?
What best describes Tom W.'s personality, which is used as an example in the text?
Which of the following best illustrates the distinction between the availability heuristic and the representativeness heuristic?
Which of the following best illustrates the distinction between the availability heuristic and the representativeness heuristic?
What is a common consequence of the 'exponential growth bias'?
What is a common consequence of the 'exponential growth bias'?
Why does exponential growth result in 'thick-tailed' distributions, rather than normal distributions?
Why does exponential growth result in 'thick-tailed' distributions, rather than normal distributions?
Which is an example of a distribution with a ‘thick tail’?
Which is an example of a distribution with a ‘thick tail’?
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
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
According to the concept of loss aversion, which option would a person be more likely to choose?
According to the concept of loss aversion, which option would a person be more likely to choose?
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?
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?
Which of these options best illustrates the 'peak-end rule'?
Which of these options best illustrates the 'peak-end rule'?
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?
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?
Which concept best explains why someone might undervalue an item they don't own, compared to an identical item they do own?
Which concept best explains why someone might undervalue an item they don't own, compared to an identical item they do own?
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?
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?
Why, from an ancestral perspective, might humans be more sensitive to losses than to gains?
Why, from an ancestral perspective, might humans be more sensitive to losses than to gains?
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?
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?
Flashcards
Heuristic
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
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
System 1 Thinking
A cognitive system that operates automatically and intuitively, relying on heuristics and fast processing.
System 2 Thinking
System 2 Thinking
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Availability Heuristic
Availability Heuristic
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Selection Task
Selection Task
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Cheater-Detection Module
Cheater-Detection Module
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Survivorship Bias
Survivorship Bias
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Sunk Cost Fallacy
Sunk Cost Fallacy
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Planning Fallacy
Planning Fallacy
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Premortem
Premortem
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Maximizers
Maximizers
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Satisficers
Satisficers
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Representativeness Heuristic
Representativeness Heuristic
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Exponential Growth Bias
Exponential Growth Bias
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Loss Aversion
Loss Aversion
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Risk Seeking to Avoid Loss
Risk Seeking to Avoid Loss
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Thick-tailed Distribution
Thick-tailed Distribution
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Peak-End Rule
Peak-End Rule
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Prospect Theory
Prospect Theory
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Loss Aversion
Loss Aversion
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Gambler's Fallacy
Gambler's Fallacy
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Endowment Effect
Endowment Effect
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Reference Point
Reference Point
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Confirmation Bias
Confirmation Bias
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Anchoring Effect
Anchoring Effect
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Default Effect
Default Effect
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Path Dependency
Path Dependency
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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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