Top 100 Heuristics¶
"Simplifying decision-making with effective rules of thumb."
Heuristics are mental shortcuts or "rules of thumb" that people use to make decisions quickly and efficiently. These strategies can be incredibly powerful in various fields, from psychology and economics to computer science and everyday life. This list explores the top 100 heuristics that have proven to be useful in solving complex problems with simple, effective rules.
Topics¶
Overview¶
- Title: "Top 100 Heuristics: Simplifying Decision-Making"
- Subtitle: "Exploring the Power of Simple Rules"
- Tagline: "Simplifying decision-making with effective rules of thumb."
- Description: "A comprehensive list of heuristics that aid in decision-making, problem-solving, and improving efficiency across various fields."
- Keywords: Heuristics, Decision-making, Problem-solving, Cognitive shortcuts, Efficiency...
Cheat¶
# Top 100 Heuristics
- Simplifying Decision-Making
- Exploring the Power of Simple Rules
- Simplifying decision-making with effective rules of thumb.
- A comprehensive list of heuristics that aid in decision-making, problem-solving, and improving efficiency across various fields.
- Heuristics, Decision-making, Problem-solving, Cognitive shortcuts, Efficiency...
## Topics
- Cognitive Heuristics: Biases, Anchoring, Availability, Representativeness, Simulation...
- Problem-Solving Heuristics: Means-End Analysis, Working Backwards, Hill Climbing, Pattern Recognition, Trial and Error...
- Social Heuristics: Reciprocity, Social Proof, Authority, Liking, Scarcity...
- Mathematical Heuristics: Approximation, Estimation, Rule of 72, Pigeonhole Principle, Heuristic Algorithms...
- Everyday Heuristics: 80/20 Rule, Satisficing, Simplification, Experience-Based Learning, Intuition...
Cognitive Heuristics¶
"Unlocking the brain's shortcuts for quick decisions."
Cognitive heuristics are mental shortcuts used to simplify complex cognitive tasks. They are essential for decision-making and problem-solving, helping individuals make judgments efficiently.
- Availability Heuristic: Judging the likelihood of events based on their availability in memory.
- Anchoring: Relying heavily on the first piece of information encountered.
- Representativeness Heuristic: Assessing similarity and predicting outcomes based on past experiences.
- Simulation Heuristic: Predicting the likelihood of an event based on how easily one can imagine it.
- Affect Heuristic: Making decisions based on emotions and feelings.
- Hindsight Bias: Believing that past events were predictable.
- Confirmation Bias: Seeking information that confirms pre-existing beliefs.
- Overconfidence Bias: Overestimating one's abilities and the accuracy of predictions.
- Gambler's Fallacy: Believing that past events affect the probability of future events.
- Base Rate Fallacy: Ignoring statistical information in favor of anecdotal information.
- Framing Effect: Reacting differently to the same information based on its presentation.
- Self-Serving Bias: Attributing successes to oneself and failures to external factors.
- Fundamental Attribution Error: Overemphasizing personal characteristics and underestimating situational factors.
- Optimism Bias: Overestimating the likelihood of positive outcomes.
- Pessimism Bias: Overestimating the likelihood of negative outcomes.
- Dunning-Kruger Effect: Low-ability individuals overestimating their competence.
- Illusory Correlation: Perceiving a relationship between variables even when none exists.
- Status Quo Bias: Preferring things to remain the same.
- Loss Aversion: The tendency to prefer avoiding losses over acquiring equivalent gains.
- Sunk Cost Fallacy: Continuing an endeavor once an investment in money, effort, or time has been made.
Problem-Solving Heuristics¶
"Strategies to tackle challenges efficiently."
Problem-solving heuristics are techniques that aid in finding solutions to problems through practical and straightforward methods.
- Means-End Analysis: Breaking down a problem into smaller, manageable parts.
- Working Backwards: Starting from the desired outcome and working backwards to find the solution.
- Hill Climbing: Continuously moving towards the goal without considering the overall path.
- Pattern Recognition: Identifying patterns to solve problems more efficiently.
- Trial and Error: Experimenting with different solutions until one works.
- Analogies: Using similarities with known problems to solve new ones.
- Divide and Conquer: Breaking a problem into smaller, more manageable parts.
- Brainstorming: Generating multiple ideas and solutions.
- Lateral Thinking: Approaching problems from new and unexpected angles.
- Hypothesis Testing: Forming and testing hypotheses to find solutions.
- Heuristic Search: Using rules to guide search strategies in problem-solving.
- Constraint Satisfaction: Identifying and satisfying constraints in problems.
- Reduction: Simplifying complex problems into simpler ones.
- Simulation: Using models to simulate possible solutions.
- Reverse Engineering: Disassembling a system to understand and solve it.
- Optimization: Finding the best solution among many.
- Approximation: Using approximate solutions for complex problems.
- Case-Based Reasoning: Using previous cases to solve new problems.
- Elimination: Eliminating unlikely solutions to narrow down the possibilities.
- Deductive Reasoning: Using logic and known facts to derive conclusions.
Social Heuristics¶
"Navigating social interactions with ease."
Social heuristics are shortcuts used in social interactions to facilitate decision-making and behavior.
- Reciprocity: Responding to others in kind.
- Social Proof: Following the actions of others in uncertain situations.
- Authority: Obeying authority figures.
- Liking: Being influenced by people we like.
- Scarcity: Valuing rare items more highly.
- Commitment: Staying consistent with previous commitments.
- Conformity: Aligning behavior with group norms.
- Ingroup Bias: Favoring people within our group.
- Outgroup Homogeneity: Viewing outgroup members as more similar to each other.
- Halo Effect: Generalizing positive impressions from one trait.
- Mere Exposure Effect: Developing preferences through repeated exposure.
- Foot-in-the-Door: Gaining compliance with a small request before making a larger one.
- Door-in-the-Face: Starting with a large request to increase the likelihood of agreement to a smaller one.
- That’s-Not-All: Offering additional benefits before a decision is made.
- Bystander Effect: The presence of others discouraging individual action.
- Groupthink: Prioritizing group harmony over realistic appraisals.
- Social Loafing: Exerting less effort when working in a group.
- Emotional Contagion: Mimicking the emotions of others.
- Altruism Heuristic: Helping others with no expectation of reward.
- Tit-for-Tat: Cooperating and reciprocating in social interactions.
Mathematical Heuristics¶
"Simplifying complex calculations."
Mathematical heuristics are strategies used to simplify and solve mathematical problems effectively.
- Approximation: Using rounded numbers to simplify calculations.
- Estimation: Making educated guesses for quick calculations.
- Rule of 72: Estimating doubling time by dividing 72 by the interest rate.
- Pigeonhole Principle: Proving that if more items are put into fewer containers, one container must contain more than one item.
- Heuristic Algorithms: Using algorithms to find approximate solutions.
- Monte Carlo Method: Using randomness to solve problems.
- Fermi Estimation: Making rough estimates with limited information.
- Golden Ratio: Using the golden ratio for aesthetically pleasing proportions.
- Dimensional Analysis: Checking the consistency of equations by analyzing their dimensions.
- Bayesian Heuristics: Updating probabilities based on new evidence.
- Cross-Multiplication: Simplifying proportions.
- Interpolation: Estimating values between known values.
- Extrapolation: Estimating values beyond known values.
- Logarithmic Heuristic: Simplifying multiplicative processes.
- Graphical Method: Using graphs to visualize and solve problems.
- Matrix Method: Solving systems of equations using matrices.
- Trial Division: Simplifying factorization.
- Simpson's Rule: Estimating integrals.
- Newton's Method: Finding successively better approximations to roots.
- Linear Programming: Optimizing linear functions subject to constraints.
Everyday Heuristics¶
"Making life simpler and more efficient."
Everyday heuristics are practical strategies that people use in their daily lives to make decisions and solve problems efficiently.
- 80/20 Rule: Focusing on the 20% of tasks that yield 80% of results.
- Satisficing: Settling for a good-enough solution.
- Simplification: Reducing complexity to make decisions easier.
- Experience-Based Learning: Using past experiences to guide future actions.
- Intuition: Relying on gut feelings.
- Checklists: Using lists to ensure all tasks are completed.
- Habit Formation: Developing routines to improve efficiency.
- Time Blocking: Allocating specific times for tasks.
- Prioritization: Rankingtasks by importance.
- Delegation: Assigning tasks to others to manage workload.
- Budgeting: Planning financial resources to avoid overspending.
- Healthy Boundaries: Setting limits to maintain work-life balance.
- Procrastination Minimization: Using techniques to avoid delays.
- Decision Trees: Mapping out choices to visualize consequences.
- Mind Mapping: Organizing thoughts and ideas visually.
- SMART Goals: Setting specific, measurable, achievable, relevant, and time-bound goals.
- Pomodoro Technique: Working in focused intervals with breaks.
- Reflective Journaling: Writing to process thoughts and experiences.
- Visualization: Imagining successful outcomes to enhance performance.
- Feedback Loops: Using feedback to improve continuously.
Top 100 List¶
- Availability Heuristic (Cognitive Heuristics)
- Means-End Analysis (Problem-Solving Heuristics)
- Reciprocity (Social Heuristics)
- Approximation (Mathematical Heuristics)
- 80/20 Rule (Everyday Heuristics)
- Anchoring (Cognitive Heuristics)
- Working Backwards (Problem-Solving Heuristics)
- Social Proof (Social Heuristics)
- Estimation (Mathematical Heuristics)
- Satisficing (Everyday Heuristics)
- Representativeness Heuristic (Cognitive Heuristics)
- Hill Climbing (Problem-Solving Heuristics)
- Authority (Social Heuristics)
- Rule of 72 (Mathematical Heuristics)
- Simplification (Everyday Heuristics)
- Simulation Heuristic (Cognitive Heuristics)
- Pattern Recognition (Problem-Solving Heuristics)
- Liking (Social Heuristics)
- Pigeonhole Principle (Mathematical Heuristics)
- Experience-Based Learning (Everyday Heuristics)
- Affect Heuristic (Cognitive Heuristics)
- Trial and Error (Problem-Solving Heuristics)
- Scarcity (Social Heuristics)
- Heuristic Algorithms (Mathematical Heuristics)
- Intuition (Everyday Heuristics)
- Hindsight Bias (Cognitive Heuristics)
- Analogies (Problem-Solving Heuristics)
- Commitment (Social Heuristics)
- Monte Carlo Method (Mathematical Heuristics)
- Checklists (Everyday Heuristics)
- Confirmation Bias (Cognitive Heuristics)
- Divide and Conquer (Problem-Solving Heuristics)
- Conformity (Social Heuristics)
- Fermi Estimation (Mathematical Heuristics)
- Habit Formation (Everyday Heuristics)
- Overconfidence Bias (Cognitive Heuristics)
- Brainstorming (Problem-Solving Heuristics)
- Ingroup Bias (Social Heuristics)
- Golden Ratio (Mathematical Heuristics)
- Time Blocking (Everyday Heuristics)
- Gambler's Fallacy (Cognitive Heuristics)
- Lateral Thinking (Problem-Solving Heuristics)
- Outgroup Homogeneity (Social Heuristics)
- Dimensional Analysis (Mathematical Heuristics)
- Prioritization (Everyday Heuristics)
- Base Rate Fallacy (Cognitive Heuristics)
- Hypothesis Testing (Problem-Solving Heuristics)
- Halo Effect (Social Heuristics)
- Bayesian Heuristics (Mathematical Heuristics)
- Delegation (Everyday Heuristics)
- Framing Effect (Cognitive Heuristics)
- Heuristic Search (Problem-Solving Heuristics)
- Mere Exposure Effect (Social Heuristics)
- Cross-Multiplication (Mathematical Heuristics)
- Budgeting (Everyday Heuristics)
- Self-Serving Bias (Cognitive Heuristics)
- Constraint Satisfaction (Problem-Solving Heuristics)
- Foot-in-the-Door (Social Heuristics)
- Interpolation (Mathematical Heuristics)
- Healthy Boundaries (Everyday Heuristics)
- Fundamental Attribution Error (Cognitive Heuristics)
- Reduction (Problem-Solving Heuristics)
- Door-in-the-Face (Social Heuristics)
- Extrapolation (Mathematical Heuristics)
- Procrastination Minimization (Everyday Heuristics)
- Optimism Bias (Cognitive Heuristics)
- Simulation (Problem-Solving Heuristics)
- That’s-Not-All (Social Heuristics)
- Logarithmic Heuristic (Mathematical Heuristics)
- Decision Trees (Everyday Heuristics)
- Pessimism Bias (Cognitive Heuristics)
- Reverse Engineering (Problem-Solving Heuristics)
- Bystander Effect (Social Heuristics)
- Graphical Method (Mathematical Heuristics)
- Mind Mapping (Everyday Heuristics)
- Dunning-Kruger Effect (Cognitive Heuristics)
- Optimization (Problem-Solving Heuristics)
- Groupthink (Social Heuristics)
- Matrix Method (Mathematical Heuristics)
- SMART Goals (Everyday Heuristics)
- Illusory Correlation (Cognitive Heuristics)
- Approximation (Problem-Solving Heuristics)
- Social Loafing (Social Heuristics)
- Trial Division (Mathematical Heuristics)
- Pomodoro Technique (Everyday Heuristics)
- Status Quo Bias (Cognitive Heuristics)
- Case-Based Reasoning (Problem-Solving Heuristics)
- Emotional Contagion (Social Heuristics)
- Simpson's Rule (Mathematical Heuristics)
- Reflective Journaling (Everyday Heuristics)
- Loss Aversion (Cognitive Heuristics)
- Elimination (Problem-Solving Heuristics)
- Altruism Heuristic (Social Heuristics)
- Newton's Method (Mathematical Heuristics)
- Visualization (Everyday Heuristics)
- Sunk Cost Fallacy (Cognitive Heuristics)
- Deductive Reasoning (Problem-Solving Heuristics)
- Tit-for-Tat (Social Heuristics)
- Linear Programming (Mathematical Heuristics)
- Feedback Loops (Everyday Heuristics)
Top 100 Table¶
Rank | Name | Topic | Tagline |
---|---|---|---|
1 | Availability Heuristic | Cognitive Heuristics | "Judging the likelihood of events based on their availability in memory." |
2 | Means-End Analysis | Problem-Solving Heuristics | "Breaking down a problem into smaller, manageable parts." |
3 | Reciprocity | Social Heuristics | "Responding to others in kind." |
4 | Approximation | Mathematical Heuristics | "Using rounded numbers to simplify calculations." |
5 | 80/20 Rule | Everyday Heuristics | "Focusing on the 20% of tasks that yield 80% of results." |
6 | Anchoring | Cognitive Heuristics | "Relying heavily on the first piece of information encountered." |
7 | Working Backwards | Problem-Solving Heuristics | "Starting from the desired outcome and working backwards to find the solution." |
8 | Social Proof | Social Heuristics | "Following the actions of others in uncertain situations." |
9 | Estimation | Mathematical Heuristics | "Making educated guesses for quick calculations." |
10 | Satisficing | Everyday Heuristics | "Settling for a good-enough solution." |
11 | Representativeness Heuristic | Cognitive Heuristics | "Assessing similarity and predicting outcomes based on past experiences." |
12 | Hill Climbing | Problem-Solving Heuristics | "Continuously moving towards the goal without considering the overall path." |
13 | Authority | Social Heuristics | "Obeying authority figures." |
14 | Rule of 72 | Mathematical Heuristics | "Estimating doubling time by dividing 72 by the interest rate." |
15 | Simplification | Everyday Heuristics | "Reducing complexity to make decisions easier." |
16 | Simulation Heuristic | Cognitive Heuristics | "Predicting the likelihood of an event based on how easily one can imagine it." |
17 | Pattern Recognition | Problem-Solving Heuristics | "Identifying patterns to solve problems more efficiently." |
18 | Liking | Social Heuristics | "Being influenced by people we like." |
19 | Pigeonhole Principle | Mathematical Heuristics | "Proving that if more items are put into fewer containers, one container must contain more than one item." |
20 | Experience-Based Learning | Everyday Heuristics | "Using past experiences to guide future actions." |
21 | Affect Heuristic | Cognitive Heuristics | "Making decisions based on emotions and feelings." |
22 | Trial and Error | Problem-Solving Heuristics | "Experimenting with different solutions until oneworks." |
23 | Scarcity | Social Heuristics | "Valuing rare items more highly." |
24 | Heuristic Algorithms | Mathematical Heuristics | "Using algorithms to find approximate solutions." |
25 | Intuition | Everyday Heuristics | "Relying on gut feelings." |
26 | Hindsight Bias | Cognitive Heuristics | "Believing that past events were predictable." |
27 | Analogies | Problem-Solving Heuristics | "Using similarities with known problems to solve new ones." |
28 | Commitment | Social Heuristics | "Staying consistent with previous commitments." |
29 | Monte Carlo Method | Mathematical Heuristics | "Using randomness to solve problems." |
30 | Checklists | Everyday Heuristics | "Using lists to ensure all tasks are completed." |
31 | Confirmation Bias | Cognitive Heuristics | "Seeking information that confirms pre-existing beliefs." |
32 | Divide and Conquer | Problem-Solving Heuristics | "Breaking a problem into smaller, more manageable parts." |
33 | Conformity | Social Heuristics | "Aligning behavior with group norms." |
34 | Fermi Estimation | Mathematical Heuristics | "Making rough estimates with limited information." |
35 | Habit Formation | Everyday Heuristics | "Developing routines to improve efficiency." |
36 | Overconfidence Bias | Cognitive Heuristics | "Overestimating one's abilities and the accuracy of predictions." |
37 | Brainstorming | Problem-Solving Heuristics | "Generating multiple ideas and solutions." |
38 | Ingroup Bias | Social Heuristics | "Favoring people within our group." |
39 | Golden Ratio | Mathematical Heuristics | "Using the golden ratio for aesthetically pleasing proportions." |
40 | Time Blocking | Everyday Heuristics | "Allocating specific times for tasks." |
41 | Gambler's Fallacy | Cognitive Heuristics | "Believing that past events affect the probability of future events." |
42 | Lateral Thinking | Problem-Solving Heuristics | "Approaching problems from new and unexpected angles." |
43 | Outgroup Homogeneity | Social Heuristics | "Viewing outgroup members as more similar to each other." |
44 | Dimensional Analysis | Mathematical Heuristics | "Checking the consistency of equations by analyzing their dimensions." |
45 | Prioritization | Everyday Heuristics | "Ranking tasks by importance." |
46 | Base Rate Fallacy | Cognitive Heuristics | "Ignoring statistical information in favor of anecdotal information." |
47 | Hypothesis Testing | Problem-Solving Heuristics | "Forming and testing hypotheses to find solutions." |
48 | Halo Effect | Social Heuristics | "Generalizing positive impressions from one trait." |
49 | Bayesian Heuristics | Mathematical Heuristics | "Updating probabilities based on new evidence." |
50 | Delegation | Everyday Heuristics | "Assigning tasks to others to manage workload." |
51 | Framing Effect | Cognitive Heuristics | "Reacting differently to the same information based on its presentation." |
52 | Heuristic Search | Problem-Solving Heuristics | "Using rules to guide search strategies in problem-solving." |
53 | Mere Exposure Effect | Social Heuristics | "Developing preferences through repeated exposure." |
54 | Cross-Multiplication | Mathematical Heuristics | "Simplifying proportions." |
55 | Budgeting | Everyday Heuristics | "Planning financial resources to avoid overspending." |
56 | Self-Serving Bias | Cognitive Heuristics | "Attributing successes to oneself and failures to external factors." |
57 | Constraint Satisfaction | Problem-Solving Heuristics | "Identifying and satisfying constraints in problems." |
58 | Foot-in-the-Door | Social Heuristics | "Gaining compliance with a small request before making a larger one." |
59 | Interpolation | Mathematical Heuristics | "Estimating values between known values." |
60 | Healthy Boundaries | Everyday Heuristics | "Setting limits to maintain work-life balance." |
61 | Fundamental Attribution Error | Cognitive Heuristics | "Overemphasizing personal characteristics and underestimating situational factors." |
62 | Reduction | Problem-Solving Heuristics | "Simplifying complex problems into simpler ones." |
63 | Door-in-the-Face | Social Heuristics | "Starting with a large request to increase the likelihood of agreement to a smaller one." |
64 | Extrapolation | Mathematical Heuristics | "Estimating values beyond known values." |
65 | Procrastination Minimization | Everyday Heuristics | "Using techniques to avoid delays." |
66 | Optimism Bias | Cognitive Heuristics | "Overestimating the likelihood of positive outcomes." |
67 | Simulation | Problem-Solving Heuristics | "Using models to simulate possible solutions." |
68 | That’s-Not-All | Social Heuristics | "Offering additional benefits before a decision is made." |
69 | Logarithmic Heuristic | Mathematical Heuristics | "Simplifying multiplicative processes." |
70 | Decision Trees | Everyday Heuristics | "Mapping out choices to visualize consequences." |
71 | Pessimism Bias | Cognitive Heuristics | "Overestimating the likelihood of negative outcomes." |
72 | Reverse Engineering | Problem-Solving Heuristics | "Disassembling a system to understand and solve it." |
73 | Bystander Effect | Social Heuristics | "The presence of others discouraging individual action." |
74 | Graphical Method | Mathematical Heuristics | "Using graphs to visualize and solve problems." |
75 | Mind Mapping | Everyday Heuristics | "Organizing thoughts and ideas visually." |
76 | Dunning-Kruger Effect | Cognitive Heuristics | "Low-ability individuals overestimating their competence." |
77 | Optimization | Problem-Solving Heuristics | "Finding the best solution among many." |
78 | Groupthink | Social Heuristics | "Prioritizing group harmony over realistic appraisals." |
79 | Matrix Method | Mathematical Heuristics | "Solving systems of equations using matrices." |
80 | SMART Goals | Everyday Heuristics | "Setting specific, measurable, achievable, relevant, and time-bound goals." |
81 | Illusory Correlation | Cognitive Heuristics | "Perceiving a relationship between variables even when none exists." |
82 | Approximation | Problem-Solving Heuristics | "Using approximate solutions for complex problems." |
83 | Social Loafing | Social Heuristics | "Exerting less effort when working in a group." |
84 | Trial Division | Mathematical Heuristics | "Simplifying factorization." |
85 | Pomodoro Technique | Everyday Heuristics | "Working in focused intervals with breaks." |
86 | Status Quo Bias | Cognitive Heuristics | "Preferring things to remain the same." |
87 | Case-Based Reasoning | Problem-Solving Heuristics | "Using previous cases to solve new problems." |
88 | Emotional Contagion | Social Heuristics | "Mimicking the emotions of others." |
89 | Simpson's Rule | Mathematical Heuristics | "Estimating integrals." |
90 | Reflective Journaling | Everyday Heuristics | "Writing to process thoughts and experiences." |
91 | Loss Aversion | Cognitive Heuristics | "The tendency to prefer avoiding losses over acquiring equivalent gains." |
92 | Elimination | Problem-Solving Heuristics | "Eliminating unlikely solutions to narrow down the possibilities." |
93 | Altruism Heuristic | Social Heuristics | "Helping others with no expectation of reward." |
94 | Newton's Method | Mathematical Heuristics | "Finding successively better approximations to roots." |
95 | Visualization | Everyday Heuristics | "Imagining successful outcomes to enhance performance." |
96 | Sunk Cost Fallacy | Cognitive Heuristics | "Continuing an endeavor once an investment in money, effort, or time has been made." |
97 | Deductive Reasoning | Problem-Solving Heuristics | "Using logic and known facts to derive conclusions." |
98 | Tit-for-Tat | Social Heuristics | "Cooperating and reciprocating in social interactions." |
99 | Linear Programming | Mathematical Heuristics | "Optimizing linear functions subject to constraints." |
100 | Feedback Loops | Everyday Heuristics | "Using feedback to improve continuously." |
Conclusion¶
Heuristics are powerful tools that simplify complex decision-making processes. Whether in cognitive functions, problem-solving, social interactions, mathematics, or daily life, these rules of thumb enable us to navigate the world more efficiently. Understanding and applying these heuristics can lead to better outcomes in various aspects of life, from personal decisions to professional strategies