Inclusive Fitness

Inclusive Fitness

Inclusive Fitness, a concept in evolutionary biology, elucidates reproductive success through genetic contributions and support for relatives. Key ideas include reproductive success, kin selection, Hamilton’s Rule, and genetic relatedness. Understanding it offers insights into social behavior evolution and conservation strategies, while challenges include quantifying relatedness and complex behaviors. Examples include parental care and altruism, and applications range from conservation biology to genetic studies.

The Foundations of Inclusive Fitness

At the heart of inclusive fitness theory is the idea that natural selection acts not only on an individual’s own reproductive success but also on the reproductive success of its genetic relatives. In other words, it takes into account both an individual’s direct fitness (the number of offspring they produce) and their indirect fitness (the reproductive success of relatives who share some of their genes). This concept is often summarized in the following equation:

Inclusive fitness theory rests on several key foundations:

1. Genetic Relatedness

The degree of genetic relatedness between individuals plays a central role in inclusive fitness calculations. Hamilton introduced the concept of “kin selection,” which suggests that individuals are more likely to help and cooperate with close genetic relatives because doing so increases their own inclusive fitness. The closer the genetic relationship, the more genes they share, and the more likely helping behavior is to evolve.

2. Hamilton’s Rule

Hamilton formulated a quantitative rule, known as Hamilton’s rule, to predict when altruistic behaviors are likely to evolve based on the costs and benefits involved. The rule states that altruistic behavior will evolve when the benefit to the recipient (weighted by relatedness) exceeds the cost to the altruist. Mathematically, this is expressed as:

Where:

  • r represents the genetic relatedness between the altruist and the recipient.
  • B represents the benefit to the recipient.
  • C represents the cost to the altruist.

In essence, this rule provides a way to predict under what circumstances altruistic behaviors, such as helping relatives, will be favored by natural selection.

Examples of Inclusive Fitness in Nature

Inclusive fitness theory has been applied to a wide range of species to explain various forms of altruistic behavior and social cooperation. Here are a few notable examples:

1. Honeybees

Honeybee colonies are structured in a way that highlights the principles of inclusive fitness. In a bee colony, the majority of individuals are sterile female workers who forage for food, care for the queen and her offspring, and defend the hive. These worker bees are more closely related to their sisters (with whom they share 75% of their genes) than they would be to their own offspring (50% genetic relatedness). This high relatedness among sisters promotes the evolution of worker sterility and cooperation within the colony, as helping the queen produce more sisters enhances their inclusive fitness.

2. Naked Mole Rats

Naked mole rats live in underground colonies with a social structure resembling that of honeybees. Only one female, the queen, reproduces in the colony, while the others are non-reproductive worker mole rats. The workers assist the queen in various tasks, and their sterile status is explained by their high genetic relatedness to the queen’s offspring. By helping the queen produce more siblings, the workers indirectly pass on their genes and enhance their inclusive fitness.

3. Vampire Bats

In the case of vampire bats, individuals often regurgitate blood to share with less successful foragers in their colony. This form of food sharing is an example of reciprocal altruism, where individuals help others with the expectation of receiving help in return. While not all bats in a colony engage in food sharing, those that do benefit from the inclusive fitness gained by helping their relatives.

4. Humans

Inclusive fitness theory has also been applied to understanding human behavior. For example, human grandparents often invest time and resources in helping raise their grandchildren. From an inclusive fitness perspective, this makes sense because grandparents share 25% of their genes with their grandchildren, which is equivalent to the relatedness between full siblings. By assisting in the upbringing of grandchildren, grandparents indirectly promote the transmission of their own genes.

Beyond Kin Selection: The Broader Implications

While inclusive fitness theory initially focused on kin selection and altruistic behaviors in animals, it has broader implications for understanding various aspects of social behavior, cooperation, and even human psychology.

1. Cooperative Behavior

Inclusive fitness theory helps explain why cooperation and altruism can evolve in both biological and social systems. It provides a framework for understanding why individuals might engage in behaviors that appear to benefit others at a cost to themselves.

2. Reciprocal Altruism

The concept of inclusive fitness extends to reciprocal altruism in non-kin relationships. In cases where individuals can benefit from future help in return for their current assistance, the principles of relatedness and cost-benefit analysis still apply, even if the individuals involved are not genetically related.

3. Human Social Behavior

Inclusive fitness theory has been applied to various aspects of human social behavior, including family dynamics, cooperation in social groups, and even the evolution of morality and ethical systems. It provides insights into why humans exhibit behaviors that promote group cohesion and cooperation.

4. Evolution of Emotions

Some researchers have proposed that emotions, such as empathy and guilt, have evolved as mechanisms to facilitate altruistic behavior and cooperation. These emotions may serve to reinforce prosocial behaviors that enhance inclusive fitness.

Criticisms and Controversies

While inclusive fitness theory has been influential in the field of evolutionary biology, it has also faced criticism and sparked debates. One notable point of contention is the interpretation of Hamilton’s rule and the relative importance of genetic relatedness versus other factors, such as reciprocity and group selection, in explaining altruistic behavior.

Some researchers argue that the emphasis on genetic relatedness in inclusive fitness theory may oversimplify the complexities of social interactions and cooperation. They suggest that factors like reciprocity (helping those who have helped you in the past) and group selection (beneficial traits spreading within a group) may play more significant roles in certain contexts.

Conclusion

Inclusive fitness is a fundamental concept in the study of evolutionary biology and animal behavior. It provides a powerful framework for understanding why organisms, including humans, engage in altruistic behaviors and cooperate with others, especially within the context of kin selection. By considering both an individual’s direct fitness and the indirect fitness gained through relatives, inclusive fitness theory sheds light on the evolution of social systems, cooperation, and even human social behavior.

Examples:

  • Parental Care: Inclusive Fitness explains the evolutionary advantage of organisms providing care to enhance the survival and reproductive success of their offspring.
  • Eusocial Insects: Eusocial insects like ants and bees exhibit intricate cooperative behaviors and division of labor, primarily driven by Inclusive Fitness.
  • Altruism in Animal Kingdom: Numerous examples exist where animals engage in altruistic behaviors, such as meerkats taking sentinel roles to protect their kin.

Applications:

  • Conservation Biology: Inclusive Fitness theory is applied to protect endangered species by considering their genetic relatedness and developing conservation strategies.
  • Human Behavior Studies: Researchers analyze the evolution of human behaviors like cooperation, altruism, and kin-based interactions from an Inclusive Fitness perspective.
  • Ecological Research: Ecologists study interactions and behaviors within ecosystems, considering genetic relatedness as a driving factor in species interactions.
  • Genetic Studies: Inclusive Fitness concepts are employed in genetic research to explore genetic relatedness and the spread of genes within populations.

Case Studies

  • Meerkat Sentry Duty: Meerkats take turns standing guard as sentries, scanning for predators. This altruistic behavior enhances the group’s survival and is driven by genetic relatedness among group members.
  • Honeybee Hives: In a beehive, worker bees sacrifice their reproductive potential to support the queen’s reproduction. This cooperative system among genetically related bees maximizes the hive’s success.
  • Vervet Monkey Alarm Calls: Vervet monkeys emit distinct alarm calls to warn their group about different types of predators. This behavior benefits kin and reflects Inclusive Fitness by enhancing group survival.
  • Ant Colony Division of Labor: Ant colonies exhibit a complex division of labor, with workers caring for the queen and brood. Altruistic actions by worker ants increase the inclusive fitness of the colony.
  • Mammalian Parental Care: Many mammals, such as wolves and elephants, invest heavily in parental care. Offspring survival contributes to the reproductive success of parents and close relatives.
  • Human Kin Altruism: Human families often provide support to relatives, including financial assistance, childcare, and emotional support. These acts of altruism are driven by genetic relatedness.
  • Bird Nest Helpers: In some bird species, individuals other than the breeding pair assist in raising chicks. These helpers are typically closely related to the breeding pair and contribute to the inclusive fitness of the family.
  • Naked Mole Rat Colonies: Naked mole rats live in colonies with a single breeding female (the queen) and non-breeding worker rats. Workers contribute to the colony’s success through cooperation and altruism.
  • Coral Polyp Symbiosis: Coral polyps form symbiotic relationships with photosynthetic algae (zooxanthellae). The polyps provide a protected environment, while the algae contribute energy through photosynthesis, benefiting both parties.
  • Wildebeest Migratory Herds: During the annual migration, wildebeests move in large herds. The presence of many individuals provides protection against predators, and individuals benefit from the collective safety offered by the group.
  • Pack Hunting Wolves: In wolf packs, members cooperate during hunts to capture prey. Successful hunts benefit the entire pack, which often consists of close relatives.
  • Human Organ Donation: Humans may donate organs or bone marrow to close relatives, saving lives and ensuring the continuation of shared genes.
  • Sibling Cooperation in Birds: In some bird species, older siblings help feed and care for younger siblings, increasing the chances of survival for the entire brood.
  • Coevolution of Flowers and Pollinators: Flowers have evolved to attract specific pollinators, such as bees or butterflies. By aiding in pollination, pollinators ensure the plant’s reproduction, creating a mutually beneficial relationship.
  • Territorial Defense in Red Squirrels: Red squirrels defend territories where they store food. Siblings may cooperate to protect their territories, which enhances food availability for the family.

Key Highlights

  • Evolutionary Foundation: Inclusive Fitness is a fundamental concept in evolutionary biology that explains the reproductive success of organisms.
  • Reproductive Focus: It centers on an organism’s ability to pass on its genetic material to the next generation as a measure of success.
  • Genetic Contribution: Inclusive Fitness emphasizes the genetic contributions an individual makes to its offspring and relatives.
  • Altruistic Behaviors: It helps explain the evolution of altruistic behaviors, where individuals may sacrifice their own interests for the benefit of genetically related kin.
  • Genetic Relatedness: This concept hinges on the degree of genetic similarity between individuals, driving cooperative behaviors.
  • Key Concepts: Central concepts include reproductive success, kin selection, Hamilton’s Rule, genetic relatedness, and altruism.
  • Benefits: Inclusive Fitness offers insights into the evolution of social behaviors, aids in conservation strategies, and enhances our understanding of cooperation and group dynamics.
  • Challenges: Challenges include quantifying genetic relatedness, understanding complex behaviors, applying theory to real-world scenarios, and addressing debates in evolutionary biology.
  • Examples: Illustrative examples range from animal behaviors like parental care, eusocial insects, and alarm calls to cooperative human behaviors and ecological interactions.
  • Applications: Applications include conservation biology, human behavior studies, ecological research, and genetic studies, showcasing the practical relevance of Inclusive Fitness theory.
Related Concepts, Frameworks, or ModelsDescriptionWhen to Apply
Inclusive FitnessA concept in evolutionary biology that extends the theory of natural selection to explain the evolution of altruistic behaviors and cooperative interactions among organisms based on their genetic relatedness. It suggests that genes can be passed on indirectly through the reproduction and survival of relatives, promoting the spread of genes that enhance the fitness of kin or close genetic relatives even at a cost to the individual bearing the genes.Relevant in the study of social behaviors and interactions in organisms, particularly in understanding the evolutionary basis of altruism, cooperation, and reciprocal relationships among related individuals or members of a social group.
Kin SelectionA mechanism of natural selection that favors the evolution of traits that benefit the survival and reproduction of close genetic relatives, even at a cost to the individual possessing the trait, due to the genetic similarity shared with kin and the indirect benefits of enhancing the fitness of related individuals through shared genes.Applicable in the study of evolutionary biology, behavioral ecology, and social dynamics to understand the evolution of altruistic behaviors, cooperation, and social bonding based on genetic relatedness and kinship within populations or groups.
Cooperative BehaviorsActions or interactions among individuals that involve mutual assistance, collaboration, or sharing of resources for the benefit of the group, often at a cost or risk to the individual performing the behavior. They can be motivated by various factors, including kinship, reciprocity, and inclusive fitness, and play a key role in the evolution of social cohesion and group dynamics in many species.Relevant in studies of social behavior, ecology, and evolution, providing insights into the mechanisms and adaptive benefits of cooperation and altruism in promoting the survival and reproductive success of individuals and groups across different environments and contexts.
Altruistic BehaviorsActions or behaviors that benefit others at a cost or risk to the individual performing the action, without expectation of reciprocal benefits or rewards. They can include helping, sharing, cooperation, and sacrifice for the well-being of others, and are often observed in social animals with close kin ties or social bonds within a group.Applicable in studies of social behavior, evolutionary biology, and ecology, particularly in examining the evolutionary roots of altruism, the conditions under which it emerges, and its adaptive significance in promoting the survival and reproductive success of groups or species.
Reciprocal AltruismA form of altruistic behavior where individuals exchange benefits or aid with others on the expectation of reciprocal assistance or cooperation in the future, creating a system of mutual aid and cooperation that enhances the fitness of both parties involved. It is observed in various social species and plays a key role in promoting social cohesion and reciprocity within groups or communities.Relevant in studies of social behavior, ethology, and evolutionary biology to understand the evolution of cooperative interactions, trust, and reciprocity among individuals in social groups and the conditions under which they emerge and persist across species and environments.
Social CohesionThe degree of unity, solidarity, and cooperation among members of a social group, community, or species, characterized by mutual support, trust, and interdependence in achieving common goals and maintaining social stability and harmony within the group.Applicable in studies of social dynamics, collective behavior, and community ecology, providing insights into the factors that promote and sustain cooperation, reciprocity, and social bonding among members of a group or community and their adaptive significance for group survival and success.
Evolutionary FitnessA measure of an organism’s ability to survive and reproduce in a given environment, dictated by its genetic contribution to future generations through offspring and their survival and reproduction success. It is subject to natural selection and can be influenced by factors such as mating success, parental investment, and social behaviors that enhance survival and reproductive success in a given ecological context.Relevant in the study of evolutionary biology and population genetics, providing a framework for understanding the adaptive significance of social behaviors and interactions in contributing to the fitness and survival of organisms and their descendants over time.
Evolutionary Stable StrategiesStrategies or behaviors in game theory and evolutionary biology that are resistant to invasion by alternative strategies, maintaining their presence in a population due to their relative success and fitness advantages in a given environment or social context. They are often associated with equilibrium states in evolutionary games and represent stable solutions to social dilemmas and interactions among organisms within a population or community.Applicable in studies of evolutionary game theory, behavioral ecology, and population dynamics, providing insights into the adaptive strategies and behaviors that promote stability and sustainability in social interactions and cooperative behaviors across species and environments.

Connected Thinking Frameworks

Convergent vs. Divergent Thinking

convergent-vs-divergent-thinking
Convergent thinking occurs when the solution to a problem can be found by applying established rules and logical reasoning. Whereas divergent thinking is an unstructured problem-solving method where participants are encouraged to develop many innovative ideas or solutions to a given problem. Where convergent thinking might work for larger, mature organizations where divergent thinking is more suited for startups and innovative companies.

Critical Thinking

critical-thinking
Critical thinking involves analyzing observations, facts, evidence, and arguments to form a judgment about what someone reads, hears, says, or writes.

Biases

biases
The concept of cognitive biases was introduced and popularized by the work of Amos Tversky and Daniel Kahneman in 1972. Biases are seen as systematic errors and flaws that make humans deviate from the standards of rationality, thus making us inept at making good decisions under uncertainty.

Second-Order Thinking

second-order-thinking
Second-order thinking is a means of assessing the implications of our decisions by considering future consequences. Second-order thinking is a mental model that considers all future possibilities. It encourages individuals to think outside of the box so that they can prepare for every and eventuality. It also discourages the tendency for individuals to default to the most obvious choice.

Lateral Thinking

lateral-thinking
Lateral thinking is a business strategy that involves approaching a problem from a different direction. The strategy attempts to remove traditionally formulaic and routine approaches to problem-solving by advocating creative thinking, therefore finding unconventional ways to solve a known problem. This sort of non-linear approach to problem-solving, can at times, create a big impact.

Bounded Rationality

bounded-rationality
Bounded rationality is a concept attributed to Herbert Simon, an economist and political scientist interested in decision-making and how we make decisions in the real world. In fact, he believed that rather than optimizing (which was the mainstream view in the past decades) humans follow what he called satisficing.

Dunning-Kruger Effect

dunning-kruger-effect
The Dunning-Kruger effect describes a cognitive bias where people with low ability in a task overestimate their ability to perform that task well. Consumers or businesses that do not possess the requisite knowledge make bad decisions. What’s more, knowledge gaps prevent the person or business from seeing their mistakes.

Occam’s Razor

occams-razor
Occam’s Razor states that one should not increase (beyond reason) the number of entities required to explain anything. All things being equal, the simplest solution is often the best one. The principle is attributed to 14th-century English theologian William of Ockham.

Lindy Effect

lindy-effect
The Lindy Effect is a theory about the ageing of non-perishable things, like technology or ideas. Popularized by author Nicholas Nassim Taleb, the Lindy Effect states that non-perishable things like technology age – linearly – in reverse. Therefore, the older an idea or a technology, the same will be its life expectancy.

Antifragility

antifragility
Antifragility was first coined as a term by author, and options trader Nassim Nicholas Taleb. Antifragility is a characteristic of systems that thrive as a result of stressors, volatility, and randomness. Therefore, Antifragile is the opposite of fragile. Where a fragile thing breaks up to volatility; a robust thing resists volatility. An antifragile thing gets stronger from volatility (provided the level of stressors and randomness doesn’t pass a certain threshold).

Systems Thinking

systems-thinking
Systems thinking is a holistic means of investigating the factors and interactions that could contribute to a potential outcome. It is about thinking non-linearly, and understanding the second-order consequences of actions and input into the system.

Vertical Thinking

vertical-thinking
Vertical thinking, on the other hand, is a problem-solving approach that favors a selective, analytical, structured, and sequential mindset. The focus of vertical thinking is to arrive at a reasoned, defined solution.

Maslow’s Hammer

einstellung-effect
Maslow’s Hammer, otherwise known as the law of the instrument or the Einstellung effect, is a cognitive bias causing an over-reliance on a familiar tool. This can be expressed as the tendency to overuse a known tool (perhaps a hammer) to solve issues that might require a different tool. This problem is persistent in the business world where perhaps known tools or frameworks might be used in the wrong context (like business plans used as planning tools instead of only investors’ pitches).

Peter Principle

peter-principle
The Peter Principle was first described by Canadian sociologist Lawrence J. Peter in his 1969 book The Peter Principle. The Peter Principle states that people are continually promoted within an organization until they reach their level of incompetence.

Straw Man Fallacy

straw-man-fallacy
The straw man fallacy describes an argument that misrepresents an opponent’s stance to make rebuttal more convenient. The straw man fallacy is a type of informal logical fallacy, defined as a flaw in the structure of an argument that renders it invalid.

Streisand Effect

streisand-effect
The Streisand Effect is a paradoxical phenomenon where the act of suppressing information to reduce visibility causes it to become more visible. In 2003, Streisand attempted to suppress aerial photographs of her Californian home by suing photographer Kenneth Adelman for an invasion of privacy. Adelman, who Streisand assumed was paparazzi, was instead taking photographs to document and study coastal erosion. In her quest for more privacy, Streisand’s efforts had the opposite effect.

Heuristic

heuristic
As highlighted by German psychologist Gerd Gigerenzer in the paper “Heuristic Decision Making,” the term heuristic is of Greek origin, meaning “serving to find out or discover.” More precisely, a heuristic is a fast and accurate way to make decisions in the real world, which is driven by uncertainty.

Recognition Heuristic

recognition-heuristic
The recognition heuristic is a psychological model of judgment and decision making. It is part of a suite of simple and economical heuristics proposed by psychologists Daniel Goldstein and Gerd Gigerenzer. The recognition heuristic argues that inferences are made about an object based on whether it is recognized or not.

Representativeness Heuristic

representativeness-heuristic
The representativeness heuristic was first described by psychologists Daniel Kahneman and Amos Tversky. The representativeness heuristic judges the probability of an event according to the degree to which that event resembles a broader class. When queried, most will choose the first option because the description of John matches the stereotype we may hold for an archaeologist.

Take-The-Best Heuristic

take-the-best-heuristic
The take-the-best heuristic is a decision-making shortcut that helps an individual choose between several alternatives. The take-the-best (TTB) heuristic decides between two or more alternatives based on a single good attribute, otherwise known as a cue. In the process, less desirable attributes are ignored.

Bundling Bias

bundling-bias
The bundling bias is a cognitive bias in e-commerce where a consumer tends not to use all of the products bought as a group, or bundle. Bundling occurs when individual products or services are sold together as a bundle. Common examples are tickets and experiences. The bundling bias dictates that consumers are less likely to use each item in the bundle. This means that the value of the bundle and indeed the value of each item in the bundle is decreased.

Barnum Effect

barnum-effect
The Barnum Effect is a cognitive bias where individuals believe that generic information – which applies to most people – is specifically tailored for themselves.

First-Principles Thinking

first-principles-thinking
First-principles thinking – sometimes called reasoning from first principles – is used to reverse-engineer complex problems and encourage creativity. It involves breaking down problems into basic elements and reassembling them from the ground up. Elon Musk is among the strongest proponents of this way of thinking.

Ladder Of Inference

ladder-of-inference
The ladder of inference is a conscious or subconscious thinking process where an individual moves from a fact to a decision or action. The ladder of inference was created by academic Chris Argyris to illustrate how people form and then use mental models to make decisions.

Goodhart’s Law

goodharts-law
Goodhart’s Law is named after British monetary policy theorist and economist Charles Goodhart. Speaking at a conference in Sydney in 1975, Goodhart said that “any observed statistical regularity will tend to collapse once pressure is placed upon it for control purposes.” Goodhart’s Law states that when a measure becomes a target, it ceases to be a good measure.

Six Thinking Hats Model

six-thinking-hats-model
The Six Thinking Hats model was created by psychologist Edward de Bono in 1986, who noted that personality type was a key driver of how people approached problem-solving. For example, optimists view situations differently from pessimists. Analytical individuals may generate ideas that a more emotional person would not, and vice versa.

Mandela Effect

mandela-effect
The Mandela effect is a phenomenon where a large group of people remembers an event differently from how it occurred. The Mandela effect was first described in relation to Fiona Broome, who believed that former South African President Nelson Mandela died in prison during the 1980s. While Mandela was released from prison in 1990 and died 23 years later, Broome remembered news coverage of his death in prison and even a speech from his widow. Of course, neither event occurred in reality. But Broome was later to discover that she was not the only one with the same recollection of events.

Crowding-Out Effect

crowding-out-effect
The crowding-out effect occurs when public sector spending reduces spending in the private sector.

Bandwagon Effect

bandwagon-effect
The bandwagon effect tells us that the more a belief or idea has been adopted by more people within a group, the more the individual adoption of that idea might increase within the same group. This is the psychological effect that leads to herd mentality. What in marketing can be associated with social proof.

Moore’s Law

moores-law
Moore’s law states that the number of transistors on a microchip doubles approximately every two years. This observation was made by Intel co-founder Gordon Moore in 1965 and it become a guiding principle for the semiconductor industry and has had far-reaching implications for technology as a whole.

Disruptive Innovation

disruptive-innovation
Disruptive innovation as a term was first described by Clayton M. Christensen, an American academic and business consultant whom The Economist called “the most influential management thinker of his time.” Disruptive innovation describes the process by which a product or service takes hold at the bottom of a market and eventually displaces established competitors, products, firms, or alliances.

Value Migration

value-migration
Value migration was first described by author Adrian Slywotzky in his 1996 book Value Migration – How to Think Several Moves Ahead of the Competition. Value migration is the transferal of value-creating forces from outdated business models to something better able to satisfy consumer demands.

Bye-Now Effect

bye-now-effect
The bye-now effect describes the tendency for consumers to think of the word “buy” when they read the word “bye”. In a study that tracked diners at a name-your-own-price restaurant, each diner was asked to read one of two phrases before ordering their meal. The first phrase, “so long”, resulted in diners paying an average of $32 per meal. But when diners recited the phrase “bye bye” before ordering, the average price per meal rose to $45.

Groupthink

groupthink
Groupthink occurs when well-intentioned individuals make non-optimal or irrational decisions based on a belief that dissent is impossible or on a motivation to conform. Groupthink occurs when members of a group reach a consensus without critical reasoning or evaluation of the alternatives and their consequences.

Stereotyping

stereotyping
A stereotype is a fixed and over-generalized belief about a particular group or class of people. These beliefs are based on the false assumption that certain characteristics are common to every individual residing in that group. Many stereotypes have a long and sometimes controversial history and are a direct consequence of various political, social, or economic events. Stereotyping is the process of making assumptions about a person or group of people based on various attributes, including gender, race, religion, or physical traits.

Murphy’s Law

murphys-law
Murphy’s Law states that if anything can go wrong, it will go wrong. Murphy’s Law was named after aerospace engineer Edward A. Murphy. During his time working at Edwards Air Force Base in 1949, Murphy cursed a technician who had improperly wired an electrical component and said, “If there is any way to do it wrong, he’ll find it.”

Law of Unintended Consequences

law-of-unintended-consequences
The law of unintended consequences was first mentioned by British philosopher John Locke when writing to parliament about the unintended effects of interest rate rises. However, it was popularized in 1936 by American sociologist Robert K. Merton who looked at unexpected, unanticipated, and unintended consequences and their impact on society.

Fundamental Attribution Error

fundamental-attribution-error
Fundamental attribution error is a bias people display when judging the behavior of others. The tendency is to over-emphasize personal characteristics and under-emphasize environmental and situational factors.

Outcome Bias

outcome-bias
Outcome bias describes a tendency to evaluate a decision based on its outcome and not on the process by which the decision was reached. In other words, the quality of a decision is only determined once the outcome is known. Outcome bias occurs when a decision is based on the outcome of previous events without regard for how those events developed.

Hindsight Bias

hindsight-bias
Hindsight bias is the tendency for people to perceive past events as more predictable than they actually were. The result of a presidential election, for example, seems more obvious when the winner is announced. The same can also be said for the avid sports fan who predicted the correct outcome of a match regardless of whether their team won or lost. Hindsight bias, therefore, is the tendency for an individual to convince themselves that they accurately predicted an event before it happened.

Read Next: BiasesBounded RationalityMandela EffectDunning-Kruger EffectLindy EffectCrowding Out EffectBandwagon Effect.

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