biases Flashcards

1
Q

Anchoring Bias

A

People are over reliant on the first piece of info they hear. In a salary negotiation, whoever makes the first offer establishes a range of reasonable possibilities in each person mind.

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2
Q

Availability Heuristic

A

People overestimate the importance of info that is available to them. Aperson might argue that smoking is not unhealthy becuase they know someone who lived to 100 and smoked 3 packs a day

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3
Q

bandwagon Effect

A

The porbability of one person adopting a belief increases based on the number of people who hold the belief. This is a powerful form of groupthink and is reason why meetings are often unproductive.

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4
Q

blind spot bias

A

failing to recognize your own cognitive biases is a bias in itself. People notice cognitive and motivational biases much more in others than in themselves.

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5
Q

Choice supportive ideas

A

when you choose something you tend to feel postive about it. even if that choice has flaws. Like how you thing your dog is awesome even if it bites someone.

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6
Q

Clustering illusion

A

This is the tendency to see patterns in random events. It is key to various gambling fallacies, like the idea that red is more or less likely to turn up on a roulette table after a string of reds.

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7
Q

Confirmation bias

A

We tend to listen only to info that confirms out preconceptions- pne of the many reasons it so hard to have an intelligent conversation about climate change

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8
Q

conservatism bias

A

where people favor prior evidence over new evidence or info that has emerged. People were slow to accept that the earth was round because they maintained their earlier understanding that the planet was flat

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9
Q

information bias

A

the tendency to seek info when it does not affect action. More info is not always better. With less info, people can often make more accurate predictions.

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10
Q

Ostrich effect

A

the decision to ignore dangerous or negative info by buring one head in the sand, like an ostrich. Research suggest that investors check the value of their holding significantly less often during bad markets.

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11
Q

Outcome bias

A

Judging a decision based on the outcome. Rather that how exactly the decision was made in the moment. Just because you won a lot in vegas doesn’t mean gambling your money was smart decision.

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12
Q

Overconfidence

A

Some of us are too confident about our abilities, and this cause us to take greater risks in our daily lives. Experts are more prone to this bias than laypeople, since they are more convinces that they are right.

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13
Q

Placebo Effect

A

when simply believing that something will have a certain effect on you cause it to have that efffect. In medicine, people given fake pills often experience the same physiological effects as people given the real thing.

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14
Q

Pro-innovation bias

A

When an proponent of an innovation tends to overvalue its usefulness and undervalues its limitations. Sounds familiar, silicon valley?

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15
Q

Recency

A

The tendency to weigh the latest info more heavily than the older data. Investors often thing the market will always look the way it looks today and make unwise decisions.

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16
Q

Salience

A

Our tendency to focus on the most easily recognizable features of a person or concept when you think about dying, you might worry about being mauled by a lion as opposed to what is statistically more likely, like dying in a car accident.

17
Q

Selective perception

A

Allowing our expectations to influence how we perceive the world. An experiment involving a football game between students from two universities shows that one team saw the opposing team commit for infractions.

18
Q

Sterotyping

A

Expecting a group or person to have a certain qualities without having a real info about the person. It allows us to quickly identity strangers as friends or enemies, but people tend to overuse and abuse it.

19
Q

Survivorship bias

A

An error that comes form focusing only on the surviving examples, causing us to misjudge a situation. For instance, we might thing that being an entrepreneur is easy because we haven’t heard of all those who failed.

20
Q

Zero-risk bias

A

Sociologists have found that we love certainty- even if its counterproductive. Eliminating risk entirely means there is no chance of harm being caused/