Identifying Bias and its impact

Lesson 1 Confirmation BIAS

Sources of Bias

Beliefs are often formed irrationally due to biases, where individuals may favor a particular conclusion despite insufficient evidence.

Biases can stem from various sources:

  • personal experiences,

  • desires

"principle of charity" suggests interpreting others' reasoning in the best possible light before assuming bias. Awareness of common sources of bias can help individuals identify and mitigate these influences on their beliefs and decision-making processes.

"It is morally right to give others the benefit of the doubt." is correct. We should interpret others charitably just as we would want others to give us the benefit of the doubt.

"It allows for a clearer understanding of the issue." is correct. Interpreting an opponent’s argument to make it as defensible as possible helps us see the issue under debate from a new perspective.

Example”

Which passage best demonstrates the principle of charity?

Shae said, "It seems that the earth is flat." Shae must mean that the earth looks flat to observers on the ground even though our planet really is round.

Morgan said, "The new tax levy to support local schools is too expensive." Morgan must think education is unimportant.

Reese said, "The oil industry has contributed to climate change." Reese must believe the oil industry is responsible for every natural disaster that occurs.

Campbell said, "People convicted of theft should not automatically receive harsh prison sentences." Campbell must mean that people who steal should never be punished.

correct

Answer

Correct:

Instead of assuming Shae is making the demonstrably false claim that the earth actually is flat, Shae’s claim is interpreted in a way that makes it not only defensible but true.

Confirmation Bias
Our minds tend to seek out evidence that supports our beliefs and ignore evidence that challenges them. This natural tendency is called confirmation bias.

Key Points:

  • We often stick to our beliefs and look for evidence to support them.

  • We're less likely to question evidence that aligns with what we already believe.

  • We're more critical of evidence that goes against our beliefs.

Cognitive bias: The way we naturally categorize and make sense of the world around us.

Alief: An automatic belief-like attitude that can explain how our instinctual responses can conflict with our reasoned-out beliefs.  

Lesson 2.2: Mental Heuristics

Heuristics

Heuristics are rules of thumb or shortcuts that generally help us make decisions quickly and efficiently, even if they don't always lead to the best outcomes..

Bounded Rationality Behavioral economics introduces the concept of bounded rationality, which acknowledges that people don't always make perfectly optimal decisions. Instead, they make the best choices they can with limited time, energy, and information. This approach is called "satisficing," where decisions are good enough to meet our needs without being perfect.

In summary, while classical economics sees poor decisions as irr

Lesson 2.3: Representativeness and Anchors

What is the Representativeness Heuristic? The representativeness heuristic is a mental shortcut we use to understand new situations by comparing them to familiar prototypes stored in our memory.

Benefits and Risks

  • Benefits: This heuristic can be very useful and even life-saving in some situations by helping us make quick and accurate predictions.

  • Risks: It can also lead to problematic thinking, such as prejudiced judgments based on unfair or inaccurate prototypes.

  • it can also lead to biases and manipulation if we rely too heavily on inaccurate prototypes.

Anchoring influences our decision-making by providing a reference point, from which we make incremental adjustments rather than considering a wide range of possibilities. This bias is common in various contexts, such as shopping for clothes or selecting paint colors, where the initial option seen influences subsequent choices.

Anchoring and adjustment is a cognitive bias where individuals rely heavily on the first piece of information (the "anchor") they receive when making decisions, and adjust their estimates or judgments around this anchor. This tendency persists even if the anchor is arbitrary or not based on factual information.

Availability heuristic means that people generalize based on the information readily available to them, rather than objective truth. When online content is selectively presented, this heuristic can lead to biased generalizations. For example, if you believe a stereotype and see supporting examples online, you may reinforce this belief due to the selective data shown to you, rather than an objective view of reality. ,relies on readily available memories to make judgments,

Key Terms

  • Heuristic: A rule of thumb, a ready strategy, or a shortcut

  • Algorithm bubble: The curated and personalized version of online reality that a website shows you when you log on. 

  • Availability heuristic: A process where in the mind generalizes based on what is available to it rather than on what is objectively true. 

Lesson 2: Summary

Take a moment to reflect on what you have learned (10 minutes):

  • Cognitive bias refers to the systemic ways in which people categorize and make sense of the world to make judgments and decisions.

  • Alief is an automatic belief-like attitude that can explain how our instinctual responses can conflict with our reasoned-out beliefs. 

  • Anchoring is the human tendency to stick close to the first piece of information we have about a new domain (even if it is not presented as a fact).

  • Heuristics means a rule of thumb, a ready strategy, or a shortcut.

  • Representativeness heuristic is a cognitive bias in which an individual categorizes a new situation based on nearest prototype or representative experience in their mind.

  • Availability heuristic is a cognitive bias in which an individual takes available information while not seeking out or considering unknown information resulting in a person jumping to conclusions.

Lesson 3.1: Statistical Reasoning

Statistical reasoning involves using data to make conclusions about a larger group. Here's a simple explanation of what it is and common mistakes people make.

Choosing the Right Sample

To make accurate generalizations, your sample must be:

  1. Random: The selection process shouldn't favor any group.

  2. Representative: The sample should reflect the diversity of the whole population.

Lesson 3.2: Selection Bias and Selective Reporting

Selection bias is a problem that can affect how we understand statistics and causality. It happens when the sample we study isn't representative of the whole population.

Self-selection: This is a type of selection bias where individuals select themselves into a group, causing a biased sample.


Selection Bias

Selection bias occurs when a sample is selected in such a way that it is not representative of the target population.

Selection bias is a problem that can affect how we understand statistics and causality. It happens when the sample we study isn't representative of the whole population.

Self-selection: This is a type of selection bias where individuals select themselves into a group, causing a biased sample.

Selective Reporting: This involves presenting the same data in different ways to influence how people perceive the information.

  • Example 1: Cost of Feeding the Homeless

    • "$50 million a year" sounds huge, but ".0001% of the Pentagon's budget" sounds small.

Which type of generalization is rationally acceptable? A generalization based on an adequate number of relevant cases