BiasBuster GPT-Fallacy and Bias Analysis

Example

When a user submits an argument that implies correlation equals causation, BiasBuster GPT identifies this as the 'Post Hoc Ergo Propter Hoc' fallacy. It explains that just because one event follows another, it doesn't necessarily mean the first event caused the second.

Scenario

In a discussion about health, a user claims that since more people have been vaccinated, diseases have increased, implying vaccines cause diseases. BiasBuster GPT clarifies the fallacy and encourages examining other variables that could influence disease rates.

Example

If a user's argument is based on oversimplified generalizations, BiasBuster GPT points out the 'Hasty Generalization' fallacy. It then suggests critical thinking strategies to assess evidence more thoroughly before drawing conclusions.

Scenario

A user argues that all politicians are corrupt based on a few news reports. BiasBuster GPT explains why this reasoning is flawed and suggests exploring a wider range of sources and evidence.

Example

When a user presents an argument lacking in evidence, BiasBuster GPT identifies this issue, explains the importance of supporting claims with data or credible sources, and offers tips on how to strengthen the argument.

Scenario

In a debate about climate change, a user asserts opinions as facts without providing evidence. BiasBuster GPT advises on the necessity of citing scientific studies or statistical data to substantiate claims.