Affirming the consequent
Survivorship Bias
Case Study
100

If A, then B. B is true, therefore A....

A must be true.

100

Which entrepreneur is often used to justify risky dropout decisions?

Bill Gates or Steve Jobs.

100

If our new ad campaign works, profits will rise. Profits rose, so the campaign must have worked. Which bias is this?

Affirming the consequent bias.

200

What is the definition of affirming the consequent?

Bias that occurs when someone assumes the initial cause must be true, for the sole reason that an outcome has taken place.

200

What is survivorship bias?

Survivorship bias happens when we only focus on successful examples and ignore failures, which leads to distorted conclusions about what causes success.

200

In the manager example, what assumption is made when productivity increases?

That employees must be satisfied just because productivity went up.

300

Why is affirming the consequent considered illogical?

Because just because a result is true doesn’t mean the original condition caused it.

300

What mistake is made when someone studies only successful startups?

They assume the habits of successful startups caused success and ignore failed ones with the same habits.

300

What is logically wrong with the manager’s reasoning?

The manager confuses correlation with causation, higher productivity doesn’t necessarily mean employees are happy.

400

In medicine, how might affirming the consequent appear?

If someone has COVID, they have a fever, therefore, if someone has a fever, they must have COVID.

400

Why did the WWII engineers’ decision to reinforce bullet-hit areas on returning planes show flawed reasoning?

Because they were only studying the planes that survived, ignoring the ones that were shot down.

400

According to the “If Productivity Increased” case, what other explanations could there be for higher productivity?

Stricter supervision, new incentives, or automation rather than real job satisfaction.

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