TED-ED: Should you trust unanimous decisions? - Derek Abbott

TED-ED: Should you trust unanimous decisions? - Derek Abbott

Assessment

Interactive Video

Mathematics

KG - University

Hard

Created by

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The video explores the paradox of unanimity, where total agreement in decision-making can indicate errors or biases rather than certainty. It highlights the importance of considering uncertainty and variability, using examples like witness identifications and systematic errors in DNA evidence. The video concludes that while unanimity is ideal in low-uncertainty situations, it often signals hidden factors in complex scenarios.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the paradox of unanimity?

A concept that suggests unanimous decisions can be unreliable

A principle that states consensus is always beneficial

A situation where unanimous decisions are always correct

A theory that supports majority rule in all cases

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why might unanimous witness identifications be considered unreliable?

Because memory based on short glimpses can be faulty

Because identifications are as random as coin tosses

Because witnesses always have perfect memory

Because all witnesses are biased

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the issue with the DNA evidence in the Phantom of Heilbronn case?

The DNA was from multiple people

The DNA was never collected

The DNA was contaminated at the crime scene

The DNA was consistently wrong due to contamination at the factory

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a perfect result in a highly variable situation often indicate?

That all participants are in agreement

That there is likely a hidden factor affecting the system

That the result is definitely accurate

That the system is functioning perfectly

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In what type of situations is unanimous agreement theoretically ideal?

In situations where disagreement is expected

In situations with low odds of variability and uncertainty

In all situations regardless of variability

In situations with high variability and uncertainty