¿Cómo detectar mentiras? Las Falacias (parte 2)

¿Cómo detectar mentiras? Las Falacias (parte 2)

Assessment

Interactive Video

Science

10th - 12th Grade

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial discusses various logical fallacies, including ad hominem, equivocation, selection of observations, and appeal to emotion. It explains how these fallacies are used in arguments, advertising, and politics to deceive or manipulate. By understanding these fallacies, viewers can better detect and resist them, leading to more reasoned decision-making.

Read more

7 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of learning to detect logical fallacies?

To improve memory retention

To avoid being deceived

To enhance mathematical skills

To increase vocabulary

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which fallacy involves attacking the person instead of the argument?

Slippery Slope

Red Herring

Straw Man

Argument ad Hominem

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the 'Argument ad Hominem' fallacy affect communication?

It enhances understanding

It prevents meaningful dialogue

It clarifies the argument

It strengthens the argument

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the issue with using a word in two different senses in an argument?

It leads to clearer communication

It strengthens the argument

It causes misunderstandings

It makes the argument more persuasive

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is anecdotal evidence?

Evidence based on expert opinions

Evidence based on statistical data

Evidence based on personal stories

Evidence based on scientific research

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is appeal to emotion commonly used in advertising?

It is easier to understand

It provides more data to the consumer

It is more effective in manipulating emotions

It is less effective than logical arguments

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a potential risk of relying on a small sample size in statistics?

It leads to biased conclusions

It ensures diverse opinions

It provides accurate results

It enhances the credibility of the data