Appealing to authority: an expensive logical mistake

In everyday life, whether we like it or not, we rely on the information provided by experts or specialists. However, no authority deserves blind trust. When we take someone's word for granted simply because that person is an authority, we make the logical mistake called "appeal to authority."

Reading polls: How do we evaluate surveys carefully?

Many news programmes, speeches, or press articles refer to at least one poll. When designed and conducted well, polls are an excellent means of measuring public opinion on a particular topic. Unfortunately, not all surveys are well compiled, relevant, representative, or honest.

The biased sample: why science should not be practised on friends

The biased sample is a kind of unrepresentative sample, either for quantitative reasons (as is the case with the too-small sample), or for qualitative ones, when its structure does not represent the structure of the real population that is the object of the research.

Manipulation: when disinformers believe in us

When we think we are immune to disinformation, we become easy prey for those who manipulate us.

How to build valid arguments

Arguments must be convincing and, in order to convince, they must be valid—the minimum requirement of persuasion.

Appeal to popularity. What explains the popularity of an error?

When we consider that a conclusion is founded only if a lot of people consider it true, we fall into the trap of the argumentum ad populum or the appeal to popularity.

The most arrogant of all sophisms: the false accusation of logical error

In practice, people often accuse each other of making logical errors, but sometimes the accusation is false. Such an accusation is made by someone who does not understand what logical fallacies are and how they work, or by a manipulative person who takes advantage of the ignorance of those in the first category.

Conspiracy theories, fake news and the truth that “sets us free”

Conspiracy theories and fake news are not the same thing, although the two categories have much in common.

The false analogy: when the apple insists on being a pear

The false analogy or the faulty analogy consists of the incorrect use of the analogy argumentative scheme without first meeting the requirements of a correct comparison.

The applications and pitfalls of critical thinking

Critical thinking is not a cure-all, but it proves very useful in dealing with, clarifying, and solving some decision-making problems, as well as the thought and belief disputes which occupy our minds.

Accurate statistics and faulty interpreters

Even the most rigorously researched statistics are not immune from misinterpretation, and they can often be used in a way that obscures the truth.

How to make sure we have a rational faith

Fundamentalist movements, extremist and sectarian religious beliefs, manipulations of the mass of believers, conspiracy theories within religious sects, and other such threats, emphasise the need for critical thinking.

Biased statistics and false truths

A few years ago, the American Statistical Association carried out research on the history of statistics, tracing their use throughout the course of human society’s development. The results of the study are displayed in the form of a chart called the Timeline of statistics, available on the association's website.

Thinking errors: What do we do with destructive thought patterns?

What we think about ourselves, over time, becomes our reality. This is a good enough reason to identify thinking errors left running in the background and to seek out strategies for healthier thinking.

Hasty generalisations: Jumping from one to all, and from once to always

We use our experience and knowledge to understand what is unknown or inaccessible to us. We are attracted to patterns and judge the world in terms of what is already familiar to us. However, out of a desire to understand some things more quickly, we often draw conclusions without sufficient evidence. Thus we fall into the trap of the sophism called hasty generalization.