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 as self-defence

No one has ever seen a thought, not even a neurosurgeon. However, today we know more about the way we think than what we were able to visualise, yet still less than we would like to know.

Circular arguments: a vicious cycle of faulty logic

A circular argument is an argument forming part of a thesis which has not been established, but still needs to be argued for.

The anatomy of belief: Part 1 | When reason becomes just another emotion

Western societies pride themselves on their access to information. Compared to our predecessors, we seem to be the most informed generation to have ever lived on Earth. However, paradoxically, the more data we have access to, the harder it is to determine what is true and what is false.

Seduced by conspiracy theories

We live in a polarised world where conspiracy theories proliferate, but some people are more inclined than others to consume and propagate these theories rather than ignore or demystify them.

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.

Slippery slopes and anxious feet

The fact that we are able to anticipate most of the consequences of our actions is undoubtedly a blessing. However, we can also allow fear or over-cautiousness to make us anticipate events that are not likely to follow. This edges us toward a common error of judgement: the slippery slope.

The appeal to tradition or the risk of repeating history

In our everyday lives we ​​often resort to simply repeating what has been said or done before. But not everything that is old is authentic or correct. When we refer to tradition with full confidence that the way it was understood and acted on in the past is self-evident, we are committing the logical error of appealing to tradition, or false induction.

The straw man. An argument the size of a flash in the pan.

The moment we distort a person’s intention, statement, gesture or action for our own personal gain we are using, consciously or unconsciously, the straw man argument − a frequent fallacy.

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.

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 critically evaluate a text

Almost a century ago, writer Virginia Woolf noticed people’s tendency to approach books “with clouded and divided minds, asking fiction to be true, poetry to be false, biographies to be flattering and history to chime with prejudices.”

Two false oppositions: reason vs. faith and science vs. religion

"Intelligent, scientifically trained people no longer believe (or can no longer believe) in God."

Appeal to ignorance: Why it is useless to hide behind your finger

The appeal to ignorance (argumentum ad ignorantiam) is an error in thinking which argues that a conclusion is true because there is no evidence against it, or that a conclusion is false because there is no evidence in its favour.

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.