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.
How to build valid arguments
Arguments must be convincing and, in order to convince, they must be valid—the minimum requirement of persuasion.
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.
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.
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."
The delicate burden of truth, or how to catch butterflies in a minefield
Even if we have not been to Eden, the longing for innocence draws us back to a time when we had not yet tasted the forbidden fruit.
Argumentum Ad Hominem or how you attack yourself when attacking others
In an argumentative discussion each party involved must be able to express their point of view without constraints, discrimination or other interferences. This is, in fact, an important prerequisite for the effort to overcome differences of opinion. In practice however, often things are far from this ideal. Not only do interlocutors not respect each other’s right to free speech, but they also resort...
Manipulation: when disinformers believe in us
When we think we are immune to disinformation, we become easy prey for those who manipulate us.
Everything relevant to know about the irrelevant conclusion
What we call an “irrelevant conclusion” is an argument that gives the impression of having something to do with an idea it aims to support, but which actually shifts attention to something else.
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.
How to think outside the box
"Happiness is not in the mere possession of money; it lies in the joy of achievement, in the thrill of creative effort." (Franklin Delano Roosevelt, US President)
The questionable cause fallacy: Correlation does not equal causation
The questionable cause fallacy, described by the Latin phrase cum hoc ergo propter hoc, is an error of thought which leads us to believe that one event causes another event simply because the two events occur simultaneously. This error can easily be reinforced if the simultaneity of the two events is often repeated.
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.
The false dilemma: Are there really only two choices?
The false dilemma fallacy presents an issue as if there are only two ways to solve it—often, two opposite ways—when, in fact, there are more ways than that. The conflict between the two ways presented is also false.
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.


























