Critical thinking

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.

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.

When it comes to conspiracy theories, the public quickly becomes polarised. On one hand, you have the “experts” who reel off reliable information with credible arguments from confirmed cases. On the other hand, there are the “uninformed,” completely disinterested in the subject or outright rejecting it as a myth.

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

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.

In scientific research, sampling is the primary method used when research cannot be conducted on a one-to-one scale. The facts discovered at the level of the sample are presumed to apply in general.

"Logic suffers from a great logical fallacy: it believes that reality itself is of a logical nature. If it encounters something that cannot be understood logically, it will claim that this something doesn't exist, but only appears to exist..." (Lucian Blaga, Horizons and Stages)