Critical thinking

To make an argument by appealing to the novelty of an idea— to the innovation it brings to a certain area—is not necessarily wrong. The visionary thinker Alvin Toffler coined the wonderful phrase nostalgia for the future, referring to his appreciation of the adventure the future promises through the desire many of us have to merge with 'the new' that is still developing...

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.

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.

Do your best to present yourself to God as one approved, […] who correctly handles the word of truth. (2 Timothy 2:15)

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.

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."

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.

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.”

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.

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.

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.

When one wants to justify the harm one has done by saying that others have done the same or that this evil was only a reaction to the harm done by someone else, they commit the logical error of appealing to hypocrisy.

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.

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.