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.

Equivocation: Playing hide-and-seek in communication

When what someone says can be interpreted in multiple ways, we are in danger of coming to an understanding which is different to their intended message.

Non Sequitur: A forced conclusion is not really a conclusion

Needing to process a multitude of complex information in a short amount of time can lead to erroneous reasoning. When a conclusion is supported by weak or irrelevant arguments, the reasoning falls into the category called non sequitur—does not follow, or irrelevant argument.

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

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

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.

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.

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.

No matter what we do, we are merely puppets on a string. True or false?

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.

The end of the world, overlooked by philosophy

"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)

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.

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.

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.

In the world of “what if” | Why we are drawn to counterfactual thinking

The ability to imagine alternatives to events that have already occurred distinguishes humans from other creatures and machines—artificial intelligence has not yet succeeded in creating a device that can devise counterfactual scenarios. The fact that we can travel in an imaginary time and rewrite our actions and their outcomes can prove to be an advantage or can lead to dysfunctional emotional and cognitive...

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 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.