The Truth Of The Statistics And Computer Science Essay

825 Words Nov 1st, 2016 4 Pages
1. Empirical sciences are sciences that make assertions “the truth of which is dependent on the world”, they use our senses, either observations about the world or experiments (not always possible, we cannot create all the situations needed) to come to a claim. For example, statistics and computer science are not empirical sciences, because their truth is not dependent on what the world is like. They are true regardless of what is happening in the world, it has nothing to do with how the world behaves, because our observations will not change the truth of the statistics and computer science. This is the case, because the truths that come from them are a priori, they are not dependent upon observations and experiments and so we only rely on reason to know they are true and we do not need the real world experience or observations to justify them.
2. When something is genuinely scientific, when it is challenged by empirical evidence, they put themselves at risk of failure and the success is proven not from explanations but from the power of confirmation of these challenges, they test themselves and fight to remain supreme. Pseudo-science on the other hand avoids challenges, so that is never at risk and relies on the power of explanations, so they are in essence saving the theories from failure and refuse to let them go. The criterion of falsifiability is the “mark of true sciences” according to Popper: “a truly scientific theory has to be falsifiable, which means that it is…

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