Sorry for your lack of comprehensive skills. I will try to speak as if you are 10 years old, as that may be the only way you can keep up.
"Comprehensive," as you use the word is an adjective means "general, overall, full, broad or complete," perhaps you meant to refer to my ," reading comprehension?" That 's an entirely different matter.
So your scientific practice is informal and undignified. Got it.
Field work is usually both. If you were a scientist, you'd understand that.
Good luck supporting that assertion.
My guess is that you're not much up on the theory of science and that you're not overly familiar with Karl Popper's work.
Here's Satoshi Kanazawa writing in
Psychology Today:
Proofs exist only in mathematics and logic, not in science. Mathematics and logic are both closed, self-contained systems of propositions, whereas science is empirical and deals with nature as it exists. The primary criterion and standard of evaluation of scientific theory is evidence, not proof. All else equal (such as internal logical consistency and parsimony), scientists prefer theories for which there is more and better evidence to theories for which there is less and worse evidence. Proofs are not the currency of science.
Proofs have two features that do not exist in science: They are
final, and they are
binary. Once a theorem is proven, it will forever be true and there will be nothing in the future that will threaten its status as a proven theorem (unless a flaw is discovered in the proof). Apart from a discovery of an error, a proven theorem will forever and always be a proven theorem.
In contrast, all scientific knowledge is
tentative and
provisional, and nothing is final. There is no such thing as final proven knowledge in science. The currently accepted theory of a phenomenon is simply the best explanation for it
among all available alternatives. Its status as the accepted theory is contingent on what other theories are available and might suddenly change tomorrow if there appears a better theory or new evidence that might challenge the accepted theory. No knowledge or theory (which embodies scientific knowledge) is final. That, by the way, is why science is so much fun.
Further, proofs, like
pregnancy, are binary; a mathematical proposition is either proven (in which case it becomes a theorem) or not (in which case it remains a conjecture until it is proven). There is nothing in between. A theorem cannot be kind of proven or almost proven. These are the same as unproven.
In contrast, there is no such binary evaluation of scientific theories. Scientific theories are neither absolutely false nor absolutely true. They are always somewhere in between. Some theories are better, more credible, and more accepted than others. There is always more, more credible, and better evidence for some theories than others. It is a matter of more or less, not either/or. For example, experimental evidence is better and more credible than correlational evidence, but even the former cannot prove a theory; it only provides very strong evidence for the theory and against its alternatives.
The knowledge that there is no such thing as a scientific proof should give you a very easy way to tell real scientists from hacks and wannabes. Real scientists never use the words “scientific proofs,” because they know no such thing exists. Anyone who uses the words “proof,” “prove” and “proven” in their discussion of science is not a real scientist.
The creationists and other critics of evolution are absolutely correct when they point out that evolution is “just a theory” and it is not “proven.” What they neglect to mention is that every thing in science is just a theory and is never proven. Unlike the Prime Number Theorem, which will absolutely and forever be true, it is still possible, albeit very, very, very, very, very unlikely, that the theory of evolution by natural and sexual selection may one day turn out to be false. But then again, it is also possible, albeit very, very, very, very, very unlikely, that monkeys will fly out of my *** tomorrow. In my judgment, both events are about equally likely.