That’s right…because deciding whether or not raising the probability of a hypothesis beyond 50% actually occurs first depends on deciding whether or not induction is a reliable source of reasoning for all cases, within which only a very limited amount we’ve actually found to “work.” Induction, in turn, relies on the assumption that nature is uniform. And this is the very assumption you are presupposing, *not *establishing, by arguing that CLT supports inductive reasoning. So CLT depends on an assumption which has NEVER been empirically established!
I am trying to touch on all of your points in this segment.
First, I asked you a question:
You assume that there is a “soft, plastic layer” in reality, which prevents us from making a correct assessment of part of reality. What is the reason for this assumption? What are the supporting pieces of evidence for it? Or are you just speculating?
You neglected to answer this, and instead you threw back the question at me:
By the same token, what is your reason for your assumption that everything in the box is equally accessible? What evidence did you provide me for thinking this is true? Are you just speculating?
In my circles it is bad form to refuse to answer and instead asking the same question back. If you **had **answered the question, and **then **asked it back, it would have been perfectly all right. I have observed that you guys use this “technique” every time when you are unable to provide an answer. It just gives the impression of dodging, to hide the fact, that you have nothing to say.
To answer your specific example: I am not allowed to peek into the box, but I am allowed to put my hands into it. Therefore I am able to count the balls and see if there really are one thousand balls in them or only a hundred. If I count a thousand, then my analysis is correct. If I can count only a hundred, then you are exposed as a cheat.
However, I am going to answer yours. The reason is the same as before. I
trust my senses, and I
trust the much maligned
principle of ***accepting ***the uniformity of nature. The reason for this trust is that the principle has never let me (or anyone else) down. What reason do you have for your mistrust? By the way, your mistrust is only in your words, not in your actions. I am willing to bet (again!) that you would never put your hand into a hot flame and “hope” that
this time the flame will not burn you. You count on the uniformity of nature just as much as I do (and everyone else does).
So, again, and this time, please answer me: “what are your specific reasons to assume that it is
possible that nature is not uniform”?
You also said:
Though I am not a mathematician, the numbers don’t scare me because I already understand how the concpet works.
There is no reason to be “scared”. But don’t assume that reading a few pages on the net will give you qualification to speak of complex mathematical concepts - which take years to master. First, the Central Limit Theorems (observe the plural) are pure mathematical theorems - and there are quite a few of them. Indeed the one mentioned in the quoted articles is the most well-known, because it offers a great insight into the strange and beautiful fact that many, small independent variables will result in a normal distribution. But there are other ones, too, less known, but equally well established.
Then you say:
No, it doesn’t “prove” anything. You say the CLT is a way of “proving” our undertaking experiments to achieve increased certainty are justified. Ok, so CLT justifies what we think is a reliable way of achieving degrees of certainty.
But how do we know CTL itself is empirically justified? It’s apparent you are presupposing some undefined notion of what constitutes “reasonable empirical belief” here. So why is it empirically reasonable to believe that CLT itself is empirically justified?
You gotta be kidding. Why and how could and should a purely mathematical theorem be
empirically verified? You may dispute that the
application of the theorem needs to be substantiated, but the theorem itself is beyond dispute. However, if you wish to say that this particular theorem is not applicable, you should give reasons for that assertion.
In the answer I gave you to your 1000 balls question I showed you the result (pure, mathematical result) that the more experiments we perform, the smaller the discrepancy we find. That is undisputable again - and it **proves **the principle that increasing the number of experiments will decrease the uncertainty. This mathematical proof can be
verified by actually undertaking the experiments - which was done, many times. But such verification is not really necessary. One does not dispute that all even numbers are divisible by two, just because it is impossible to verify empirically that all even numbers are actually divisible by two.
To be continued below: