So here's a crash course on rational thought (and this thing called 'Bayes Theorem' that I keep mentioning. :) ) I've wanted to write this for ages. Firstly, remember that science can never prove something 100% true - though it *can* prove something wrong. This all goes back to people like Wittgenstein and Popper, but it's a pretty obvious fact because it's impossible to gather all the measurements about the world that could ever be taken. So (as long as we're proving a theory by testing it with experiments) we can never know if our theory is 100% correct - just that it explains the world as we know it so far. For example, it may be true that gravity doesn't always pull objects to the ground but, due to some bizarre law of physics, it actually pushes them away on every fourth Thursday of the month from 1st January 2050 onwards. Of course, we can't take that measurement, so we're left to putting forward our best (and simplest) proposition so far and going out to gather as much evidence as possible to see if it's right. The simplest theory is that gravity works exactly the same at every point in space and time as it does right here, right now. We (so far) have no evidence whatsoever to the contrary (well... maybe a few very tiny shreds, but nothing that couldn't be explained a number of different ways). Incidentally, we prefer the simplest theory possible because of something called "Occam's razor". Look it up on Wikipedia - the article is quite good. This is why our law of gravity doesn't include the posibility that gravity will start working differently in 44 years time - even though the effects of that version would be absolutely identical to the basic version if we were to measure it now. So where was I? Oh yes - Bayes. Well all these arguments we've been having (Emoto, Steorn, Qlink etc.) have come down to a very simple situation where there's one established theorem which is supported by a lot of existing evidence, (but may also have some holes in it) and a new, radical idea, which seems to undermine that theorem (and may have some evidence to support it). So, as I said, science looks at evidence and works out what is the most likely theory based on what the evidence supports. In this simple case, we have two theories, call them Theory 1 (the original, established one) and Theory 2 (the new one). There is a lot of evidence already in the world. Some of it supports each theorem, some supports both, some neither. The evidence that supports both equally well is of no use in determining which is right - though it does give us more confident that BOTH theorems are more likely than any other third possibility that does not explain this evidence. The evidence that is not explained by either theory is a bit of a thorn - if this is extensive then we may need to abandon both theories. But usually there's very little (or none) of this. Either way, it doesn't help us to distinguish between Theory 1 and Theory 2. So then we come to the rest of the evidence. Firstly, we have a whole load of evidence that supports the old theory, but which would not support the new one. Call this "Exhibit A". We also have some evidence (perhaps existing evidence that was never properly explained, or perhaps new evidence generated specifically to support Theory 2) which supports Theory 2 but not the old Theory 1. Call this "Exhibit B". So, to sum up: We have Theory 1, the established theory, which is supported by Exhibit A, and countered by Exhibit B. We have Theory 2, the new theory, which is supported by Exhibit B, and countered by Exhibit A. We also have a whole load of evidence which supports both or neither of the theories. Bayes' Theorem tells us this: We can examine both bodies of evidence, Exhibits A & B, and take into account the fact that some of it may be biased, incorrectly measured, etc. Some of it may very strongly support one theory and some might not. Some might very strongly deny one theory and some might not. Once we add all this together, then we end up with a winner. Either Theory 1 stands firm, or it is usurped by the newcomer, Theory 2. In most cases, one of the two bodies of evidence, Exhibit A or B, is WAY larger than the other. If not then we might have to do more experiments to see which is more likely. Or, if we still can't decide, then we may have to throw away the way we think science works and rewrite it completely. This is what Schrodinger did with wave/particle duality in quantum physics, if you know about that. Times when we've discarded Theory 1: - Copernicus' theory of geocentricism (vs. Heliocentrism) - The round Earth theory (vs. flat Earth) - Darwinism (vs. Creationism) Times when we've discarded Theory 2 and kept the established one: - 1,000,001 random conspiracy theories (vs. many established theories) - Steady state theory of the Universe (vs. expanding Universe of LeMaitre) Times when we've kept both and rewritten physics - Wave / Particle duality of quantum physics Times when we've realised that both were wrong - Can't think of any. I guess this is pretty rare. That is scientific method. It relies on putting forward theories that are provable AND falsifiable (i.e. it is possible to disprove them). It relies on peer review (where different scientists can compete to provide evidence for or against each theory - and objectively examine the methods taken by their peers) and it relies on a rigorous standard of scientific testing ('double blind, placebo controlled tests' etc. : removing all possibility of bias, systematic error and cheating from the results.) So, let's take a theory like the conservation of energy, which is violated by this Steorn device. Conservation of energy, the most fundamental law of thermodynamics, has been known since the 19th century (formally) and, of course, has been empirically tested trillions of times by every human being alive back to the beginning of time. (e.g. every time you drop a bouncy ball, it bounces less high than the place you dropped it from; objects do not float in mid-air unaided; logs do not burn indefinitely). So all of that evidence would be in favour of Theory 1. Now, much of it is also in favour of Theory 2 (of course, they aren't saying anything about the conservation of energy overall - just in this one special case) but remember we also have Occam's razor, which says that "In order for us to believe a spurious number of extra clauses in a theory then we'd better have a very good reason for it." i.e. we don't speculate that gravity might work differently from 2050 onwards - not because we can prove it won't, but simply because we have no reason to believe that it might, and it would require an extraordinary level of extra complexity to modify our laws of the Universe to incorporate that. If someone wants to propose that theory then they'd better have a bucketload of evidence to support it. So we have a lot of evidence in favour of theory 1 which, if we're being sensible, is not at all in favour of theory 2. No evidence has ever (EVER!) been found to show that Theory 1 may be flawed. So, in order to disprove theory 1 (conservation of energy), we would need to find at least one example - and preferably several CAST IRON ROCK SOLID examples - of scientific experiments proving beyond any suspicion of doubt that Theory 1 is wrong. And for those experiments to be admissable, (just like in court), we can't just take the hearsay of someone who claims them, and who stands to benefit from them, but instead we must take the time to do a proper, rigorous investigation of that theory to avoid bias and error. Now this takes time and money, of course. So scientists fall back to Bayes' theorem again. The best theory is the one supported by most data. So, with something like conservation of energy, which has *never* been shown to be false, (despite millennia of trying) and which is an absolute cornerstone of all modern science, one might be forgiven for not going anywhere near Steorn with a bargepole until they provide some *VERY* convincing evidence (Exhibit B) to support themselves. Then (and only then) will anyone in the scientific community, with the exception of a few of the wackier ones, listen. Does that make any sense? I've never explained that to anyone before - it's just sort of part of my way of thinking after so many years of study. But I think it was reasonably clear. :)