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dgruss23 introduced falsification in this Q&A thread, post #32:
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My own view is summarised in my response to drguss23's post: Quote:
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For example, does it describe how scientists 'do' science, even if only more-or-less? Or is it an unscientific notion, if only because it itself cannot be falsified (even in principle)? In addition to Mercury's anomalous perihelion*, let's consider the neutrino: the initial (beta decay?) observations could have been said to 'falsify energy conservation' (and, AFAIK, some folk said exactly that, despite being quite familiar with Noether's theorem). Several decades later a testable hypothesis ('neutrino') that was built on energy conservation was confirmed, by Reines and Cowan. For those involved in researching Mercury's orbit, or beta decay (and other neutrino-related stuff), prior to GR/{Reines and Cowan}, how helpful would statements such as "Newton's universal law of gravitation has been falsified" and "the law of conservation of energy has been falsified" have been? And in the case of collisionless CDM and MOND, how helpful is it that MOND was falsified before it was even written down^? * which remained 'anomalous' for how many decades? IIRC, at least the working life of an average scientist, twice over! ^ MOND is inconsistent with special relativity (SR), and SR has passed an enormous range of experimental and observational tests. |
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To say that "Newton's law of gravitation has been falsified." Not very useful at all. Most scientist know that they dont know everything. At least that was the way I was taught and the conclusion all my classmates came up with.
To say something is 'falsified' does not mean it is useless and should be tossed. Newtonian dynamics is virtually dead on for everything we can measure that doesnt involve a close approach to a stellar mass. As a side note, there should have been anomalous changes in sun grazing comets also. When you combine all the data, it shows that there is some effect due to mass on how orbits are shaped. Oddly enough, then someone put that bit of data into a theory, added in SR, and POOF, we had a pretty good explanation of the anomaly. Dark Matter is the same in many ways. First, like I have said here many times, the name Dark Matter is a placeholder showing that we dont have the slightest clue as to what it is. Now we call it cold, or warm or hot dark matter, because we have an idea from its behavoir as to the internal energy of whatever DM is. The thing is tho, that we still dont have the slightest clue what DM actually is. So, to say "predictions from computer models fail to live up to the realty provided by observations" is kinda pointless. We dont know how good the model is, because to some degree the model is a guess as to all the properties and distribution of DM. The thing is, even if we do get a pretty good idea of what DM is, that dosent mean the theory is perfect. Going back to the GR example, we still havent detected gravity waves directly. Should the current or next generation of detectors not find any, then GR will have a problem. Either the calculated intensity of the waves is off, or mayber there is something that damps them in space, or maybe our understanding of the experiment is bad. That doesnt mean we toss GR by the wayside any more than we tossed Newtonian dynamics. It only means that a new theory will need to be made that explains things better. |
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What falsification is meant to protect against is hypothesis that can only ever give “it’s true” for an answer. For example in another recent thread rtomes came up with thy hypothesis that the last 150 year of climate data can be explained by 4 overlapping climate cycles, but he gave no independent evidence for choosing those cycles and simply searched until he found 4 that gave him the match he wanted. The problem here is that you can always find 4 overlapping sine waves that will match almost any climate pattern. There was never a chance that he would not be able to produce something that worked so the fact he did meant nothing. If it is never possible for a hypothesis to fail, then it’s success means nothing, that’s what falsification is about. |
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lomiller1, for example, has pointed out that it has merit as a criterion for deciding whether a hypothesis is within the scope of science or not (if the hypothesis is not, even potentially, falsifiable, then it can't be science). korjik pointed out that a theory being falsified by a single experimental result (even if independently verified) doesn't mean that theory is necessarily abandoned; he also highlighted a very interesting aspect: domain of applicability (Newtonian gravity is just fine for a wide range of circumstances and applications, for example, despite its being comprehensively falsified in other domains). |
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To say that "Y is falsified by set of observations X" in my opinion is very useful when Y is generally considered as not yet falsified. However, Nereid's attitude in this matter seems to be something like we should only talk about observation set X as a problem for Y if we already know how to fix Y so that X is not a problem for it anymore. That's somewhat similar to the situation where I would take my bicycle to repair shop but I wouldn't be allowed to tell them what's the problem if I myself wouldn't know how to fix it. I'm not much of a fan of this current trend of going from "truth" to "truth", i.e. we consider one theory to be "truth" and we only abandon that theory if we have another theory which we can start considering as "truth". I would be quite happy to be officially in "we don't know" state, and just look for more observations to quide us, and perhaps do some low level hypothesizing.
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"Stupidity gets denser in a crowd" - Old Finnish saying. [My website and My BLOG] [Nimblebrain forums] |
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a) if something has been 'around' (in textbooks, etc) for a long time ("centuries"), that somehow makes it more immune to falsification; b) if the something is, or could be, called a "theory"*, it gets to hang on longer in the face of (good, independently verified) observations that falsify it c) 'falsification' cannot be applied retroactively, it can only be used for things within the last generation or so (~30 years). In the context of "collisionless CDM", korjik's and lomiller1's remarks align quite nicely with yours Ari Jokimaki: "collisionless CDM" is neither vegetable nor mineral (there are, no doubt, whole classes of potentially falsifiable hypotheses that could be called "collisionless CDM", and the only 'theory' that comes even close isn't even called such ... LCDM cosmological models contain 'non-baryonic CDM', but its properties are extremely poorly constrained at the galaxy and kpc level, and below). Quote:
Let's replace 'falsify' with 'rule out', and add some riders concerning quantitative measures of how inconsistent a hypothesis is with (good, independently verified) observations. In this case {observations X} can rule out {hypothesis Y}, at the n sigma level (or something similar). All well and good. But what do you do on Monday, when you go to the lab? Y is dead, how do you go about formulating another falsifiable hypothesis? After all, it doesn't make much sense to ask for a million seconds of HST time if you have no idea where you're going to point it, what instruments you're going to use, and so on (let alone how you will use the data from those million seconds of observing to test something). Back to beta decay: what status should we give the 'law' of conservation of energy, between the first discovery of 'missing energy' in such decays and 1957? Or, more up to date, between Davis' first solar neutrino results and the discovery of neutrino oscillations, what (if anything) could have been said to have been falsified (by Davis' results)? solar models? the whole of the Standard Model of particle physics? And after neutrino oscillations were discovered, did one or other theory/model/etc become 'unfalsified'? After all, 'falsification' isn't a terribly useful concept if its scope of applicability is highly ambiguous (or, worse, arbitrary or undefinable), don't you think? * or, even better in the case of Newtonian gravity, a "law"! |
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There was alot of waiting with baited breath between the neutrino being postulated and it being detected. That was a very clear cut situation of is conservation a law or not. Neutrino oscillation is an even better example. The neutrino anomaly meant one of two things, either we didnt understand neutrinos, or we didnt understand fusion. If there were no neutrino oscillation, then the calculations that gave us stellar structure that matches mass to luminosity would be wrong. If you continue down the path, the calculations that give almost anything atomic would be wrong, but that wouldnt be your biggest problem. Your real problem would be that all your incorrect calculations matched up with experiment. Now you have to explain how so many people got the right solution with an incorrect calculation. |
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And with the thing I'm suggesting, we wouldn't concentrate so much on going from falsifiable hypothesis to falsifiable hypothesis, we would concentrate more on making observations than making theories. Falsifiability wouldn't be so important in that setting, but would only have a minor role.
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"Stupidity gets denser in a crowd" - Old Finnish saying. [My website and My BLOG] [Nimblebrain forums] |
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This is what I get exercised about when I hear people (like Wolfram) argue that science has gotten too hard for our brains and needs to be turned over to computers. Science was always too hard for our brains-- the whole goal was to find ways to make it not too hard for our brains. That was always the toughest challenge in science, was Newton's genius, and continues to be our charge today-- even if it's not easy. But Ari's point does raise an interesting point about falsification, which connects with the whole issue of what a theory is for. We can't decide if a theory is "alive" or "dead" until we recognize its purpose, and the purpose is often not to achieve arbitrarily accurate predictions-- it might be to help us understand something at a useful but not unlimited level of precision. In other words, it doesn't need to be "the last word", and so "falsification" is not cut-and-dried.
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Logic is the grammar of truth. Meaning and absolute certainty are incompatible, and profound meaning and absolute certainty are profoundly incompatible. The only thing intelligence is capable of is recognizing itself. |
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From what's in this thread, it seems that Popper's "naive falsificationism" is neither an accurate description of what happens in science nor a useful guide to how to actually do science.
The last few posts, by Ken G and Ari Jokimaki, have started to look at just what is the engine of science ... the role of theory for example, of unfocussed observation, purpose, and (goals). And for these areas, falsification(ism) is a minor player, at best. This thread's pretty much done then? |
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I understand your point of view, but I disagree with it somewhat. I don't think we would lack the goal you are talking about, we would just get there very slowly, and in smaller steps. Currently we are trying to create set of theories that explain everything, then put all our resources studying that set of theories, and if that fails we do the same for the next set of theories. In my opinion, we are all the time dramatically wrong because we try to take it all the way (at least sort of) at once. If we would do it my way, we would be all the time quite correct, but we wouldn't "know" that much. Mind you, I haven't really thought this through, and I'm also quite outsider when it comes to making science, so these are just idle thoughts I'm airing here, and there might be some traps in my suggestion I haven't realized yet.
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"Stupidity gets denser in a crowd" - Old Finnish saying. [My website and My BLOG] [Nimblebrain forums] |
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In my view the core goal of basic science is not to gain power over nature, as that exercise is a two-sided sword that brings in many more cultural and ethical issues, but rather it is simply to understand, to find what is simple and unifying and organizing among what is complex and chaotic and uncontrollable. When that is our goal, our "imaginings" are central, and whether or not they are "falsified" is more an issue of what the imaginings were supposed to achieve, moreso than if they are nature's real masters. Indeed, I think you are saying that nature is always the master of our theories, never the other way around, but still the theories are the purpose of the exercise-- because we already have nature.
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Logic is the grammar of truth. Meaning and absolute certainty are incompatible, and profound meaning and absolute certainty are profoundly incompatible. The only thing intelligence is capable of is recognizing itself. |
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But it seems my original confusion as to the topic might have been justified. Y'all are talking about two things: 1) does a hypothesis/statement/whatever have to falsifiable to be within the realm of science (Popper's assertion) and 2) what is the role and effect of falsification. As to 1), I think Popper is correct. If a statement is not falsifiable, it's not scientific. That doesn't mean it is useless or beneath discussion, just that maybe it should be handed to the philosophy department. 2): I'll subscribe to Ken G's initial post. Thanks for your patience. I'll go back to rocks now. ![]() |
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Well said, Geonuc.
This thread was obviously a straw man designed to discredit Popper from the get go. A better question than whether falsificationism matters in science -- of course it does; just watch any discussion between mainstream scientists and ATMers or CTers -- is why are many scientists grossed out by the thought that a philosopher may have had something valid to say about science? It's because they see it as an unacceptable intrusion into their "turf". It's no more than a corporatist kneejerk response.
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"A witty saying proves nothing" Voltaire. "All your bias are belong to us" Ara Pacis. Last edited by Disinfo Agent; 23-July-2008 at 12:42 PM.. Reason: spelling |
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(By the way, I hate it that so many papers in the areas of planetary science and geology are not easily available to the dreaded "non-subscribers". It is like they are screaming at me: "YOU CAN'T HANDLE THE TRUTH". Good, I feel better now.) "Quaerendo inventis" |
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Of course, you dear reader are perfectly entitled to form your own opinions of what the designer intended, based on whatever you wish to take into consideration (or not) ... But since you've joined, may I ask you a question? Indeed, may I ask this question (again) of all readers who think the Popperian (naive) falsificationism perspective has traction, within 20th century physics and astrophysics. Between the time when the 'missing energy' of certain beta decays was discovered and 1957, was the law of conservation of energy falsified? OK, I lied; more than one question. During 1957, did the law of conservation of energy go from being falsified to unfalsified? Also, what was falsified, by Davis' solar neutrino experiments (and others') from 1964 to 2001? |
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Logic is the grammar of truth. Meaning and absolute certainty are incompatible, and profound meaning and absolute certainty are profoundly incompatible. The only thing intelligence is capable of is recognizing itself. |
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For example, this thread, regardless of it's "intent", has made a powerful (and so far unsuccessfully challenged) case that "naive falsification" is not the process whereby science advances. That does not say that falsification plays "no role" as you claim it is saying-- it merely means its role is not a binary confirm/deny process. It's role is a bit more like the way the banks of a river interact with erosive processes to control the flow of water-- neither the water nor the bank has the "last word", there is a kind of dialog at work. In short, a more sophisticated model is needed to correctly interpret and understand what scientists are doing. Personally, I don't know enough about Popper to know what is the largest "bone of contention", but I do feel that I know enough about science that Popper has little to tell me that I don't already know. But he is a historical figure, so it is impossible to know how many of his ideas already percolated through the scientific experience and informed the current understanding of scientists of their own art. All I'm saying is that at this moment, I'll pit my understanding of how science works against his any day, but that doesn't say he didn't make a contribution. |
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I wouldn't call it falsified, but rather incomplete, as in we've noticed a hole in the jigsaw puzzle and haven't yet found the piece that fits rather than "The picture on the lid shows a cross-eyed kitten with a ball, why is this the empire State Building?".
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‘To those who regard “crime fiction” as some sacred icon which must follow a rigid formula, I will always be the man who writes 18-syllable haiku.’ Andrew Vachss, Autobiographical essay Trying to make sense of computers, The Error Log.
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For instance, in the example of Mercury, the anomaly was around for a long time before Einstein attacked it with general relativity, true, but even after he did (and he used it as a touchstone many times in his development of general relativity to judge his progress), researchers were still pursuing more classical explanations of it well into the sixties and beyond. The oblateness of the sun just wasn't that well-known at the time--and certainly not before the turn of the (19/20) century. Anyway, does it falsify all of Newtonian mechanics, or just that particular aspect? Even after Einstein published it, there were doubts. Testing of general relativity vice Newton didn't really get going until the sixties. I think, saying the precession falsifies newtonian mechanics is an overly broad interpretation. PS: Smiley-free posting for the last **006** posts |
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"falsifiable", as in "{hypothesis Y} is falsifiable" vs "falsified", as in "{hypothesis Y} has been falsified (by observations {X})". The last ~30 years of physics history (at least that part of it that has to do with String Theory anyway) notwithstanding, a good test of whether a hypothesis is scientific or not is whether it is falsifiable, at least in principle; for example, could you do an experiment (in principle) the results from which could rule out the hypothesis? If so, then you're doing science (at least in this regard). Now, historically, whether this rather bland test had to wait for Popper to come along and give it a name, or whether it was an essential part of the working life of just about every scientist anyway (well before Popper was born to boot), may be an interesting question ... but it's not what I myself am particularly interested in. I started the thread with the intent of exploring the other part - "falsified". Assuming, for now at least, that "ruled out at the n sigma level" (or similar) is essentially equivalent to "falsified", wrt a hypothesis, the interesting aspects remaining include: * does the hypothesis so ruled out/falsified simply get dumped into the round file? * what about "theories" and "laws"; is it meaningful to say one of these has been falsified? * in this sense, is "falsification" (the historical process whereby a hypothesis/theory/law goes from being {whatever} to "falsified") a one-way street? MUST it be a one-way street? One purpose of my two neutrino examples (above) is to show that falsification ("the law of conservation of energy has been falsified", for example) is not at all helpful, whether as a guide to the doing of science, or even as a thread in writing a history of science - it's entirely arbitrary, capricious, and (most damning of all) has no explanatory power. |
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![]() Our posts overlapped, but this answers very well the second of my extension questions ("what about "theories" and "laws"; is it meaningful to say one of these has been falsified?"). ![]() But does falsification have a useful role, at all, wrt theories and laws? |
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Science always involves a tradeoff, and like all tradeoffs, it is not unique. The tradeoff is you want to get as much simplification and unification as you can, but you don't want to "throw out the baby with the bathwater". That is, you don't want the result to fail to meet some realistic accuracy goal that you are interested in achieving. It is a naive scientist that thinks they are attempting to discover "what really is", such that you could use black-and-white thinking ("that's been falsified so it can't be what really is, I'd better drop that failure like a rotten egg").
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Logic is the grammar of truth. Meaning and absolute certainty are incompatible, and profound meaning and absolute certainty are profoundly incompatible. The only thing intelligence is capable of is recognizing itself. |
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I have little to add to the "falsified" discussion. I am not a scientist and never been one. Nor do I play one on TV. So, I'll just sit back and read. Good topic, though. |
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For example when someone predicts an intermediate form in the fossil record, they would never say this is *exactly* what it needs to look like. If you take Popper to literally this means you don’t have a testable prediction. In reality you still have a prediction of a range of attributes which you can match up to what you find. It’s constrained by a number of features such age age, structure, etc. IMO what Popper is really getting at is that predictions that are completely unconstrained can be altered at will to fit any outcome and that within this constrained model you need to be able to predict things that were not part of the models formulation. Science alters its base theory when the outcomes are different then expected, but it does this within constraints so you can only alter the hypothesis so far. If you meet this requirement, and can predict things that were not built into the formulation of the model with beyond what can be expected from simple random chance, then it’s science. You don’t need to predict everything, and indeed you can even use a model that makes incorrect predictions as long as you can define a scope where it’s predictions are adequate. |
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For example when someone predicts an intermediate form in the fossil record, they would never say this is *exactly* what it needs to look like. If you take Popper to literally this means you don’t have a testable prediction. In reality you still have a prediction of a range of attributes which you can match up to what you find. It’s constrained by a number of features such age age, structure, etc. IMO what Popper is really getting at is that predictions that are completely unconstrained can be altered at will to fit any outcome and that within this constrained model you need to be able to predict things that were not part of the models formulation. Science alters its base theory when the outcomes are different then expected, but it does this within constraints so you can only alter the hypothesis so far. If you meet this requirement, and can predict things that were not built into the formulation of the model with beyond what can be expected from simple random chance, then it’s science. You don’t need to predict everything, and indeed you can even use a model that makes incorrect predictions as long as you can define a scope where it’s predictions are adequate. |
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PS: Smiley-free posting for the past **009** posts |
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