REALISM AND ANTI-REALISM There are many scientific theories about things we can’t observe: Electrons, quarks, electric fields, strings, etc. This suggests a question: should we believe unobservable entities exist? Those who believe we should are called scientific realists. Those who believe we shouldn’t are called scientific anti-realists. 1 Realism Scientific realism is the belief that: A. Scientific theories aim to give us a literally true account of reality B. Accepting a theory involves accepting the theory as true So, if you accept particle theory you accept, e.g., that electrons exist. Why might we doubt this? 2 Anti-realism: Positivism Positivists claim that we can only meaningfully talk about what is observable. So, when scientists talk about “quarks” or “electrons” they mustn’t be interpreted literally. What they are really talking about is observations of instruments. E.g.: “there is electric current in this circuit” really means “the ammeter deflects when connected to this circuit”. So, positivism is a form of anti-realism by arguing that theoretical claims shouldn’t be taken literally. 3 Anti-realism: Constructive Empiricism Van Fraassen disagrees. He thinks there is no point in trying to re-interpret scientific language. So, scientific claims should be literally construed. But the aim of science is to give us theories that are empirically adequate, not true! Empirical Adequacy: Everything the theory says about what is observable—e.g. meter deflections, flashes of light, etc.—is true. To accept a theory is simply to believe it is empirically adequate. 4 Empirical adequacy Van Fraassen: when choosing a theory, all we ever have to go on is the observable evidence in its favour. If we claim empirically adequate (successful) theories are also true then we do two things: Make a claim that goes beyond the evidence (truth is more than evidence); this is a leap of faith. Accept that empirically adequate theories might be false (again, truth is more than evidence). Both are undesirable. Instead we should just accept those theories that work. 5 Pragmatic aspects Van Fraassen: In adopting a theory we shouldn’t believe it is true, but we do take on a pragmatic commitment: To explain future phenomena using the concepts, formulae, etc. of the current theory. I.e., we intend to vindicate our theories. There is no guarantee of success here: E.g.: funding to science might be cut Still, for van Fraassen accepting a theory is a matter of: Finding it to be empirically adequate Committing oneself to vindicating it 6 Observable vs. unobservable Van Fraassen: since accepting a theory only commits us to accepting as true what it says about the observable realm: It follows that we don’t need to believe any claims about the unobservable. We should remain anti-realists about the unobservable. But some have argued that there is no real distinction between the observable and the unobservable. If so, then van Fraassen’s position rests on an untenable distinction. 7 Against the distinction Argument I: There are many ways in which we might be able to detect some entity: Unaided eyeslow power magnifying glasshigh power magnifying glasslow power microscopehigh power microscopeelectron microscopecloud chamber. This forms a continuum. There is no principled place to draw the line between observable and unobservable on this continuum. Therefore, there is no distinction between the observable and unobservable. 8 Reply Van Fraassen: Just because we don’t know where to draw the line between observable and unobservable it doesn’t follow that there is no distinction. What follows is that it is vague. E.g.: we can’t draw a definite line (in terms of number of hairs) between being bald and not being bald, Still the distinction exists. All we need is clear cases on either side, and we have that: what we can observe without instruments vs. what requires instruments. 9 Against the distinction Argument II: What is observable by humans is a mere accident of our evolution. We might have had senses so good that we can, e.g., see quarks. We might evolve in the future so that our senses become that good. So, nothing is unobservable in principle. 10 Reply Van Fraassen: This is not relevant. Is the CN tower portable because in “principle” we could carry it? Is a steel girder fragile because in “principle” we could break it? Of course not! Since the aim of science is empirical adequacy, we should only believe in what is observable by our current abilities. Anything else is a leap of faith. 11 Realism strikes back Van Fraassen’s arguments were influential, in part because: It shares some features with positivism, which was very influential. It avoids some of positivism’s more controversial claims (i.e. re-interpreting scientific language). Nevertheless, realists responded… 12 The “Miracle” Argument Science is successful: our theories make a lot of predictions that turn out to be accurate. Such success couldn’t occur by mere chance or guesswork. If our theories are false, then it would be coincidence if any predictions derived from them were true But if our theories are true, then any conclusion logically deduced from them must be true. Therefore, Realism is the only explanation that does not make the success of science an extremely improbable miracle. Realism is the best account of science. 13 Van Fraassen responds Suppose we were to ask why mice flee from cats. How would we explain this? Van Fraassen: We would appeal to Darwin. In the past, there was natural variation in mice: some ran, some didn’t. Those that ran survived and passed the flee response on to their offspring. Those that didn’t died. Their traits died with them. In other words, some responses worked and were propagated, some didn’t and were not. Van Fraassen: there is no need to suppose that some mice formed true theories about cats while others didn’t. The same holds for theories… 14 The Darwinian approach to science Question: Why are theories successful? Van Fraassen: There is variation among theories: some are E.A., some aren’t. Those that are “survive”: scientists adopt them. Those that aren’t, are rejected: they “die out”. It’s not that some theories “get reality right” (truth) while others don’t. Rather: Anything that works has a survival (acceptance) advantage. We don’t need to explain why they survived because there is no “miracle”: In a competitive environment, successful strategies prevail. 15 Defending Realism Brown: Science is successful means: 1. Our theories get a lot right: they unify, organize and explain many things. 2. Science progresses: new theories get more right than old theories. 3. Novel predictions are correctly made more often than chance alone could explain. Can van Fraassen’s Darwinian approach to scientific success account for all of these? The Darwinian stance rests on an analogy: The success of theories is like the survival of biological species. But does the analogy hold? 16 Novel predictions Brown: When surprising or unexpected phenomena occur, this is a radical change in the environment of a theory. It is like a sudden alteration of a species’ environment. However, in nature, most species are unable to survive radical change (e.g., dinosaurs). But good theories only account for (survive) novel observations, they predict them. So in one very important way, theories are not like biological species 17 No explanation What this shows is that van Fraassen’s Darwinian approach can’t explain the success of science: According to him, we accept theories because they are empirically adequate: they account for what we have observed to date. But the fact that a theory is good at organizing and unifying our past experience gives us no reason to believe it will continue to do so This is an induction problem. 18 What about points 1 & 2? Brown: nor can van Fraassen explain the first two aspects of scientific success. He claims: 1. Our theories unify observations because we pick the ones that do. 2. Our theories progress (unify more and more) because we pick the most successful ones available. Brown: this is too simplistic: it assumes that scientists only look at empirical adequacy when choosing a theory. This is false. Other considerations can (and do) play a role: conceptual, metaphysical, logical, and even aesthetic. So there is more to rational acceptance than empirical adequacy. 19 Some problems remain It is hard to come up with criteria for “closer to the truth”—so, how do we measure the progress of science? Even false theories make novel predictions, so do these really show theories to be true? Let’s examine the last point: If false theories can make successful predictions, truth isn’t necessary for predictive success. Also, true theories can make false predictions, so truth isn’t sufficient for success. So does success really give us a reason to believe theories are true? 20 Narrative explanations Brown: some explanations are narrative: They are intended to show us how something could be possible, not why it is necessary (had to be). E.g.: Giraffes have long necks because in the past those with the longest necks had the highest survival rate. We don’t know with certainty that the past was like that. However, this story allows us to see how a current situation could have arisen. Brown: realism is like that! It is a story that allows us to see how successful predictions are possible. That gives us some reason to believe it. 21