This is the sci.skeptic FAQ. It is intended to provide a factual base for most of the commonly discussed topics on sci.skeptic. Unfortunately I don't have much time to do this in, and anyway a FAQ should be the Distilled Wisdom of the Net rather than just My Arrogant Opinion, so I invite submissions and let all the net experts out there fill in the details. Submissions from any point of view and on any sci.skeptic topic are welcomed, but please keep them short and to the point. The ideal submission is a short summary with one or two references to other literature. I have added comments in square brackets where I think more information is particularly needed, but don't let that stop you sending something else.
If you are reading this with a newsreader and want to follow up on something, please copy the question to the subject line. This is more informative than a reference to the entire FAQ.
This is in no way an "official" FAQ. I am a computer scientist by profession and deeply skeptical of paranormal claims (although I may include some pro-paranormal arguments here). If anyone else with a less skeptical point of view wants to start a FAQ list, please feel free. I certainly can't stop you.
This leaves out the co-operation between scientists in building theories, and the fact that it is impossible for every scientist to independently do every experiment to confirm every theory. Because life is short, scientists have to trust other scientists. So a scientist who claims to have done an experiment and obtained certain results will usually be believed, and most people will not bother to repeat the experiment.
Experiments do get repeated as part of other experiments. Most scientific papers contain suggestions for other scientists to follow up. Usually the first step in doing this is to repeat the earlier work. So if a theory is the starting point for a significant amount of work then the initial experiments will get replicated a number of times.
Some people talk about "Kuhnian paradigm shifts". This refers to the observed pattern of the slow extension of scientific knowledge with occasional sudden revolutions. This does happen, but it still follows the steps above.
Many philosophers of science would argue that there is no such thing as the scientific method.
1.2: What is the difference between a fact, a theory and a hypothesis?
In popular usage, a theory is just a vague and fuzzy sort of fact. But to a scientist a theory is a conceptual framework that explains existing facts and predicts new ones. For instance, today I saw the Sun rise. This is a fact. This fact is explained by the theory that the Earth is round and spins on its axis while orbiting the sun. This theory also explains other facts, such as the seasons and the phases of the moon, and allows me to make predictions about what will happen tomorrow.
This means that in some ways the words fact and theory are interchangeable. The organisation of the solar system, which I used as a simple example of a theory, is normally considered to be a fact that is explained by Newton's theory of gravity. And so on.
A hypothesis is a tentative theory that has not yet been tested. Typically, a scientist devises a hypothesis and then sees if it "holds water" by testing it against available data. If the hypothesis does hold water, the scientist declares it to be a theory.
An important characteristic of a scientific theory or hypotheis is that it be "falsifiable". This means that there must be some experiment or possible discovery that could prove the theory untrue. For example, Einstein's theory of Relativity made predictions about the results of experiments. These experiments could have produced results that contradicted Einstein, so the theory was (and still is) falsifiable.
On the other hand the theory that "there is an invisible snorg reading this over your shoulder" is not falsifiable. There is no experiment or possible evidence that could prove that invisible snorgs do not exist. So the Snorg Hypothesis is not scientific. On the other hand, the "Negative Snorg Hypothesis" (that they do not exist) is scientific. You can disprove it by catching one. Similar arguments apply to yetis, UFOs and the Loch Ness Monster.
1.3: Can science ever really prove anything?
Yes and no. It depends on what you mean by "prove".
For instance, there is little doubt that an object thrown into the air will come back down (ignoring spacecraft for the moment). One could make a scientific observation that "Things fall down". I am about to throw a stone into the air. I use my observation of past events to predict that the stone will come back down. Wow - it did!
But next time I throw a stone, it might not come down. It might hover, or go shooting off upwards. So not even this simple fact has been really proved. But you would have to be very perverse to claim that the next thrown stone will not come back down. So for ordinary everyday use, we can say that the theory is true.
You can think of facts and theories (not just scientific ones, but ordinary everyday ones) as being on a scale of certainty. Up at the top end we have facts like "things fall down". Down at the bottom we have "the Earth is flat". In the middle we have "I will die of heart disease". Some scientific theories are nearer the top than others, but none of them ever actually reach it. Skepticism is usually directed at claims that contradict facts and theories that are very near the top of the scale. If you want to discuss ideas nearer the middle of the scale (that is, things about which there is real debate in the scientific community) then you would be better off asking on the appropriate specialist group.
1.4: If scientific theories keep changing, where is the Truth?
In 1666 Isaac Newton proposed his theory of gravitation. This was one of the greatest intellectual feats of all time. The theory explained all the observed facts, and made predictions that were later tested and found to be correct within the accuracy of the instruments being used. As far as anyone could see, Newton's theory was the Truth.
During the nineteenth century, more accurate instruments were used to test Newton's theory, and found some slight discrepancies (for instance, the orbit of Mercury wasn't quite right). Albert Einstein proposed his theories of Relativity, which explained the newly observed facts and made more predictions. Those predictions have now been tested and found to be correct within the accuracy of the instruments being used. As far as anyone can see, Einstein's theory is the Truth.
So how can the Truth change? Well the answer is that it hasn't. The Universe is still the same as it ever was, and Newton's theory is as true as it ever was. If you take a course in physics today, you will be taught Newton's Laws. They can be used to make predictions, and those predictions are still correct. Only if you are dealing with things that move close to the speed of light do you need to use Einstein's theories. If you are working at ordinary speeds outside of very strong gravitational fields and use Einstein, you will get (almost) exactly the same answer as you would with Newton. It just takes longer because using Einstein involves rather more maths.
One other note about truth: science does not make moral judgements. Anyone who tries to draw moral lessons from the laws of nature is on very dangerous ground. Evolution in particular seems to suffer from this. At one time or another it seems to have been used to justify Nazism, Communism, and every other -ism in between. These justifications are all completely bogus. Similarly, anyone who says "evolution theory is evil because it is used to support Communism" (or any other -ism) has also strayed from the path of Logic.
1.5: "Extraordinary evidence is needed for an extraordinary claim"
An extraordinary claim is one that contradicts a fact that is close to the top of the certainty scale discussed above. So if you are trying to contradict such a fact, you had better have facts available that are even higher up the certainty scale.
1.6: What is Occam's Razor?
Ockham's Razor ("Occam" is a Latinised variant) is the principle proposed by William of Ockham in the fifteenth century that "Pluralitas non est ponenda sine neccesitate", which translates as "entities should not be multiplied unnecessarily". Various other rephrasings have been incorrectly attributed to him. In more modern terms, if you have two theories which both explain the observed facts then you should use the simplest until more evidence comes along. See W.M. Thorburn, "The Myth of Occam's Razor," Mind 27:345-353 (1918) for a detailed study of what Ockham actually wrote and what others wrote after him.
The reason behind the razor is that for any given set of facts there are an infinite number of theories that could explain them. For instance, if you have a graph with four points in a line then the simplest theory that explains them is a linear relationship, but you can draw an infinite number of different curves that all pass through the four points. There is no evidence that the straight line is the right one, but it is the simplest possible solution. So you might as well use it until someone comes along with a point off the straight line.
Also, if you have a few thousand points on the line and someone suggests that there is a point that is off the line, it's a pretty fair bet that they are wrong.
The following argument against Occam's Razor is sometime proposed:
This simple hypothesis was shown to be false; the truth was more complicated. So Occam's Razor doesn't work.
This is a strawman argument. The Razor doesn't tell us anything about the truth or otherwise of a hypothesis, but rather it tells us which one to test first. The simpler the hypothesis, the easier it is to shoot down.
A related rule, which can be used to slice open conspiracy theories, is Hanlon's Razor: "Never attribute to malice that which can be adequately explained by stupidity". This definition comes from "The Jargon File" (edited by Eric Raymond), but one poster attributes it to Robert Heinlein, in a 1941 story called "Logic of Empire".
1.7: Galileo was persecuted, just like researchers into today.
People putting forward extraordinary claims often refer to Galileo as an example of a great genius being persecuted by the establishment for heretical theories. They claim that the scientific establishment is afraid of being proved wrong, and hence is trying to suppress the truth.
This is a classic conspiracy theory. The Conspirators are all those scientists who have bothered to point out flaws in the claims put forward by the researchers.
The usual rejoinder to someone who says "They laughed at Columbus, they laughed at Galileo" is to say "But they also laughed at Bozo the Clown". (From Carl Sagan, Broca's Brain, Coronet 1980, p79).
Incidentally, stories about the persecution of Galileo Galilei and the ridicule Christopher Columbus had to endure should be taken with a grain of salt.
During the early days of Galileo's theory church officials were interested and sometimes supportive, even though they had yet to find a way to incorporate it into theology. His main adversaries were established scientists - since he was unable to provide HARD proofs they didn't accept his model. Galileo became more agitated, declared them ignorant fools and publicly stated that his model was the correct one, thus coming in conflict with the church.
When Columbus proposed to take the "Western Route" the spherical nature of the Earth was common knowledge, even though the diameter was still debatable. Columbus simply believed that the Earth was a lot smaller, while his adversaries claimed that the Western Route would be too long. If America hadn't been in his way, he most likely would have failed. The myth that "he was laughed at for believing that the Earth was a globe" stems from an American author who intentionally adulterated history.
1.8: What is the "Experimenter effect"?
It is unconscious bias introduced into an experiment by the experimenter. It can occur in one of two ways:
Note that neither of these sources of bias require deliberate fraud.
A classic example of the first kind of bias was the "N-ray", discovered early this century. Detecting them required the investigator to look for very faint flashes of light on a scintillator. Many scientists reported detecting these rays. They were fooling themselves. For more details, see "The Mutations of Science" in Science Since Babylon by Derek Price (Yale Univ. Press).
A classic example of the second kind of bias were the detailed investigations into the relationship between race and brain capacity in the last century. Skull capacity was measured by filling the empty skull with lead shot or mustard seed, and then measuring the volume of beans. A significant difference in the results could be obtained by ensuring that the filling in some skulls was better settled than others. For more details on this story, read Stephen Jay Gould's The Mismeasure of Man.
For more detail see:
T.X. Barber, Pitfalls of Human Research, 1976.
Robert Rosenthal, Pygmalion in the Classroom.
[These were recommended by a correspondent. Sorry I have no more information.]
1.9: How much fraud is there in science?
In its simplest form this question is unanswerable, since undetected fraud is by definition unmeasurable. Of course there are many known cases of fraud in science. Some use this to argue that all scientific findings (especially those they dislike) are worthless.
This ignores the replication of results which is routinely undertaken by scientists. Any important result will be replicated many times by many different people. So an assertion that (for instance) scientists are lying about carbon-14 dating requires that a great many scientists are engaging in a conspiracy. See the previous question.
In fact the existence of known and documented fraud is a good illustration of the self-correcting nature of science. It does not matter if a proportion of scientists are fraudsters because any important work they do will not be taken seriously without independent verification. Hence they must confine themselves to pedestrian work which no-one is much interested in, and obtain only the expected results. For anyone with the talent and ambition necessary to get a Ph.D this is not going to be an enjoyable career.
Also, most scientists are idealists. They perceive beauty in scientific truth and see its discovery as their vocation. Without this most would have gone into something more lucrative.
These arguments suggest that undetected fraud in science is both rare and unimportant.
The above arguments are weaker in medical research, where companies frequently suppress or distort data in order to support their own products. Tobacco companies regularly produce reports "proving" that smoking is harmless, and drug companies have both faked and suppressed data related to the safety or effectiveness or major products.
For more detail on more scientific frauds than you ever knew existed, see False Prophets by Alexander Koln.
The standard textbook used in North America is Betrayers of the Truth: Fraud and Deceit in Science by William Broad and Nicholas Wade (Oxford 1982).
There is a mailing list SCIFRAUD for the discussion of fraud and questionable behaviour in science. To subscribe, send "sub scifraud <Your Name>" to "firstname.lastname@example.org".
1.9.1: Did Mendel fudge his results?
Gregor Mendel was a 19th Century monk who discovered the laws of inheritance (dominant and recessive genes etc.). More recent analysis of his results suggest that they are "too good to be true". Mendelian inheritance involves the random selection of possible traits from parents, with particular probabilities of particular traits. It seems from Mendel's raw data that chance played a smaller part in his experiments than it should. This does not imply fraud on the part of Mendel.
First, the experiments were not "blind" (see the questions about double blind experiments and the experimenter effect). Deciding whether a particular pea is wrinkled or not needs judgement, and this could bias Mendel's results towards the expected. This is an example of the "experimenter effect".
Second, Mendel's Laws are only approximations. In fact it does turn out that in some cases inheritance is less random than his Laws state.
Third, Mendel might have neglected to publish the results of `failed' experiments. It is interesting to note that all 7 of the characteristics measured in his published work are controlled by single genes. He did not report any experiments with more complicated characteristics. Mendel later started experiments with a more complex plant, hawkweed, could not interpret the results, got discouraged and abandoned plant science.
See The Human Blueprint by Robert Shapiro (New York: St. Martin's, 1991) p. 17.
1.10: Are scientists wearing blinkers?
One of the commonest allegations against mainstream science is that its practitioners only see what they expect to see. Scientists often refuse to test fringe ideas because "science" tells them that this will be a waste of time and effort. Hence they miss ideas which could be very valuable.
This is the "blinkers" argument, by analogy with the leather shields placed over horses eyes so that they only see the road ahead. It is often put forward by proponents of new-age beliefs and alternative health.
It is certainly true that ideas from outside the mainstream of science can have a hard time getting established. But on the other hand the opportunity to create a scientific revolution is a very tempting one: wealth, fame and Nobel prizes tend to follow from such work. So there will always be one or two scientists who are willing to look at anything new.
If you have such an idea, remember that the burden of proof is on you. Posting an explanation of your idea to sci.skeptic is a good start. Many readers of this group are professional scientists. They will be willing to provide constructive criticism and pointers to relevant literature (along with the occasional rasberry). Listen to them. Then go away, read the articles, improve your theory in the light of your new knowledge, and then ask again. Starting a scientific revolution is a long, hard slog. Don't expect it to be easy. If it was, we would have them every week.
Quelle: http://www.xnet.com/~blatura/skep_1.html#1.6 (97-03-14)