CHAPTER 3-2 EXPERTS, EXPERT SYSTEMS, AND LIBRARIES On what date this year would it be best to plant the field at the northeast corner of the old Reith farm in Champaign County? How should you deal with a set of brand-new boots and tender feet when you find yourself forced to take a long march in them tomorrow? What are the problems to be overcome in disposing of nuclear waste, and what is the best way to overcome them? How much welfare services do immigrants to the U. S. use, and how much taxes do they pay, on average? Knowledge exists that can help you answer these questions. How you may acquire such knowledge is the subject of this chapter. Look first for knowledge where the knowledge may already exist -- in experts, computerized "expert systems" that codify the knowledge of experts, and libraries whose books and periodicals may contain the writings by experts and scholars of the subject. This chapter is about how to take advantage of these sources of knowledge. The knowledge referred to in this chapter includes both applied knowhow -- such as techniques that will prevent tender feet from getting sore on a long march, and also abstract knowledge -- such as understanding why new skin grows at the rate it does on the feet and on the face. Tacit knowledge, such as how to patch up feet that are sore from a long march, must be acquired by experience. EXPERTS Obviously it makes sense to start your search for an answer to a particular question by seeking help from people who understand where the relevant knowledge may be located. Experts serve two helpful functions, as subject-matter experts and as librarians. They can apply knowledge which they possess, as when a refrigerator repair-person fixes your machine or a lawyer gets a patent for your invention. Experts also can serve as your guides in the realm of abstract knowledge. A subject-matter expert can summarize for you the existing knowledge relevant to a routine question, making it unnecessary for you to venture into the library at all. For example, a competent lawyer can tell you how the law of copyright applies to reproducing an advertisement in a book. (If the point is very tricky, however, you need a truly first-class lawyer. Or you might learn how to do legal research and study the point yourself.) Another example: if you seek a mechanism to help your bank predict whether a borrower will repay a loan, a scholar in finance may be able to quickly provide you an appropriate formula and a copy of the article which describes it. On some questions, however, the "experts" are useless or worse. For example, for decades the consensus of the "energy experts" has predicted that the price of energy will go up, against all the evidence of history. And for decades their forecasts have been terribly wrong, costing Americans hundreds of billions of dollars. On this matter you would have done better to venture into the library yourself and study the problem down to its roots, rather than consulting the supposed "experts", though this obviously would not have been easy to do. People frequently claim to possess knowledge on subjects about which they are ignorant. And they are often willing to charge you high prices for that supposed knowledge. As an industrial folk-saying has it, an expert is a guy from out of town. Your problem is to determine if a person does indeed possess valid knowledge. The problem is much the same with respect to both experts and non-experts except that the knowledge which supposed experts offer usually is relatively arcane, and therefore it is harder for you to test for quality. The knowledge that a dentist applies to your mouth, for example, is especially hard to rate because it is almost never put to a public examination; even asking another dentist is seldom a satisfactory test. Here are some guidelines to help you assess whether another person possesses knowledge that will be useful to you: 1. The more local and specific the subject, the more likely the answer will valid. If you want to know whether a given field on a given farm is dry enough to plant as of today, the farmer who cultivates that farm is likely to have very reliable knowledge on that subject. He or she has direct sense knowledge of the situation through her/his eyes, and probably has had specific experience with that field for some years past, plus relevant general knowledge of when to plant. Indeed, even if the farmer is not an accredited expert on agronomy, she/he is likely to have better knowledge about when to plant that specific field than is an accredited expert in an office many miles away. The importance of specific knowledge of this kind held by people working on a particular farm or in a particular factory or in a particular retail establishment is one of the main reasons why central planning such as practiced in Soviet communism up until at least the date of writing in 1990 cannot in principle be as efficient as a decentralized market system. (More about this in Chapter 6-4. This is another example of how the same principles of thinking show up in different contexts.) Our politic often errs by not distinguishing local from distant knowledge. If you ask Susan whether co-worker immigrant Sam is a hard worker who pays more in taxes than the cost of the welfare services Sam's family uses, Susan's knowledge is likely to be very reliable. But if you ask Susan whether immigrants from Sam's country generally are hard workers and not welfare abusers, her knowledge is likely to be worse than useless. Hence polls regularly show the inconsistent results that Americans say positive things about the immigrants they know, and negative things about immigrants in general. The same is true of poll questions about whether their own neighborhoods are overcrowded, compared to questions about whether the country and planet as wholes are overcrowded. Yet reporters and politicians give weight to public opinion that immigration should be reduced because of welfare abuse, and that population growth should be reduced because of overcrowding, in violation of this principle that knowledge about events at large is likely to be less reliable than knowledge of the situation close at hand. The less local and specific the knowledge, the more necessary are the specialized scientific techniques discussed in the next chapter. 2. The more formal education the person has had with respect to a subject, the more knowledge the person is likely to possess. This principle is obvious. The strength of experts' education is in areas of knowledge that require specialized techniques and training. (Of course dowsers claim that their extensive training with the specialized techniques holding a forked stick make them experts at finding water, but not all specialized techniques and training are proof of valid knowledge.) Furthermore, as noted in point 1 above, formal education is not always enough to offset lack of local knowledge or lack of experience. Once when I was in the Navy and had just joined a Marine battalion, I needed information about how to prepare for a long hike in brand-new boots. I found that enlisted Chief Petty Officer medical corpsmen (the equivalent of Master Sergeants) knew more about practical remedies such as painting the tender areas of the foot with protective tincture of benzoine, and standing in a pan of water to wet the boots before departing, than did physicians who had had much more formal education but less experience with this particular problem. Education and impressive credentials are not solid proof of expertise, as a history of unfounded expert assessments, The Experts Speak (Cerf and Navasky, 1984) shows in hilarious detail. Supposedly well-informed persons holding their country's highest political posts often make ludicrously wrong predictions. For example, Benjamin Disraeli, then Chancellor of the Exchequer and later Prime Minister of Great Britain, asserted that building the Suez Canal was a "most futile attempt and totally impossible to be carried out" (p. 219). And the most authoritative publications and specialists have told us that such innovations as railroad trains, automobiles, airplanes, submarines, electric light, the phonograph, the telegraph, and the telephone were technologically impossible or would never amount to anything even if they could be created. Perhaps most amazingly, the world's best scientists often are utterly wrong -- and with confidence! - - even about their very own subjects. The subject of nuclear power is instructive because it is of current interest. These were the assessments of three of the greatest physicists of our time or any other. "There is no likelihood man can ever tap the power of the atom", said Robert Millikan (Cerf and Navasky, p. 214). "There is not the slightest indication that [nuclear energy] will ever be obtainable", said Albert Einstein (p. 215). And "The energy produced by the atom is a very poor kind of thing. Anyone who expects a source of power from the transformation of these atoms is talking moonshine", said Ernest Rutherford, himself one of the great pioneers in the field (p. 215). Even The Experts Speak, the compendium of experts' nonsense from which I just quoted sometimes gets it completely wrong, labeling sound judgment as nonsense. For example, it quotes as nonsense the inventor of the hydrogen bomb, Edward Teller, as saying "What do you think you get more radiation from, leaning up against an atomic reactor or your wife?...[Y]ou get just a bit more from [the reactor] than from your wife" (p. 217). Teller is unquestionable correct. He went on to joke that perhaps this meant only that one should not sleep with more than one other person at a time. Also quoted is physicist, Dixy Lee Ray, ex- Governor of Washington, and former Chairman of the Atomic Energy Commission, saying "A nuclear power plant is infinitely safer than eating, because 300 people choke to death on food every year [in the United States]" (p. 216). And she is quite right, because nuclear power has caused zero deaths in the U. S., unlike every other energy source, and even the Soviet experience does not tilt the balance the other way. (Do I hear you saying that I have it wrong? Maybe this makes the point.) In my own trade of economics, the profession passed from a majority of the most respected scholars approving Keynesian theory and policies in the 1950's and 1960's, to the vast majority approving quite the opposite sort of theory and policies by 1989. So much for trusting in the experts. Whether the government should license experts in a given field is always an interesting question. In some cases licensing obviously is protection for the incomes of the practitioners; requiring six months or a year of training in such subjects as electricity and blood chemistry does not improve a barber's skill, and few people would have trouble sorting out the bad barbers from the good barbers without a license on the wall. And if there were no legal requirements to become a physician, private agencies rating physicians might (or might not) soon sell information providing better protection than do the legal requirements. Government licensing of such professions as public relations can appeal only to the most naive members of the public -- plus, of course, the practitioners who would be protected from competition. But the fact that an electrician is certified by the state as competent might indicate a somewhat better chance that your job will be done right than if it is done by an uncertified person. It is also important to recognize when a distinguished expert is opining about matters which are outside the person's field of knowledge. In such case, you should pay no more attention than you would to any other layperson. Einstein, Bertrand Russell, and Andrei Sakharov are examples of great minds in science who have been remarkably naive -- indeed, downright ignorant -- about economic systems; yet all have written in praise of socialism. Experts in one field are all too often given forums for their opinions in other fields, and too often they accept the lure instead of steadfastly keeping their public pronouncements to what they know about. 3. The more experience the person has had, the more reliable the knowledge. If Susan has worked with immigrant Sam for ten years, her knowledge of his work discipline is likely to be greater than if she worked a week with him. But in some situations, experience may not be enough to offset lack of education. As it is truly said of some people: he has had twenty years of experience -- one years' worth, twenty times. And the long experience may lead to the belief that a person must know a lot about the situation, even if he doesn't, because otherwise he would be stupid and we both know that he is not stupid, right? 4. The more immediately testable the knowledge, the more reliable the expert is likely to be. A refrigerator repairer is likely to be more reliable when she says that she can fix the machine than is a head shrinker who says that he can repair your schizophrenia, or an economist who claims to know when to increase the nation's money supply. One reason that immediate testability is linked to knowledge is that in such cases the expert gets lots of chances to check her/his ideas against the reality of what works and what does not -- that is, lots of `feedback' that should improve his/her knowledge. 5. The more uniform the results of a procedure, the more reliable the supposed expert. Refrigerators respond more uniformly to treatment than do schizophrenics or economies, for reasons that are fairly obvious but that would be hard to state briefly. 6. The larger the body of tested scientific knowledge on a subject, and the more evidence that has accumulated, the more reliable the experts are likely to be. There have been many more experiments with drugs to combat high blood pressure than with drugs to increase creativity, and therefore people who prescribe the former are more deserving of credence than those who prescribe the latter. And a physician who says that aspirin will not cause delayed side effects is more to be believed than a physician who says that the newest drug for depression will cause no side effects, because aspirin has been used so widely for so many years. 7. The absence of scientific proof that a procedure works, and the presence of scientific evidence that the procedure does not work, suggest that no one should be considered an expert in the practice of that procedure. For half a century studies have shown that the stockmarket "experts" do not forecast which way the market is going in the short run any better than a flipped coin does. But great is the human desire to feel that the world is not beyond our control, and great is our belief that there just might be magic this time. People therefore continue unabatedly to pay large sums of money for market forecasts in newspapers and newsletters, and by stockbrokers. J. Scott Armstrong calls this the "seersucker principle": "No matter how much evidence exists that seers do not exist [in a given field], suckers will pay for the existence of seers" (1979, p. 1) (More about this in Chapter 8-0 on investment, and in Chapters 4-5 and 4-6 on clarity and error). It is quite amazing that scientific testing is not conducted even when it is easy to do. Dentists obviously did not test the old method of up-and-down brushing before they "expertly" prescribed it to everyone in the nation, or they would not now be prescribing side-to-side brushing. Whether they have yet tested the latter I do not know. But which patient would question their expertness on this subject? Much the same was true of the exercises prescribed to millions of back sufferers until a few years ago. 8. The greater the benefit to the person from simply providing an opinion -- distinguished from producing results, as in the case of refrigerator repair -- the greater the chance that you will pay for worthless knowledge. A racetrack tout has an obvious stake in your believing that the tout has some inside knowledge about which horse will win. So does a stockbroker; if you believe the stockbroker's recommendations, you will buy and sell more stock from her and provide her more profit in commissions. Consultants who claim to be able to improve jury selection have an obvious stake in parties to legal disputes believing that the consultants can pick better than chance, in spite of solid evidence that they have no more skill than does a dart thrown at random [***reference from Rita]. And psychologists and psychiatrists who are "professional clinicians do not in fact make more accurate clinical judgments than laypersons" when predicting violent behavior or determining who is faking mental illness; hence they seem to be of little assistance in court trials (Faust and Ziskin, 1988). It is not surprising that psychoanalysts did not welcome and proclaim the tests that showed an absence of proven improvement from their expensive treatments. You must also worry about the expert's self-interest or even knowledge itself affecting the content of the information you receive. Scientists who study nuclear fusion obviously desire U. S. senators and congressional representatives to believe that fusion has a bright future if research in it is well-supported. But there is a mechanism operating in the opposite direction in some circumstances; experts often are overly pessimistic about future discoveries in their fields. Apparently this happens because they focus on the sub-fields in which they work, which have already been opened up (by definition), and they focus away from the possibility of wholly-new sub-fields outside their own. You can improve your chances of getting valuable knowledge from experts if you check the results of those you are considering employing. In some fields such as economic forecasting, those people identified as experts do no better than chance at forecasting short-run ups and downs, so you do not even need to check out individuals. (Of course some individuals will seem to have successful track records, but this is almost surely due to chance, just as someone in a crowd of ten thousand people each flipping ten coins will probably observe ten heads. (For more about this, see Chapter 1-4 on uncertainty). Journalists seldom check the records of experts. Instead, they usually decide whom to consult on the basis of fame and organizational attachment. Just as a celebrity may be be said to be a person well-known for being well-known, an expert is a person whom others think is an expert. For example, the best- known prophets of gloom-and-doom with respect to the world's food and natural resources have been wrong again and again. Yet the same people who have been so consistently wrong during the last two decades of concern about these matters continue to be the most-consulted of all. Their abysmal forecasting records seem never to be held against them. Young people often have trouble accepting how wrong experts can be, perhaps because most of the information that children receive is specific and well-founded: If you don't wear a hat your ears will be cold; turn your hips when you hit the ball. Children extend this trust to matters about which knowledge is much less well-founded, and the trust is often fostered by the prestige of persons they hear from -- honored professors, respected journalists, and so on. Indeed, it is uncomfortable for us adults, too, to think that some important part of the world around us is unknown and even unknowable. We like to feel that we can master our environment, and it comes very hard to be told that we cannot. Though this section focuses on experts, the topic blends into the entire subjects of knowledge and of sound thinking. Therefore, many other chapters in the book throw light on experts and expertise, and how to think about them. How to work with experts so as to effectively transfer their knowledge to you deserves some attention, but there is no space for it here. EXPERT SYSTEMS An "expert system" is part of the recently-developing field known as "artificial intelligence"; such a system is a synthetic expert. The people who create the program mine and systematize the knowledge of several living breathing experts into a computer program which may then be consulted by a user. For example, the MYCIN program combines the knowledge of physicians skilled in diagnosing and treating meningitis and bacterial infections of the blood into a computer file which other physicians can then consult. The computer has a wider array of information stored in it than does a single ordinary physician's memory, because the program creators drew upon the knowledge of several top-notch experts. This means that exotic diseases which the ordinary physician would never see in a lifetime are catalogued in the computer, along with a wide range of symptoms that might only occasionally be seen. The computer also has the advantage that it is never forgetful or fatigued. In operation, the computer asks the user a series of questions, each question depending upon the answers previously given, in a sequence resembling the way that a physician ordinarily thinks when making a diagnosis. A hypothetical automobile-repair example is easier for the lay person to follow than a medical example. The computer first asks you to classify your problem into either 1) car won't start, or 2) some other problem. If you respond with "1", the computer then asks you if 1) headlights are dim, 2) the fuel filter is clogged, or 3) the battery cables are loose or corroded. The computer also asks for information about the starter: 1) no cranking? 2) slow cranking? 3) normal cranking? 4) grinding noise from starter? Depending on which pair of answers you give, the computer asks you further questions, until there is enough information to recommend what to do. (adapted from Harmon and King, 1985 pp. 110-111). Expert systems are still in their youth. Other successful examples include a program to aid decisions made in oil drilling, another for geologists' use in prospecting for ore deposits, and a system to make diagnoses in locomotive repair. An expert system is very specific. It gives you a diagnosis and treatment for a particular person's illness, or a particular car's problem. Knowledge in libraries tends to be more abstract. Consider, for example, a formula that help banks predict who will default on loans. The formula is a general tool that you apply to a specific case by inserting the particular characteristics of the potential borrower. LIBRARIES The applied and abstract knowledge accumulated by humankind is collected and stored in libraries. All the other assets of our species, other than the very human beings, can be replaced rather quickly if destroyed. But were the contents of all libraries to be destroyed, progress would be set back thousands of years. A librarian -- an expert on libraries -- knows the general rules and outlines of this maze of knowledge, but usually stands on the sidelines while you venture in. Sometimes a librarian knows the specific location of the knowledge that you seek. But more often the librarian knows the directions you should go -- which catalogs you should consult, and which reference tools you should use. Deciding when to go to the library yourself and when to consult experts will depend upon such factors as the utility to you of the money you would pay to experts, your skill at using the library, and the type of question before you and the degree of expertise of experts. Using a library effectively is a fascinating challenge. It is much more interesting than I ever thought it could be when I took the tour given to new students at the university when I arrived as a freshman. REFERENCES Armstrong, J. Scott: "Evidence on the Value of Experts in Forecasting: The Seer-Sucker Theory", xerox, 1979, p. 1. Cerf, Christopher and Victor Navasky, The Experts Speak, (New York: Pantheon, 1984). Faust, David, and Jay Ziskin, "The Expert Witness in Psychology and Psychiatry", Science, vol. 241, July 1, 1988, pp. 31-35. Harmon, Paul and David King, Expert Systems (New York: John Wiley, 1985). Page # thinking exprt32# 3-3-4d