Read Zen and the Art of Motorcycle Maintenance Page 11


  Solution of problems too complicated for common sense to solve is achieved by long strings of mixed inductive and deductive inferences that weave back and forth between the observed machine and the mental hierarchy of the machine found in the manuals. The correct program for this interweaving is formalized as scientific method.

  Actually I’ve never seen a cycle-maintenance problem complex enough really to require full-scale formal scientific method. Repair problems are not that hard. When I think of formal scientific method an image sometimes comes to mind of an enormous juggernaut, a huge bulldozer… slow, tedious lumbering, laborious, but invincible. It takes twice as long, five times as long, maybe a dozen times as long as informal mechanic’s techniques, but you know in the end you’re going to get it. There’s no fault isolation problem in motorcycle maintenance that can stand up to it. When you’ve hit a really tough one, tried everything, racked your brain and nothing works, and you know that this time Nature has really decided to be difficult, you say, “Okay, Nature, that’s the end of the nice guy”, and you crank up the formal scientific method.

  For this you keep a lab notebook. Everything gets written down, formally, so that you know at all times where you are, where you’ve been, where you’re going and where you want to get. In scientific work and electronics technology this is necessary because otherwise the problems get so complex you get lost in them and confused and forget what you know and what you don’t know and have to give up. In cycle maintenance things are not that involved, but when confusion starts it’s a good idea to hold it down by making everything formal and exact. Sometimes just the act of writing down the problems straightens out your head as to what they really are.

  The logical statements entered into the notebook are broken down into six categories: (1) statement of the problem, (2) hypotheses as to the cause of the problem, (3) experiments designed to test each hypothesis, (4) predicted results of the experiments, (5) observed results of the experiments and (6) conclusions from the results of the experiments. This is not different from the formal arrangement of many college and high-school lab notebooks but the purpose here is no longer just busywork. The purpose now is precise guidance of thoughts that will fail if they are not accurate.

  The real purpose of scientific method is to make sure Nature hasn’t misled you into thinking you know something you don’t actually know. There’s not a mechanic or scientist or technician alive who hasn’t suffered from that one so much that he’s not instinctively on guard. That’s the main reason why so much scientific and mechanical information sounds so dull and so cautious. If you get careless or go romanticizing scientific information, giving it a flourish here and there, Nature will soon make a complete fool out of you. It does it often enough anyway even when you don’t give it opportunities. One must be extremely careful and rigidly logical when dealing with Nature: one logical slip and an entire scientific edifice comes tumbling down. One false deduction about the machine and you can get hung up indefinitely.

  In Part One of formal scientific method, which is the statement of the problem, the main skill is in stating absolutely no more than you are positive you know. It is much better to enter a statement “Solve Problem: Why doesn’t cycle work?” which sounds dumb but is correct, than it is to enter a statement “Solve Problem: What is wrong with the electrical system?” when you don’t absolutely know the trouble is in the electrical system. What you should state is “Solve Problem: What is wrong with cycle?” and then state as the first entry of Part Two: “Hypothesis Number One: The trouble is in the electrical system.” You think of as many hypotheses as you can, then you design experiments to test them to see which are true and which are false.

  This careful approach to the beginning questions keeps you from taking a major wrong turn which might cause you weeks of extra work or can even hang you up completely. Scientific questions often have a surface appearance of dumbness for this reason. They are asked in order to prevent dumb mistakes later on.

  Part Three, that part of formal scientific method called experimentation, is sometimes thought of by romantics as all of science itself because that’s the only part with much visual surface. They see lots of test tubes and bizarre equipment and people running around making discoveries. They do not see the experiment as part of a larger intellectual process and so they often confuse experiments with demonstrations, which look the same. A man conducting a gee-whiz science show with fifty thousand dollars’ worth of Frankenstein equipment is not doing anything scientific if he knows beforehand what the results of his efforts are going to be. A motorcycle mechanic, on the other hand, who honks the horn to see if the battery works is informally conducting a true scientific experiment. He is testing a hypothesis by putting the question to nature. The TV scientist who mutters sadly, “The experiment is a failure; we have failed to achieve what we had hoped for”, is suffering mainly from a bad scriptwriter. An experiment is never a failure solely because it fails to achieve predicted results. An experiment is a failure only when it also fails adequately to test the hypothesis in question, when the data it produces don’t prove anything one way or another.

  Skill at this point consists of using experiments that test only the hypothesis in question, nothing less, nothing more. If the horn honks, and the mechanic concludes that the whole electrical system is working, he is in deep trouble. He has reached an illogical conclusion. The honking horn only tells him that the battery and horn are working. To design an experiment properly he has to think very rigidly in terms of what directly causes what. This you know from the hierarchy. The horn doesn’t make the cycle go. Neither does the battery, except in a very indirect way. The point at which the electrical system directly causes the engine to fire is at the spark plugs, and if you don’t test here, at the output of the electrical system, you will never really know whether the failure is electrical or not.

  To test properly the mechanic removes the plug and lays it against the engine so that the base around the plug is electrically grounded, kicks the starter lever and watches the spark plug gap for a blue spark. If there isn’t any he can conclude one of two things: (a) there is an electrical failure or (b) his experiment is sloppy. If he is experienced he will try it a few more times, checking connections, trying every way he can think of to get that plug to fire. Then, if he can’t get it to fire, he finally concludes that a is correct, there’s an electrical failure, and the experiment is over. He has proved that his hypothesis is correct.

  In the final category, conclusions, skill comes in stating no more than the experiment has proved. It hasn’t proved that when he fixes the electrical system the motorcycle will start. There may be other things wrong. But he does know that the motorcycle isn’t going to run until the electrical system is working and he sets up the next formal question: “Solve problem: what is wrong with the electrical system?”

  He then sets up hypotheses for these and tests them. By asking the right questions and choosing the right tests and drawing the right conclusions the mechanic works his way down the echelons of the motorcycle hierarchy until he has found the exact specific cause or causes of the engine failure, and then he changes them so that they no longer cause the failure.

  An untrained observer will see only physical labor and often get the idea that physical labor is mainly what the mechanic does. Actually the physical labor is the smallest and easiest part of what the mechanic does. By far the greatest part of his work is careful observation and precise thinking. That is why mechanics sometimes seem so taciturn and withdrawn when performing tests. They don’t like it when you talk to them because they are concentrating on mental images, hierarchies, and not really looking at you or the physical motorcycle at all. They are using the experiment as part of a program to expand their hierarchy of knowledge of the faulty motorcycle and compare it to the correct hierarchy in their mind. They are looking at underlying form.

  A car with a trailer coming our way is passing and having trouble getting back into his lane. I flash
my headlight to make sure he sees us. He sees us but he can’t get back in. The shoulder is narrow and bumpy. It’ll spill us if we take it. I’m braking, honking, flashing. Christ Almighty, he panics and heads for our shoulder! I hold steady to the edge of the road. Here he COMES! At the last moment he goes back and misses us by inches.

  A cardboard carton flaps and rolls on the road ahead of us, and we watch it for a long time before we come to it. Fallen off somebody’s truck evidently.

  Now the shakes come. If we’d been in a car that would’ve been a head-on. Or a roll in the ditch.

  We pull off into a little town that could be in the middle of Iowa. The corn is growing high all around and the smell of fertilizer is heavy in the air. We retreat from the parked cycles into an enormous, high-ceilinged old place. To go with the beer this time I order every kind of snack they’ve got, and we have a late lunch on peanuts, popcorn, pretzels, potato chips, dried anchovies, dried smoked fish of some other kind with a lot of fine little bones in it, Slim Jims, Long Johns, pepperoni, Fritos, Beer Nuts, ham-sausage spread, fried pork rind and some sesame crackers with an extra taste I’m unable to identify.

  Sylvia says, “I’m still feeling weak.” She somehow thought that cardboard box was our motorcycle rolling over and over again on the highway.

  10

  Outside in the valley again the sky is still limited by the bluffs on either side of the river, but they are closer together and closer to us than they were this morning. The valley is narrowing as we move toward the river’s source.

  We’re also at a kind of beginning point in the things I’m discussing at which one can at last start to talk about Phædrus’ break from the mainstream of rational thought in pursuit of the ghost of rationality itself.

  There was a passage he had read and repeated to himself so many times it survives intact. It begins:

  In the temple of science are many mansions — and various indeed are they that dwell therein and the motives that have led them there.

  Many take to science out of a joyful sense of superior intellectual power; science is their own special sport to which they look for vivid experience and the satisfaction of ambition; many others are to be found in the temple who have offered the products of their brains on this altar for purely utilitarian purposes. Were an angel of the Lord to come and drive all the people belonging to these two categories out of the temple, it would be noticeably emptier but there would still be some men of both present and past times left inside. If the types we have just expelled were the only types there were, the temple would never have existed any more than one can have a wood consisting of nothing but creepers — those who have found favor with the angel — are somewhat odd, uncommunicative, solitary fellows, really less like each other than the hosts of the rejected.

  What has brought them to the temple — no single answer will cover — escape from everyday life, with its painful crudity and hopeless dreariness, from the fetters of one’s own shifting desires. A finely tempered nature longs to escape from his noisy cramped surroundings into the silence of the high mountains where the eye ranges freely through the still pure air and fondly traces out the restful contours apparently built for eternity.

  The passage is from a 1918 speech by a young German scientist named Albert Einstein.

  Phædrus had finished his first year of University science at the age of fifteen. His field was already biochemistry, and he intended to specialize at the interface between the organic and inorganic worlds now known as molecular biology. He didn’t think of this as a career for his own personal advancement. He was very young and it was a kind of noble idealistic goal.

  The state of mind which enables a man to do work of this kind is akin to that of the religious worshipper or lover. The daily effort comes from no deliberate intention or program, but straight from the heart.

  If Phædrus had entered science for ambitious or utilitarian purposes it might never have occurred to him to ask questions about the nature of a scientific hypothesis as an entity in itself. But he did ask them, and was unsatisfied with the answers.

  The formation of hypotheses is the most mysterious of all the categories of scientific method. Where they come from, no one knows. A person is sitting somewhere, minding his own business, and suddenly… flash!… he understands something he didn’t understand before. Until it’s tested the hypothesis isn’t truth. For the tests aren’t its source. Its source is somewhere else.

  Einstein had said:

  Man tries to make for himself in the fashion that suits him best a simplified and intelligible picture of the world. He then tries to some extent to substitute this cosmos of his for the world of experience, and thus to overcome it. He makes this cosmos and its construction the pivot of his emotional life in order to find in this way the peace and serenity which he cannot find in the narrow whirlpool of personal experience. The supreme task — is to arrive at those universal elementary laws from which the cosmos can be built up by pure deduction. There is no logical path to these laws; only intuition, resting on sympathetic understanding of experience, can reach them.

  Intuition? Sympathy? Strange words for the origin of scientific knowledge.

  A lesser scientist than Einstein might have said, “But scientific knowledge comes from nature. Nature provides the hypotheses.” But Einstein understood that nature does not. Nature provides only experimental data.

  A lesser mind might then have said, “Well then, man provides the hypotheses.” But Einstein denied this too. “Nobody”, he said, “who has really gone into the matter will deny that in practice the world of phenomena uniquely determines the theoretical system, in spite of the fact that there is no theoretical bridge between phenomena and their theoretical principles.”

  Phædrus’ break occurred when, as a result of laboratory experience, he became interested in hypotheses as entities in themselves. He had noticed again and again in his lab work that what might seem to be the hardest part of scientific work, thinking up the hypotheses, was invariably the easiest. The act of formally writing everything down precisely and clearly seemed to suggest them. As he was testing hypothesis number one by experimental method a flood of other hypotheses would come to mind, and as he was testing these, some more came to mind, and as he was testing these, still more came to mind until it became painfully evident that as he continued testing hypotheses and eliminating them or confirming them their number did not decrease. It actually increased as he went along.

  At first he found it amusing. He coined a law intended to have the humor of a Parkinson’s law that “The number of rational hypotheses that can explain any given phenomenon is infinite.” It pleased him never to run out of hypotheses. Even when his experimental work seemed dead-end in every conceivable way, he knew that if he just sat down and muddled about it long enough, sure enough, another hypothesis would come along. And it always did. It was only months after he had coined the law that he began to have some doubts about the humor or benefits of it.

  If true, that law is not a minor flaw in scientific reasoning. The law is completely nihilistic. It is a catastrophic logical disproof of the general validity of all scientific method!

  If the purpose of scientific method is to select from among a multitude of hypotheses, and if the number of hypotheses grows faster than experimental method can handle, then it is clear that all hypotheses can never be tested. If all hypotheses cannot be tested, then the results of any experiment are inconclusive and the entire scientific method falls short of its goal of establishing proven knowledge.

  About this Einstein had said, “Evolution has shown that at any given moment out of all conceivable constructions a single one has always proved itself absolutely superior to the rest”, and let it go at that. But to Phædrus that was an incredibly weak answer. The phrase “at any given moment” really shook him. Did Einstein really mean to state that truth was a function of time? To state that would annihilate the most basic presumption of all science!

  But there it was
, the whole history of science, a clear story of continuously new and changing explanations of old facts. The time spans of permanence seemed completely random he could see no order in them. Some scientific truths seemed to last for centuries, others for less than a year. Scientific truth was not dogma, good for eternity, but a temporal quantitative entity that could be studied like anything else.

  He studied scientific truths, then became upset even more by the apparent cause of their temporal condition. It looked as though the time spans of scientific truths are an inverse function of the intensity of scientific effort. Thus the scientific truths of the twentieth century seem to have a much shorter life-span than those of the last century because scientific activity is now much greater. If, in the next century, scientific activity increases tenfold, then the life expectancy of any scientific truth can be expected to drop to perhaps one-tenth as long as now. What shortens the life-span of the existing truth is the volume of hypotheses offered to replace it; the more the hypotheses, the shorter the time span of the truth. And what seems to be causing the number of hypotheses to grow in recent decades seems to be nothing other than scientific method itself. The more you look, the more you see. Instead of selecting one truth from a multitude you are increasing the multitude. What this means logically is that as you try to move toward unchanging truth through the application of scientific method, you actually do not move toward it at all. You move away from it! It is your application of scientific method that is causing it to change!

  What Phædrus observed on a personal level was a phenomenon, profoundly characteristic of the history of science, which has been swept under the carpet for years. The predicted results of scientific enquiry and the actual results of scientific enquiry are diametrically opposed here, and no one seems to pay too much attention to the fact. The purpose of scientific method is to select a single truth from among many hypothetical truths. That, more than anything else, is what science is all about. But historically science has done exactly the opposite. Through multiplication upon multiplication of facts, information, theories and hypotheses, it is science itself that is leading mankind from single absolute truths to multiple, indeterminate, relative ones. The major producer of the social chaos, the indeterminacy of thought and values that rational knowledge is supposed to eliminate, is none other than science itself. And what Phædrus saw in the isolation of his own laboratory work years ago is now seen everywhere in the technological world today. Scientifically produced antiscience… chaos.