Book:Universally Preferable Behaviour/3
A Framework For Ethics
Ethical propositions are different from other types of knowledge statements. If I say, “I like jazz,” that may be a true or false statement, but it is not generally considered binding upon you in any way. My preference for jazz is a mere statement of personal fondness; based on my statement, it is not incumbent upon you to either like or dislike jazz.
Similarly, if I say “I like vegetables,” that is also a mere statement of personal preference. However, if I say, “vegetables are healthy food,” then I have shifted from a statement of personal preference to a statement of objective fact. It is the difference between “I like ice cream,” and, “Ice cream contains milk.”
The fundamental difference between statements of preference and statements of fact is that statements of fact are objective, testable – and binding. If you value truth, it is incumbent upon you to accept the fact that ice cream contains milk, once it is proven.[1]
If I say that the earth is round, and I provide ample proof for this statement, it is no longer up to you to determine on your own whim whether the statement is true. If I can prove that the earth is round, then you are bound to accept it as true, unless you are willing to reject reason and evidence as the criteria for truth.
If I accept the validity of mathematical laws, I cannot arbitrarily reject a mathematical proof that conforms to those laws. If I do reject such a proof, I can no longer claim to accept the validity of mathematical laws. My acceptance of these laws means that I am bound to accept as valid those proofs that conform to these laws. The rejection of a proof that conforms to rational standards is a rejection of rational standards as a whole.
The scientific method, rationality itself, and mathematical laws are all examples of objective criteria for establishing the truth of a proposition. It is not my opinion that two and two make four – if you also accept that two and two make four, you are not subjecting yourself to my mere opinion, but to a rational truth.
Objective Truth
A central challenge in understanding the nature of truth is the realisation that “truth” does not exist in the world in the same way that a rock or tree does.
The concept “truth” is necessarily a relative term – though that does not mean a subjective or arbitrary term. The concept “health” is also a relative term – we compare “health” to sickness, and also to relative standards of health. What is considered “good health” for a ninety-year-old would scarcely be considered good health for a twenty-year-old. The definition of a long life is very different now than it was five hundred years ago.
This does not mean, however, that the concept of “health” is entirely relative and subjective. A ten-year-old dying of leukaemia is unhealthy by any definition – just as a twenty-year-old marathon runner is healthy by any definition. Currently, a man who lives to ninety has statistically had a long life, though that would change if medical technology suddenly allowed us to live to be two hundred.
As our definition of “health” expands, it does not invalidate earlier definitions, but rather extends them. If medical technology advances to allow ninety-year-olds to win marathons, then our definition of what is healthy for the aged will change – but that does not mean that the twenty-year-old marathon runner suddenly becomes unhealthy. Learning algebra does not invalidate arithmetic.
Truth also has value relative to necessity as well. Newtonian physics has been supplanted by Einsteinian physics, which has proven far more accurate in extreme situations such as extraordinarily high gravity or speed. However, sailors wishing to calculate the correct path across an ocean find Newtonian physics more than accurate enough. You wouldn’t want to send a spaceship to Alpha Centauri using Newtonian physics, but it is totally fine for getting a ship from Lisbon to New York. The labour involved in learning and implementing Einsteinian physics is thus a net negative for a sailor.
As a result, the sentence “Newtonian physics is less accurate than Einsteinian physics, but Newtonian physics is the best way to calculate a ship’s path” can be considered a valid proposition. Newtonian physics is thus both less accurate, and more appropriate.
If we wanted to drink the purest possible water, we would likely pay thousands of dollars per bottle. Unless we were enormously rich and highly frivolous, we would never pay that much to quench our thirst. It is true that pure water is better for us, but the price that purity requires hits a threshold of diminishing returns. Thus “purer is better” gives way to “purer is worse.”
Again, this does not mean that the purity of water is utterly subjective. Distilled water is always more potable than seawater.
Truth And Objective Reality
The concept of truth necessarily involves the concept of accuracy. If I am trying to shoot an arrow at a bull’s-eye, the accuracy of my shot is determined by how far my arrow lands from the centre.
What, then, is the “bull’s-eye” of truth?
Well, the truth of a statement is measurable relative to its conformity with objective reality.
Putting aside the challenges of language for the moment, if I point to a seagull and say, “That is an anvil,” I am clearly mistaken, because anvils are inorganic, and cannot fly. The truth value of my statement is measured relative to the objective facts of reality. Since the seagull is not in fact an anvil, my statement is untrue.
Naturally, this equation between truth and reality requires that language and our senses be considered relatively objective. There are many good reasons to believe that both language and sense evidence are in fact objective; we could get into a complicated discussion about this, but it should suffice to say that since you are using your eyes to read a book written in a human language, we can at least agree that your eyes, and the language we share, are at least objective enough for you to accurately process what I am writing. If they are not, we have nothing to talk about, and you haven’t understood anything I’ve written anyway, so this sentence will be equally meaningless, and might as well have been rendered in “Wingdings”.
Assuming you can tell the difference between the above two fonts, we can reasonably continue.
Accuracy And Consistency
It is impossible for me to accurately paint a cloud, since in the time it takes to paint it, the cloud continually changes. I can accurately paint a photograph of a cloud, which has become frozen in time.
If I spend an hour trying to paint a cloud, and then I ask you whether or not my painting is an accurate representation of that cloud, you must necessarily reply that it is not.
In other words, where there is no consistency, there can be no accuracy.
When we dream at night, our perceptions are that the rules of “matter” and “energy” are in a constant state of flux – we are immune to gravity, and then we fly on the back of an elephant, and then we can walk through walls. It is no more possible to develop a “scientific physics of dreams” than it is to accurately paint a cloud.
Logic, science and truth, then, are impossible in the absence of consistency.
Fundamentally, the laws of logic are derived from the behaviour of matter and energy, at least at the perceptual level. If I tell you to throw a ball both up and down at the same time, I am asking for the impossible, which you can easily test by attempting to fulfil my request. If I tell you to plough both the north field and the south field simultaneously, you will be unable to comply. If I demand that you turn a rose into a donkey, my demand will never be met.
Perceptual reality is consistent and objective – and it is from this consistency and objectivity that we derive the laws of logic. Our statements about reality can only accurately represent reality as a direct result of this consistency and objectivity.
The fact that seagulls do not arbitrarily turn into anvils – or vice versa – is the root of our capacity to accurately judge the statement: “That is a seagull.” If seagulls spontaneously and continually changed their nature, we would be unable to make either true or false statements regarding them – or anything for that matter.
This is the root of a key criterion of the scientific method – reproducibility. If I make a universal claim about the nature of gravity, then you should be able to reproduce that claim in your own environment. If reality were not consistent, then reproducibility would be an irrational criterion for the establishment of truth.
If you were a maths teacher, you would be very unlikely to accept a wrong answer from a student, even if that student claimed that his answer was “right” when he wrote it down, but just somehow changed in the interim.
Thus we can accept that we must measure the validity of a statement relative to objective reality – both empirically, and logically. Logic as a discipline arises only as a result of the consistency of reality; empirical observations are also valid or invalid only as a result of the consistent nature of reality.
The Existence Of "Truth"
Truth, then, can be measured according to two central criteria:
- Truth is a measure of the correlation between the ideas in our minds and the consistency of rationality, which is directly derived from the consistent behaviour of matter and energy in the real world.[2]
- Truth is also a measure of the correlation between the ideas in our minds and the nature and behaviour of matter and energy in the real world.[3]
The first criterion is a measure of the consistency of ideas with themselves – and such consistency is a requirement because reality is consistent with itself. If I say, “I do not exist,” that is an example of an idea that is inconsistent with itself, since I must exist in order to utter the sentence. The second criterion is a measure of the accuracy of ideas relative to empirical observations of objective reality.
Empiricism Versus Rationality
Empiricism can be thought of as the ability to instinctively catch a thrown ball, or measure its movement; rationality is the ability to predict and understand the path that ball will take based on universal principles. Clearly, if balls randomly went in any and every direction – and magically transformed into flocks of doves to boot – we would be utterly unable to predict their behaviour.
Thus, since matter obeys immutable laws, our theories about matter must also obey immutable laws. If I know nothing about baseball, but watch a baseball game where the players always obey the rules, it would be irrational for me to formulate a theory about the rules of baseball that directly contradicted the behaviour of the players I was watching. Since the actions of the players are consistent, any theory I develop regarding the rules that guide those actions must also be consistent.
This requirement for consistency is one of the most basic requirements for truth. Since reality is consistent, theories regarding reality must also be consistent.
In fact, the first hurdle that any theory must overcome is that of internal consistency.
Internal Consistency
If I am an architect, and submit a plan to build a house, the first hurdle that I must overcome is whether or not my house can be built at all. If I submit wonderful plans for a house constructed entirely of soap bubbles, I will never get the commission, since such a “house” could never stand.
Similarly, if an engineer submits a plan for a bridge, the first criterion that must be satisfied is whether or not the bridge will stand. Other considerations such as longevity, aesthetics and so on will only apply if the bridge is physically viable to begin with.
It would be illogical – not to mention highly unproductive – to build a bridge out of random materials, using random “calculations,” in order to find out whether or not it will stand. Since physical laws are consistent and universal, it is relatively easy to figure out whether or not a bridge will stand before building it.
There are two ways to determine the viability of the bridge before building it. The first is to look for internal inconsistencies within the premises and calculations that claim to support the viability of the bridge. If there are significant errors in the calculations justifying the weight that the bridge can support, then the bridge will likely be either over-designed, or under-designed. If erroneous mathematical calculations result in a strength of minus fifty tons per square foot at any part of the bridge, then it certainly will not stand – or, if it does, its viability will be only accidental, and not reproducible.
The mathematical calculations supporting the viability of the bridge must thus be internally consistent before any other considerations can be taken into account.
In computer terms, code that does not compile cannot be tested.
This is true in the scientific world as well. Theories are always checked for internal consistency before they are submitted to empirical tests. The reason that internal consistency is so essential is that since theories claim to have value relative to reality, and reality is internally consistent, any theory that is not internally consistent cannot have value relative to reality.
Only after the internal consistency of the calculations has been established can the degree to which the bridge meets the specifications be reviewed. It is possible to write internally consistent specifications for a tiny bridge built entirely out of balsa wood, but unless the engineer is writing an article for a model rail-roading magazine, his specifications, though consistent, will fail to meet any industrial requirement.
Once we have determined that the bridge will stand, we can then determine whether or not it meets our specific needs, such as supporting the weight of pedestrians versus trains.
In the realm of economics, the same criterion applies. If my economic theory requires that prices go up and down simultaneously, then it cannot be valid, since this is impossible. Once my theory has been checked for internal consistency, I can begin to look for evidence, and/or begin using my theory to make proactive predictions.
Thus, we can see that any theory, to be valid, requires the following:
- Internal consistency (logic).
- External consistency (testability).
With this in mind, we can now turn to the core subject of this book.