# The Humble Tautology And Probability

Start with the premises P_{1} = “All men are mortal” and P_{2} = “Socrates is a man” and from them we want to know the status of the conclusion C = “Socrates is mortal.”

Well, we all know this:

(1) Pr( C | P_{1} & P_{2} ) = 1.

Because, of course, C is validly inferred from these premises. Now let’s think of a truth; any will do. How about T_{1} = “All bachelors are unmarried”? If you don’t love that one, substitute in another; again, any will do. Then let’s append this truth to our list of premises:

(2) Pr( C | P_{1} & P_{2} & T_{1}) = 1.

It is a fact (a truth) of logic that adding a truth to a list of premises (or to the conclusion) does not change the status of a complete argument^{1}. This works in math, too, and for the same reason. There is, further, no controversy about this. Just as there is no controversy that adding not just one, but any number of truths, to a list of premises does not change the status of the argument. So:

(3) Pr( C | P_{1} & P_{2} & T_{1} & T_{2}) = 1,

where T_{2} is another truth.

A (logical, not grammatical^{2}) tautology is a truth; it is a statement, perhaps about contingent events,

which is true no matter what; true “in all possible worlds” as some philosophers might say. Examples: T_{2} = “Tomorrow it will rain or not rain”, T_{3} = “You either have lung cancer or you don’t”, T_{4} = “The coin will land heads or it won’t.” No matter what happens, it will be true that tomorrow (anywhere, anytime) it will rain or it won’t. And it is perfectly true that you (and everybody) has lung cancer or not. I could have substituted in “bladder cancer” or “ebola sickness” or any other malady and the tautology would still be just as true.

I like Stanford’s Encyclopedia of Philosophy’s words about tautologies: “A tautology is a truth, and as certain as anything can be, but it is never the answer to any interesting inquiry outside mathematics and logic.”

Tautologies are not interesting because they are truths like those we appended to our first argument. If we swap in T_{2} in (2) nothing happens because this tautology is a truth and adding a truth to a list of premises does not change status of an argument.

Rain or its absence can have something to say about the mortality of men, but the truth that it will rain or it won’t has none. We could have substituted any truth, or any tautology and (2) and (3) would remain the same.

Let’s swap P_{1} for P_{3} = “Most men are mortal”. Eq. (2) becomes

(4) 0.5 ≤ Pr( C | P_{3} & P_{2} & T) < 1.

Again, any truth will do, and we infer from the English meaning of “most” that “at least half” of men are mortal.

Let’s change the argument entirely. You want to know the probability that C = “I have bladder cancer” is true. Well, what premises do you offer as probative? How about (a modified) T_{3} = “You have bladder cancer or you don’t.” Then this is the best we can do:

(5) 0 < Pr( C | T_{3} ) < 1.

In particular, the probability of C given T_{3} is *not* 1/2. Many (oh, but many) people have thought it was.

Actually, to get (5) we must supply a premise which is hidden in the words of C. If we did not supply this hidden premise, (5) would technically be “unknown” and that would have been the best we could do. The hidden premise is evidence that C is contingent; that is, it is not (logically) necessarily true that you have cancer or that you do not have cancer. But we do know that having cancer is contingent. So it would be better to un-hide this as E = “Having cancer is contingent” and re-write the result:

(6) 0 < Pr( C | E & T_{3} ) < 1.

The lesson is: never let just the words or notation used fool you into thinking that that is all there is to a problem. Now, because any truth can be substituted, we could re-write (6) as

(7) 0 < Pr( C | E & T_{1} ) < 1,

where now it should be obvious that the probability is not 1/2.

One last example. Let C = “The coin will land heads” and ask:

(8) Pr( C | T_{4} ) = ?

where recall that T_{4} = “The coin will land heads or it won’t.” This probability is *not* 1/2 and for the same reasons as last time. But we can also see that we have forgotten to un-hide our evidence that a coin flip is contingent. This leads us to:

(9) 0 < Pr( C | E & T_{4} ) < 1.

If you are unhappy about this and insist that (9) is 1/2, then I invite you to swap in another truth for T_{4}, such as “All bachelors are unmarried.” Some will still be left with the feeling that (9) just is 1/2, but that will be because they are mentally supplying a premise which is not given; a premise like, “There is a coin, just one side of which is labeled ‘head’, which will be thrown once and which can land ‘head’ or ‘not head’ (‘tail’).” That premise (which also contains E) does give 1/2.

To see the difference between implied premises, I’ll leave you as homework the problem of a die throw. C = “A six will show” and let T_{5} = “A six will show on a die or it won’t.” Why do you feel the probability of C is 1/6 and not 1/2? What premises are you using?

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^{1}Of course, irreplaceable truths begin many arguments (especially in math), but once the argument is complete—has all its premises and conclusions—adding a truth changes nothing. (2) is easily proved: have a go.

^{2}A grammatical tautology is a needless repetition of words such as (as from Rumpole case) “enthroning coronation”, all brought to you by the Department of Redundancy Department.

There are two doors. Behind one of them there is a tiger. Open one door. What are your chances?

or

There is one door. There may or may not be a tiger behind it. What is the probability of finding a tiger?

or

You are Columbus pre-1492. What is the probability* that there is an unknown continent between you and your destination?

Off-topic – for whch I apologise – but too sweet to miss ; http://news.yahoo.com/cancer-science-many-discoveries-dont-hold-174216262.html

‘During a decade as head of global cancer research at Amgen, C. Glenn Begley identified 53 “landmark” publications — papers in top journals, from reputable labs — for his team to reproduce. Begley sought to double-check the findings before trying to build on them for drug development.

Result: 47 of the 53 could not be replicated. He described his findings in a commentary piece published on Wednesday in the journal Nature’

Mr. Power,

Nothing new about that. Look at this.

http://www.plosmedicine.org/article/info%3Adoi%2F10.1371%2Fjournal.pmed.0020124

There’s a 50-50 chance what you don’t know won’t hurt you.

Uncle Mike,

Really? I don’t know where the monster under my bed goes whenever I look there. It has caused me no end of anguish. I also don’t know why the non-hurting 50% always seems to go to someone else.

I don’t want the whole world — I just want your half.

For no particular reason, the above two comments remind of the following poem.

(Sorry, Mr. Briggs, I have nothing relevant to contribute to this post. No tautology, no probability, no numbers. No humbling Chinese proverb, maybe little bit of truth.)

The Benefits of Ignorance by Hal Sirowitz

If ignorance is bliss, Father said,

shouldn’t you be looking blissful?

You should check to see if you have

the right kind of ignorance. If you’re

not getting the benefits that most people

get from acting stupid, then you should

go back to what you always wereâ€”

being too smart for your own good.

~

Good Poemsselected by Garrison Keillor.Dear DAV,

The unknown is never 50-50, but it is always unknown; until it isn’t. The glass is never half empty or half full. The invisible monsters under your bed could be GOOD monsters, but not even Baysians know the probability of that.

Well old skool gamers would never assume a ‘die’ to be a traditional six sided (D6) one. But most other folk would assume the word meant that and then base their answer on the fact they have six faces on a cube.

Meanwhile we would be asking what type of die is being used. Truly hardcore nerds even had D2 which would give ya 50-50 odds.

The problem is defining where it is legit to assume a word means what the dictionary says it means, math and logic problem types really have problems there because language isn’t nearly rigid enough for their purposes.

John Morris,

But no old school DM would assume that a d20 had a 5% chance of coming up 20, if that is what a player need to save his life.

Billy Baroo comes out of the bottom of the dice pouch and comes up 20 every time.