3 in 25 million (the Oz population) is pretty insignificant too (except to those who died and they are no longer around to care). We have the most venomous snakes in the world which slither about in the outback where few people live and few go. So, you are likely to be pretty safe.
But the raw number is pretty scary. And that's what stats are used for these days: to scare you into thinking 'social' 'issues' are terrible when they aren't and aren't when they are. That done, taxpayers' money can be demanded to 'fix' the 'problem' with some social engineering.
Our PTB collect statistics in a very haphazard manner and use them to scare by presenting them to meet financial objectives. It certainly isn't to actually help you. Most people have only the very slightest grasp of statistics gleaned from the news media and bamboozling them is a doddle.
You are more likely to be bitten by a venomous statistic in Oz than by a snake.
Our media - even our many levels of Gummunt - are snake charmers.
It isn't as though all the stats themselves are 'true'. Most are incomplete: they are often just guesses; they are all too often extrapolated from a small population onto a larger one; some are downright fictitious.
In the DSM (the shrink's manual) there is a category called 'Factitious Disorder' which does not mention statisticians nor women who cry rape whenever they have fornicated in an unsatisfactory manner. These women can be catastrophic too.
As catastrophic as a feminist-inclined Gummunt Minister.
Stats are used to ask further questions and those too are all too often the wrong questions or again designed to confuse, outrage and gain funding. Hey, it employs otherwise unemployable ladies (usually) and gives them Titles, like 'Director'.
A customer pointed some salient 'issues' with stats out the other evening. First though, before I pull his pint, let me just say that some stats are useful and true. Figuring out which though would defeat even those who have graduated from our Universities so full of those factitious stats that they pour from their lips like drool.
So to Anthony Esolen. A litre of Ale (1.75 pints or thereabout depending on ambient temperature and pressure) was sat upon the bar for him.
Statistics We Refuse to Collect
“There are no statistics!” cried a critic of an article I wrote for Crisis a couple of weeks ago. I had asked a prominent Jesuit to open his eyes and look at the vast human misery caused by the breakdown of sexual mores in the West.
Had I laced the piece with statistics, people would have complained that I had failed to listen to actual human beings and their woes. Instead I recounted stories; and they were by no means the worst that I could have told.
Customers might also like to consult Darrell Huff's capital little book on Huffograms. How to deceive with charts. Sometimes a pie is venomous, like some snakes.Ah, statistics. Mathematics was my first love, and I know a lot about probability and statistics, enough to know that the worth of the latter depends not just upon the keenness of your observation, but on the questions you ask in the first place. My first encounter with the deliberate fuzzing of numbers in order to tell political lies was when I read James Burtchaell’s book, Rachel Weeping: The Case Against Abortion.
In that book, Father Burtchaell followed the threads of statistical fabrication and error, repeated, embellished, misapplied, and divagating, so that politicians could say, without any sense of unreality, that hundreds of thousands of women used to die every year from “back alley” abortions.
(No less an authority than abortion advocate Mary Calderone, fifteen years before Roe v. Wade, said that almost all illegal abortions were performed by a doctor or a nurse, and were safe, with antibiotics ready at hand to protect against infection. The story changed when it needed to change.)
From that point on, I have given little credence to statistics that fly in the face of common sense and common observation, or that are vitiated by a flaw in the question.
Let me give an example. Common sense tells us that cohabitation is less stable than marriage, because each person knows that he or she can pack up and leave without legal consequence, and without qualms for having broken a sacred vow.
It is also more volatile, since by the testimony of many who engage in it, it is a trial run. Youth, instability, volatility, and sexual passion make for quite a canister of nitro-glycerine.
Ahh. Domestic violence. Another 100,000 stat in Oz. No-one gives a damn that 100,000 babies are killed in the womb by their mothers and do not even get include as the grossest and most egregious form of domestic violence in the DV stats. Because it is all about women.We know that a girl is far more likely to be beaten by her live-in boyfriend than is a wife by her husband. But if for ideological reasons you want to obscure this fact, and if you don’t care overmuch for the safety of the girls you are putting at risk, or rather if you do wish the girls well but you hate marriage even more, you will fold the two things together, and invent the category “domestic violence.”
|Official Bullshyte. But people buy it through Taxes.|
100,000 DV incidents a year in Oz (a guestimate as the numbers from each State and Police force are not collated nationally) include - but do not state - two teenage brothers fighting on the front lawn are an 'incident':
two lesbians having a disagreement over who should make the sammich and resorting to throwing crockery (lesbian violence runs at some 12 times man-woman DV) are an 'incident':
Man and woman shouting at one another about overspending on face cream when the pantry is almost bare is an 'incident'.
But there are 'official' exemptions too. Aboriginals for whom it is 'traditional' to abuse one another: and of course the Muslims who give 'how to beat your wife' lessons in the mosques. These are never even indentified. No 'sub-stats for them.
All 'incidents' are considered violence against women. Despite at least 40% being against men. But hey, let us not mention that. Official stats don't.
No, we are fed by every Gummunt and taxpayers funded body in the bizzo that 1:4 (that is 25%) of women will be sexually assaulted. Not counting the 9 year old fourth wives deflowered by some hairy old guy who has knocked her quiet with his koran.
|68k in 4 mil. 0.017|
In Tasmania there are some 3500 such counted 'incidents' a year and the police, when questioned, will admit that it is always the same few yobs no more than 1000 in number for whom they are repeatedly called out. 1000 in 500,000 population. Work out the percentage for youselves. The mental exercise will do you good.
All 'incidents' are portrayed as violence against women. Follow the money all the way to shelters, free housing, 'Directors' of Wimmin's cooperatives of a dozen ilks all getting huge salaries and perks, and court fines from the menfolk. Oh, and police budgets too.
Meanwhile 100,000 babies a year are 'terminated' and not by Arnie 'I will be back' the robot but by a Doctor being paid $5000 a dismemberment by a mother. Do a quick stat on the dollar value to the GDP.
We are urged to be compassionate to these unfortunates.Or suppose you want to obscure the fact that in the United States, almost all people who contract the HIV virus are either homosexual men, or people who have sexual relations with, or who share infected needles with infected people—in other words, that homosexual men are the gate of the disease and by far those most likely to suffer it.
You can deflect attention from one form of probability to another, or you can ask a misleading question. So you can say that “more than half of new HIV cases are among heterosexuals,” a statement that is almost meaningless, given that heterosexuals outnumber homosexuals by 40 to 1.
That would defeat almost any Uni graduate today. Heck over half of the graduates are wimmin with the cradle marks still on their bums and an attitude so venomous toward men that they would cheer that ALL men get blamed.What we want is to isolate the sexual factor. Given that A is a heterosexual man who does not use intravenous drugs, what is the probability that he will contract the HIV virus, relative to that of B, the homosexual man who also does not use intravenous drugs?
Or you will ask not about the probability function but about its first or second derivative. You ask, “Is the rate of increase of HIV infection among homosexual men lower or higher than the rate of increase among heterosexuals generally?” That too is almost meaningless.
When a certain population has been saturated with infection and exposure to infection, its rate of increase will level off, and at that point just about anything else can be made to look more virulent, more threatening. It is like saying that a car just beginning to pull out of a driveway has a greater acceleration than a car speeding at ninety down the highway.
It does, but so what?
Journalists used to know a little of history and the English language. They hardly know those, now, so I should not expect them to grasp the concept of conditional probability.
I hear, for instance, that “a majority of child abusers are heterosexual.”
Again, meaningless; more people die by car accidents than by lightning, but that does not mean that driving a car is more dangerous than is standing in a golf course during an electric storm, holding your nine-iron high above your head. It merely means that a lot more people drive a car than are outdoors welcoming the lightning. But the statistic also does what the “domestic abuse” statistics do.
It folds together unlike things.
Let me explain.
A normal man does not commit incest.
He does not abuse his own children. What he wants to know is, “Given Mr. A who is heterosexual, and who does not live in my house, what is the probability that he will abuse my daughter, relative to that of Mr. B who is homosexual, abusing my son?”
That is just a complicated way of specifying the condition, and removing from your statistic what for your purpose is irrelevant noise. But if you put it that way, you get something like what the priest-scandal should have taught us by experience.
Let me then ask some relevant questions.
What percentage of people over a certain age (20, 25, 30, 40) are or have been once-married, without divorce? We can call this the basic Index of Marriage. The converse we can call the Index of Unmarriage.
What percentage of people over a certain age have never given or received a serious proposal of marriage? We can call this the Index of Loneliness.
What percentage of marriages and quasi-marriages end in divorce? Suppose you have a society in which a lot of people don’t bother to marry in the first place, but they shack up, they make babies, and more often than not they split.
The divorce rate in that society may level off or take a slight dip, but that will mask the very real confusion beneath. I define a “quasi-marriage” as any sexual liaison that lasts more than one year. We can call this the Index of Sexual Dissolution.
What is the average number of children a woman will bear within wedlock? This is a combination of two statistics, each of them important, but for different reasons. The first is the birth rate: a country with modern medicine will age and lose population over time if the rate is less than 2.1, unless the shortfall is made up by immigration.
The second is the percentage of children born within wedlock; in the United States, slightly less than 60 percent.
It seems to me that a low out-of-wedlock birth rate, such as obtains in Italy, is of itself nothing to cheer about, if no one is having any children at all; and a near-replacement birth rate, such as obtains in the United States, is also nothing to cheer about, if two out of five children are born into moral and social chaos. We can call this statistic the Index of Family Richness.
What is the average number of years, out of his first twenty, that a child will live without both his mother and father in the home, setting aside children adopted at an early age, and children who have lost a parent to death? We can call this the Index of Moral Orphanage.
What is the median number of pornographic images that a boy will have seen before his fifteenth birthday? I specify “median” rather than “average,” because the median will give the more conservative number; an average would be much higher, as the minimum is bounded by zero, and there is no maximum. We can call this the Male Index of Moral and Intellectual Rot.
What is the percentage of people between 20 and 30 who have never fallen into regular fornication, but who are either married now, or who have been in a normal relationship of at least six months’ length, whether by dating or by courtship? That would have been almost everybody, in my parents’ time, and very few people now. We can call this the Index of Pre-Marital Health.
What is the percentage of people between 15 and 30 who have had sexual relations with someone who was a stranger—that is, someone whose name they did not know, or with whom they had not, before that day, exchanged more than fifteen minutes of conversation? We will call this the Index of Lonely Whoredom.
What percentage of people, arriving at the age of thirty (then 35, then 40), are married, without ever having known a divorce or the breakup of a quasi-marriage? We will call this the Index of Clear Skies.
What is the number of children per 1000 women of child-bearing age, both those born and those murdered before birth, conceived outside of wedlock? How does that number compare with those conceived within wedlock? We can call this the Ratio of Wrong and Right.
Most of these questions have not been asked.
Is there anybody alive in the United States who believes that the answers will not range .....
OK, a lot to consider. I suggest sitting down with a pint of Ale with Integrity and put your skeptic hat on. Then ponder the Truth, meaning and intended deception of the next lot of bogus numbers you come across from some impeccable (hah!) media source.from disappointing to staggering?
Thank Anthony for the new Indexes to consider.