Keywords: Rind, statistics
Mathematical Statistics for Pedophiles
Type of Work | Explanation of the Rind statistics |
Abstract
This article is a textbook for those who study the “Meta-Analytic Examination of Assumed Properties of Child Sexual Abuse Using College Samples” (1998) by Bruce Rind, Philip Tromovitch and Robert Bauserman.
The essential principles of probability theory, correlation analysis, and statistical tests theory are explained. Among which path analysis, variance analysis, regression analysis, contrast analysis, and sermi-partial correlational analysis are expounded.
More and more science influences our everyday lives. And purely academical calculations by Bruce Rind, Philip Tromovitch & Robert Bauserman (1998) may influence our politics, morals, education, and privacy. As the scientists meta-analyzed 59 studies on child sex “abuse” experience in college students’ childhood, and it is clear that keeping children in families is much more harmful and dangerous than adult-child sex itself!
What does it mean for us?
- It means that the right to privacy for children tones with the right to privacy for pedophiles.
- It means that anti-pedophiliac genocide must be stopped, and parents must be imprisoned for keeping children as their property, as slaves.
- It means that child anti-sex abuse must become a crime,and if a child wants sex, the sex is by no means abuse.
Of course, Bruce Rind et al. are afraid to make such conclusions. Only pedophiles are in great need of the truth. That’s why pedophiles must embalm the Meta-Analysis results. For this purpose they have to understand mathematical statistics and know how to reply to the moralists’ insinuations.
My text is a fortification for pedophiles. Its basis is probability theory, its walls are statistical tests. They will withstand any moralists’ lie about harmfulness of fornication, and one may fire back with correlation analysis.
I hope that truth will annihilate morals.
- Because of the mathematical formulas, the text is given here as a .PDF document: rind-statistics.pdf - Ipce
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