There are multiple ways in which to conceptualize the lesser intelligence of the human female. The best way to comprehend female intellectual inferiority to the superior mental capacity of the male gender is by constructing a statistical generalization based on the relative probability of trait distribution within a given population demographic. There are two fundamental operationalizations around which gravitate those statistical polarities synthesized from the standard gaussian distribution of sexual dimorphism in human intelligence; the first serves as an important basis upon which the typical gaussian distribution of gender-based differences in mental capacity rests. This can be readily observed in its primary function as being a scientific methodology which generates both an epistemological praxis and workable data on the basis of objective statistical and empirical information. A second function that needs to be emphasized is that such a mathematical tool also serves as a means of conducting a rigorous analysis of corresponding normal distribution curves whose final pupose is to calculate the relative probabilities which determine the likelihood of the average male being more intelligent than the average female and vice versa. This is achieved by standardizing the product of the raw score subtracted from its population mean and than further dividing the product by the standard deviation. The final step involves converting the end result into a z-score or standardized variable as statistically computed from a standard normal distribution table and than subsequently expressing the result as a percentage of the pattern of continuous probability distribution.
The analytical process itself functions as an underlying computational methodology which enables us to fully grasp the fact that the average male has significantly greater levels of ‘g’ than the average female; it is this process which highlights the fact that this can only be done by gaining an exact knowledge of what is the relative probability that the average male has significantly higher levels of intelligence than the human female. To be fair, the body of statistical data used for constructing such a level of probability shall be the gaussian distribution of male-female differences in mental capacity provided by the WISC-R, a test specifically designed to assess the intelligence of children between the ages of 6 - 16.5. It is also an IQ test notorious for furnishing experimenters with one of the most conservative measures of sexual dimorphism in human intelligence; the overall format of the test is structured in such a way as to largely lean in the direction of minimizing sex differences. Another important aspect of the data collected from the administration of the WISC-R is that the test is generally designed to assess the ‘g’ of solely of the developing child; although male intellectual capacity may be closer to the female in childhood, the gap in intelligence between both male and female genders widens by up to 10 points as the juvenile gradually matures into adulthood. In addition, it is also important to point out that, with the onset of old age, the average female IQ declines at a much more rapid pace than the male.
The data furnished by the WISC-R is converted into a z-value by means of standardizing the raw scores. This is done by statistically computing them on the basis of a standard normal distribution table. The equation that expresses this function is:
Z = X - mu / sigma, where Z represents the z-score, mu represents the mean population distribution, and sigma symbolizes the standard deviation of the continuous probability distribution of X. This is ultimately calculated by converting the end result into the z-values of the standard normal statistical tables, and than finally expressing the figure as a percentage of the probability of X.
A further, much more practical example is needed in order to fully elucidate this point. For the purposes of instruction, our mathematical calculation of the probability that the average man will be considerably more intelligent than the average female and vice versa shall be directly based on the raw data gathered by the WISC-R. The subsequent equation will look thus:
103.08 - 101.41 / 13.55 = 0.123 = 0.4510535 = 0.45 = 45%
This equation expresses the fact that the probability of the average woman being more intelligent than the average man is 0.45. Expressed as a percentage of its own probability distribution, it indicates that 45% of the female population demographic will be smarter than 100% of the male population demographic.
101.41 - 103.08 / 14.54 = - 0.115 = 0.5457775 = 0.55 = 55%
The solution of this equation expresses the fact that the average man has a 55% probability of being considerably more intelligent than the average female; this means that 55% of males will be substantially more intelligent than 100% of the female population demographic.If the values provided by the more liberal estimates of Stumpf and Jackson (1994) were substituted into the equation itself, than the probability that the average male is more intelligent than the average female would increase from 55% to approximately 65%; correspondingly, the probability that the average female would be more intelligent than the average male would decrease from 45% to 35%.
In the final analysis, we can see that the notion that the average male is likely to be just as intelligent as the average female is a propagandistic falsehood based on the radical social constructionist interpretive framework of Marxist cultural anthropology. It is impossible to maintain such a ridiculous notion when one recognizes the fact that the average male is about as likely to share equal intelligence with the average female as plants are likely to share the same anatomical structural isomorphism with mammalian species. The statistical tabulation of the probability that males have a 55% chance of having a greater likelihood of being more intelligent than the average female leads to the higher probability that males will be more intelligent than females. This is almost simultaneously translated into average male intelligence being considerably than average levels of female mental capacity.Thus, if males have a 55% probability of being more intelligent than the average woman and females have a 45% probability of being more intelligent than the average man, it follows that this directly leads, by logical extension, to more average men being significantly more intelligent than greater numbers of average women; the higher the probability that a certain proportion of men will be more intelligent than 100% of women means a substantially larger number of average men who are more intelligent than average women; this in turn leads to higher levels of overall male intelligence in relation to the female.In short, it is virtually impossible to deny the existence of sexual dimorphism in human intelligence. The above statistical computations yield one conclusion and one conclusion only: it reveals that most men are smart and that most women are dumber than shit is an irrefutable fact of the logic of scientific inquiry.
"La Garde meurt mais ne se rend pas. Vive l'Empereur Napoléon, vive la France!"
- Monsieur Nicholas Chauvin
This blog was written in defence of male superiority and patriarchal dominance; it was written with the idea in mind that all women are breeders and homemakers who belong in the kitchen. The blog itself was initially conceived of as being a great counter-offensive against the twin evils of both feminism and liberal socialism.