The Unjust Review of Homophobia Explained 3/6

END OF MY REPLY OF 2/6 AGAIN:

To put that in a nutshell: Once you accept causal decision theory, you also accept a causal myth/story which has been told; or differently put: At a time when -- as the reviewer himself or herself stated -- the causal links of a correlation are not too obvious, as in the current case, there is too little reason to argue about decisions using a causal decision theory.... even if it is -- as I myself believe -- better than evidential decision theory in the very end. Before the causal story is verified you should not base decisions on causal decision-theoretic arguments....

REVIEWER:
(2) The first technical flaw concerns the estimation of the probability p(s2/c2). This parameter, in the author's words from the payoff matrix, is the probability that the genetic factors for female fecundity and male homosexuality are present given the focal individual is homosexual. The author estimates p(s2/c2)=0.14 from Camperio Ciani et al (2004) paper. But, unless I misunderstand where this estimation comes from, in Camperio Ciani et al (2004), 14% is the part of variance of the probability of being homosexual explained by the number of homosexual in relatives in a logistic regression. So, it can not be used as an estimate of p(s2/c2). It is a major flaw because the payoff matrix is the central part of the paper. Furthermore, the only estimate the author proposed for the parameters of this matrix is p(s2/c2) which is completely wrong as long as I understand.

MY REPLY:
This criticism is entirely valid and I thank the reviewer to have taken the pains to describe it. It is a terrible mistake which I made and which shows my ignorance of basic statistical terminology. However, what I take to be 14% can be replaced in the paper by some fraction q which gives the fraction of those homosexuals in a sample group whose sexual behavior has been caused by the genetic factor in question (maternally inherited "crazy about men"-gene).

Category:

Science & Technology

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• gay
• homophobic
• sex
• Bayes's
• Bayes
• Theorem
• homosexuality
• peer
• review
• injustice
• unjust
• fallacy
• decision
• theory