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- Path: sparky!uunet!mcsun!sun4nl!tuegate.tue.nl!rw7.urc.tue.nl!wsadjw
- From: wsadjw@rw7.urc.tue.nl (Jan Willem Nienhuys)
- Newsgroups: sci.skeptic
- Subject: Mars effect research (JWN)
- Message-ID: <6775@tuegate.tue.nl>
- Date: 1 Jan 93 13:56:53 GMT
- Sender: root@tuegate.tue.nl
- Reply-To: wsadjw@urc.tue.nl
- Organization: Eindhoven University of Technology, The Netherlands
- Lines: 45
-
-
- This is an answer to a post of Ertel of mid-December.
- Summary of Ertel's proposal: to test whether a certain group
- of athletes displayed a `Mars effect' that is very striking or
- just so-so, Ertel has proposed first to shift all athletes'
- birthdays by a full year. I objected to this procedure as the
- resulting distributions cannnot be counted as mutually independent.
-
- Ertel then proposed that each athlete's birthday be coupled with
- the birth time of a randomly chosen (other) athlete. This method
- was used before by Gauquelin and the Comit\'e Para.
-
- Here is my answer.
-
-
- Dear Professor Ertel,
-
- I think that random recouplings, of the type Gauquelin used,
- would randomize the data sufficiently. I do very well remember
- the Para procedure. Actually I advised Fran,coise Gauquelin to
- insert the passage on page 206 of the Euroskeptics Proceedings,
- because I thought it was the best evidence that Michel had
- earnestly and convincingly tried to control for diurnal and
- annual rhythms. The procedure has only one weak point. It would
- destroy any "synergistic" effects of the combination of diurnal
- and annual birth rhythms. This point you mention as a reason to
- favor your `Ertel preferred shifts'. But this "synergistic"
- explanation is so far fetched that the burden of proof rests
- squarely on the shoulders of those who propose it.
-
- I cannot comment on your argument #2, namely that additional
- astronomical variations would already provide enough randomization.
- I haven't seen the data, nor the computations. The fact that
- the 32 year cycle seemed to have mutated into a 31-year cycle
- worries me. Even so, I still think that your method can't
- yield more than about 10 independent pseudo random samples,
- and I think I have made clear that the burden of proof that
- it is 50 rather than 10 now rests on you.
-
- And by the way, I am still curious as to the Mars percentage of the 332 "Para
- champions". I can find out for myself (from the files you sent De Jager and
- Koppeschaar), if I know their names.
-
- Jan Willem Nienhuys
- A happy New Year
-