Pearson was a LEADING eugenicist. And, while we're at it, Pearson was such a 
gigantic fan of the Germans, that he changed the spelling of his own name from 
Carl to Karl. There is a very good biography of Pearson by UCLA historian of 
science, Ted Porter.

Chris
---
Christopher D. Green
Department of Psychology
York University
Toronto, ON M3J 1P3
Canada

[email protected]
http://www.yorku.ca/christo/
=========================

On 2012-10-03, at 6:06 PM, David Hogberg wrote:

>  
>  
>  
> You said:  But, if the Slate author was just shooting the breeze, I guess it
> don't make no nevermind what one is talking about.
> 
> 
> I suspect it was more to reach that end than any other.   I never knew, 
> though, that Pearson was a eugenecist.  
> 
> On Wed, Oct 3, 2012 at 5:58 PM, Michael Palij <[email protected]> wrote:
> On Wed, 03 Oct 2012 13:33:40 -0700, David Hogberg wrote:
> >
> >There's an interesting piece in today's *Slate: *
> >http://www.slate.com/articles/health_and_science/science/2012/10/correlation_does_not_imply_causation_how_the_internet_fell_in_love_with_a_stats_class_clich_.single.html
> 
> I'm not sure I understand the point behind the article, outside of the
> author expressing his annoyance with reading/hearing the expression
> "correlation does not imply causation".  The author calls this a "cliche"
> as though that were a quality that diminishes its truth value.  Assuming
> that the author didn't write the article because he had to write something
> because he is paid to write articles -- and this article has no other
> reason (well, maybe to show off some limited knowledge about statistics),
> I think that the author fails to have thought through the situation and
> fails to grasp the following truths:
> 
> (1)  Showing correlation is easy.  Given two sets of measurements,
> anyone can show whether they are associated or not (assuming that
> they have basic cognitive abilities and can use either graph paper or
> Excel with the data analysis toolpak turned on or an abacus or etc.).
> 
> (2)  Showing causation is hard.  There are a variety of reasons why
> this is true, starting with the definition of what a cause is.  For some
> background on how hard it has been to determine whether one has
> a causal relationship or not, consider this review of the history of
> theories of causation over the millennia, provided by the U.S. EPA:
> http://www.epa.gov/caddis/si_history.html
> Judea Pearl, a prominent contemporary theorist of causality, has a
> "cute" presentation that provides an alternate perspective on the
> history of causality:
> http://bayes.cs.ucla.edu/LECTURE/lecture_sec1.htm
> Physicians and epidemiologists have used Koch's postulates as a
> guide to establish whether a pathogen is the causal agent in an
> illness and though it helped to think about causality, it has had to
> be updated to include new understanding about the nature of pathogens;
> see the Wikipedia entry on Koch's postulates:
> http://en.wikipedia.org/wiki/Koch%27s_postulates
> Some people might also want to credit Hume, Mill, Bacon, Fisher,
> Wright, Popper, Sloman, etc., etc., but it might be worthwhile to
> to read Paul Holland's 1986 JASA article on "Statistics and
> Causal Inference"; see:
> http://fitelson.org/woodward/holland.pdf
> 
> But, if the Slate author was just shooting the breeze, I guess it
> don't make no nevermind what one is talking about.
> 
> -Mike Palij
> New York University
> [email protected]
> 
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> -- 
> David K. Hogberg, PhD
> Professor of Psychology, Emeritus
> Department of Psychological Science
> Albion College
> Albion MI 49224
> 
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