Re: [ga] WHOIS: Statistical note.

[eric@hi-tek.com]

There are clearly two types of statistics;
One to find out facts and data.
And the other to help you prove a position.
Clearly these statistics were gathered to help prove a predetermined
position.

Eric

Thomas Roessler wrote:

>    One reader of the [1]WHOIS Task Force's report sent me a private
>    comment about the statitsical considerations section of that report,
>    pointing out that there is no reason to suppose that the statistics of
>    a self-selected sample can be modeled by a Gaussion or any other
>    random model. This is, of course, true: The fact that the respondents
>    were [2]self-selected can add any systematic bias, and we don't know
>    what that bias looks like. However, we know that this bias makes the
>    results worse. Thus, error margins derived from a random model
>    underestimate the errors. Put differently: If you couldn't derive a
>    conclusion assuming the sample is random, you certainly can't derive
>    it when the results come from a self-selected sample.
>
> References
>
>    1. http://www.dnso.org/dnso/notes/whoisTF/
>    2. http://www.capitalcentury.com/1935.html
>
> --
> Thomas Roessler                        http://log.does-not-exist.org/
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