Pat Farrell;179980 Wrote: 
> P Floding wrote:
> > Negative results:
> > 
> > 1. We would like to prove that there exists red cars.
> > 2. We observe cars.
> > 3a. We see red car. We have proven that at least one red car exists.
> > or
> > 3b. We never see a red car. We didn't prove a single thing. This is
> > what's called a "negative result".
> 
> Pretty silly example. All you have to do is find one of anything to 
> prove that X exists.
> 
> A better hypothesis is that there are so many red cars that you can see
> 
> one if you sit at the Holland tunnel for even one hour, you will see 
> one, and from that you can extrapolate that there could be as many as Y
> 
> zillion red cars.
> 
> You could start with an analysis that 17 million cars are sold in the
> US 
> every year, and they last about 20 years, so there are about 340
> million 
> cars on the road. If 2% of cars are red, and you sample ten thousand of
> 
> them (sitting at the front of the Holland Tunnel for Z minutes) then
> you can test the hypothesis that red cars make up A percent of the
> cars, 
> and you should see one at the Holland Tunnel.
> 
> If you sat there measuring for a year of rush hours, and never saw a
> red 
> car, then you could claim that the probability of there being any red 
> cars is low. And you could back that up.
> 
> What you will not know that all the red cars are in California and 
> Florida....
> 
> 
> 
> -- 
> Pat
> http://www.pfarrell.com/music/slimserver/slimsoftware.html

It was a very simple example of why a negative result means nothing on
its own. I don't see any need at all to complicate matters.

As someone said above, if the reseacher is colour blind as well, then a
negative result will be guaranteed. Although he might not know it.


-- 
P Floding

No, I didn't ABX it. And I won't even if you ask me. (Especially not if
you ask me.)
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