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Author Topic:   More Bunk Science
Taq
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Posts: 10085
Joined: 03-06-2009
Member Rating: 5.6


Message 43 of 64 (630267)
08-23-2011 12:36 PM
Reply to: Message 38 by Bolder-dash
08-22-2011 1:21 PM


Re: RTFP
Yea I read the paper. It appears they measured how much each person's face deviated from a standard model, and according to their numbers, given the margins of error of, it looks statistically impossible to draw any conclusions at all.
It would seem that you are not as intelligent as the authors of the paper because they were able to draw conclusions that were backed by statistically signficant results.
If the people who choose co-operate more did in fact have more lop-sided faces, maybe it just means that people with lob-sided faces are dumber, and not that beautiful people are less co-operative because it is some evolutionary artifact. Isn't that just as reasonable of a conclusion?
So you complain about the conclusions of the study, and then add your own conjecture on top of the conclusions that you are complaining about. A little consistency would be nice.
Another reasonable conclusion to draw would be that when people play a game (say shooting at a bunch of digital policeman and running over pedestrians on a video game for instance), its not a window into their soul, and a useful tool for making up bogus scientific conclusions
It is a window into how people cooperate with other living and breathing people. That's the whole point. Also, you have yet to show that the conclusions are bogus.

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 Message 38 by Bolder-dash, posted 08-22-2011 1:21 PM Bolder-dash has not replied

  
Taq
Member
Posts: 10085
Joined: 03-06-2009
Member Rating: 5.6


Message 64 of 64 (630588)
08-26-2011 1:02 PM
Reply to: Message 62 by Bolder-dash
08-26-2011 12:09 PM


Re: The search for the great bin of useless studies
And regarding those numbers that you love so much that they block your view of the forest, there is no way that you could tell me that if they played this game with 10,000 participants instead of 100 that the numbers couldn't just as easily flip and go the other direction.
Do you even understand how statistical analyses work? The 0.015 p-value tells us that there is a 1.5% chance that the null hypothesis is correct. There is a 98.5% chance that the hypothesis is correct. That seems pretty good to me. Why do you have a problem with this?
There is no such significant trend here no matter what p value you use.
So what statistical tests should be used to determine a statistically signficant trend? What analyses should they have used instead of a t-test? Should they have used a Chi-squared test?

This message is a reply to:
 Message 62 by Bolder-dash, posted 08-26-2011 12:09 PM Bolder-dash has not replied

  
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