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Andre

Lessons for scientists

So when you are working on your scientific project and things don't add up, what do you do?

Perhaps this helps:

http://www.nsrl.ttu.edu/personnel...yl-Chesser%20and%20Baker-2006.pdf

I would call this mandatory reading for scientists

billiards

Interesting read. I guess it's all about honesty, and humility. I would say if things don't add up, look for a new theory, but then the article did stress that "remarkable theories require remarkable evidence". So perhaps you look for more evidence...?

Andre

billiards wrote:

but then the article did stress that "remarkable theories require remarkable evidence". So perhaps you look for more evidence...?

That's one of the things I've got some problems with, it's kind of a fallacy. Something is right or not but the convincing power is in evidence. mammoths should have a lot of convincing power. Wink

Wink

MacGyver1968

Re: Lessons for scientists

Andre wrote:

So when you are working on your scientific project and things don't add up, what do you do?

I generally throw things...beat my head against the wall...curse...then re-check everything to make sure I didn't make any rookie mistakes.

scpg02

Re: Lessons for scientists

MacGyver1968 wrote:

I generally throw things...beat my head against the wall...curse...then re-check everything to make sure I didn't make any rookie mistakes.

That sounds so familiar.

Andre

Re: Lessons for scientists

MacGyver1968 wrote:

I generally throw things...beat my head against the wall...curse...then re-check everything to make sure I didn't make any rookie mistakes.

And then?

Happen to read this?:

Quote:

...One day a graduate student brought her laboratory notebook to one of our group meetings. She looked at us, almost in tears, and blurted,
“I couldn’t find any differences between the experimentals and the controls. What did I do wrong?” We were grateful for her honesty. Our
retraction of the Nature paper had shown us that problems in quality control can arise even with the best intentions. Our scrutiny of the
published literature reveals that many scientists are less than careful about such matters. Professors, graduate students and technicians
all have preconceived ideas of where their data may lead them...

Alternately you could cook up something. I can see that seems to happen a lot.

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