Seems like befit of understanding why it didn't work is proportional to degree of evidenced/theory it should have.
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Replying to @flourneuro @Darren_Rhodes and
I'm not sure if follow. So you mean if it testing a well specified theory then it's easier to see where it failed? I can think of counter
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Replying to @o_guest @flourneuro and
examples to that where utterly bad experiments can still be explained because one sees what went wrong. Maybe I've misunderstood you tho?
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Replying to @o_guest @Darren_Rhodes and
I agree if "one sees what went wrong" can include "what went wrong is there's no prior reason to have expected that manipulation to work"
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Replying to @flourneuro @o_guest and
The (stupid) example I keep thinking of is trying to turn on the lights by cracking eggs into a bowl
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Replying to @flourneuro @Darren_Rhodes and
I'm having trouble with your specific point. It's quite late so I'm probably very out of it, my fault! I'll try and sleep and reread soon.
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Replying to @o_guest @flourneuro and
Actually, as soon as typed I don't get, I got it. And yes, I agree. Obviously trying random stuff that goes against priors can be rejected
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Replying to @o_guest @flourneuro and
before even running the experiment. You'd hope nobody published a paper on the null results from the eggs & the light switches experiment.
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Replying to @o_guest @Darren_Rhodes and
Is there a PPNull in some near future of ours?
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What's a ppnull? Google says it's a type of mouse. 
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Replying to @o_guest @Darren_Rhodes and
Prestigious Proceedings of the Null -- a new journal by the National Academy.
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