reach a point where it is impossible for anyone but an expert to untangle things. He concedes his lay-approach, and asks the critical question: can we turn society upside down when things are this murky? He concludes that 4thG nuclear is the rational approach. NT's offending
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Learning how to persuade non-scientists is a skill that is required to save civilization, assuming climate change is the problem scientists say. Might as well not bother with climate science at all if the knowledge is intended to stay in the heads of scientists only.
3 replies 3 retweets 23 likes -
Replying to @ScottAdamsSays @BulsGreg and
This makes so much sense... Glad I stopped by this morning...
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Replying to @amwick2 @ScottAdamsSays and
so Scott called my perfectly reasonable, and evidently persuasive according to likes, comments "word salad" and declared "I'm out" in order to save civilization. Yup, all adds up. (and by the way, he WAS being an asshole, calling him out was warranted)pic.twitter.com/GDPmpKdPyC
7 replies 3 retweets 17 likes -
Replying to @normonics @amwick2 and
You are arguing the advantages of bad data over good data and the problem is on MY end?
7 replies 0 retweets 3 likes -
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Replying to @Brontego @normonics and
The situation we are discussing is one in which you already have both the bad data and the good data. But for some reason people prefer the bad.
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Replying to @ScottAdamsSays @Brontego and
I think to get out of your silly loop you just have to ask yourself "how do I recognize good data from bad data?" I think you will find very quickly why what your doing is nonsensical.
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If you can't tell, it's all bad data. Or at least useless.
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Replying to @ScottAdamsSays @Brontego and
Well that doesnt answer the question "how can you tell it's bad data?". How about this one to clarify things "can bad data be useful?"
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Talking in the abstract is useless. Obviously there are some cases in which you can have high confidence the new data is correct and obviously times you cannot.
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Replying to @ScottAdamsSays @Brontego and
It seems like you are just playing word games. Why dont you articulate what you mean by "bad data"? Is it noisy? Is it data that doesnt confirm what you already knew? Is it data that isnt useful?
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