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ScottAdamsSays's profile
Scott Adams
Scott Adams
Scott Adams
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@ScottAdamsSays

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Scott AdamsVerified account

@ScottAdamsSays

My Micro Lesson (2-4 min. videos) on being more happier and more effective in life are on Locals: http://bit.ly/2Ygv2tf 

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youtube.com/c/realCoffeeWi…
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    1. MDS Resource‏ @MDSResource 30 Mar 2019

      Why can't #science tell me which one of the different models is the good one, so we can ignore the less-good ones? @ScottAdamsSays

      2 replies 1 retweet 1 like
      Scott Adams‏Verified account @ScottAdamsSays 30 Mar 2019
      Replying to @MDSResource

      Usually they say all the models are different but point to the same general degree of problem. Except for one model. The Russian model (the most accurate one so far) indicates no real problem ahead from warming. Or so I am told.

      6:20 AM - 30 Mar 2019
      • 8 Retweets
      • 46 Likes
      • Secret Russian вlş Tony Wright Christopher Tape Dr. Tevye Farms 🇺🇸 Dick Toussaint Leve Shelly Cerebral Caesarean
      13 replies 8 retweets 46 likes
        1. General Kanye_Trump. (Space Force) 💎‏ @Barack_McBush 30 Mar 2019
          Replying to @ScottAdamsSays @MDSResource

          That is a ludicrous statement that has zero merit unless of course it is propaganda for forces that benefit financially from polluting.

          0 replies 0 retweets 1 like
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        1. PurpleGirl  💜 🙎‍♀️ 💜‏ @IAMannabe11e 30 Mar 2019
          Replying to @ScottAdamsSays @MDSResource

          Damn Russians. Love Vodka 🍸

          0 replies 0 retweets 0 likes
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        1. Ron Wills‏ @SuretyClaimsLaw 30 Mar 2019
          Replying to @ScottAdamsSays @MDSResource

          This is the main problem with AGW theory. It is a hypothesis built on flawed models. The models are flawed because they rely on unsupported flawed assumptions. There appears to be no empirical evidence to support AGW.

          0 replies 0 retweets 0 likes
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        1. Dale Wolf‏ @dalewolf777 30 Mar 2019
          Replying to @ScottAdamsSays @MDSResource

          It is very difficult for people to get past their cognitive bias on an issue like global warming. This includes those who develop models, choose which data sets to use, etc. A non-predictive model is built on flawed reasoning and bad data. Yet, it’s defenders blindly defend it.

          0 replies 0 retweets 0 likes
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        1. Dale Wolf‏ @dalewolf777 30 Mar 2019
          Replying to @ScottAdamsSays @MDSResource

          If the measured results are not in line with predictions, fix the model! Stop trying to fudge data. When we see all the shenanigans going on and understand the $B’s of dollars in government grants, funding and potential industrial/commercial wins, we are right to be skeptical.

          0 replies 0 retweets 0 likes
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        1. Tom Augustine‏ @TomAuggie 30 Mar 2019
          Replying to @ScottAdamsSays @MDSResource

          I find all this Settled Science unsettling.

          0 replies 0 retweets 0 likes
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        1. Dale Wolf‏ @dalewolf777 30 Mar 2019
          Replying to @ScottAdamsSays @MDSResource

          There are going to be a lot of winners and losers based on the outcome. I think everyone can agree to less pollution, cleaner energy. Creating artificial barriers like a carbon tax/exchange, is simply another slick way to effect wealth transfer.

          1 reply 0 retweets 0 likes
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        2. Renatus Voltaire‏ @RenatusVoltaire 30 Mar 2019
          Replying to @ScottAdamsSays @MDSResource

          Fascinating how the climate science debate is exposing society's complete lack of understanding. MDS's question represents the public's mystic conception of science that doesn't realize that most scientists are not that smart and there is no easy answer to chaotic systems.

          1 reply 0 retweets 1 like
        3. defmn‏ @theoil193 30 Mar 2019
          Replying to @RenatusVoltaire @ScottAdamsSays @MDSResource

          The man who designed the modern scientific method, Francis Bacon, is very clear that his design doesn't require what we call scientists to be very smart. It's the theoreticians - or what used to be called natural philosophers - that need to be smart. Data collectors? Not so much.

          1 reply 0 retweets 0 likes
        4. Show replies
        1. panayis zambellis‏ @panayis 30 Mar 2019
          Replying to @ScottAdamsSays @MDSResource

          yep that is what i have come across as well

          0 replies 0 retweets 0 likes
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