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gorskon's profile
David Gorski, MD, PhD
David Gorski, MD, PhD
David Gorski, MD, PhD
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@gorskon

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David Gorski, MD, PhDVerified account

@gorskon

Surgeon/scientist promoting science in medicine and exposing quackery. Editor of Science-Based Medicine. My opinions do NOT represent those of my employers.

Michigan, USA
sciencebasedmedicine.org
Joined October 2009

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    1. Carl T. Bergstrom‏Verified account @CT_Bergstrom 21 Mar 2020

      1. I hate to invest precious time on taking apart the atrocious @aginnt article pictured below, but it is getting too much traction here and even in traditional media. This thread could be far longer than it is, but I'm doing my best to only discuss the most glaring flaws.pic.twitter.com/EFA7ATQRbX

      576 replies 6,102 retweets 14,517 likes
      Show this thread
    2. Carl T. Bergstrom‏Verified account @CT_Bergstrom 21 Mar 2020

      2. The introduction should be blaring red warning to any thinking person. The author begins by disputing that *context matters*. Without the background to put information in context, all the data in the world are not defense against misinterpretation.pic.twitter.com/39UwC6vpb0

      60 replies 250 retweets 3,056 likes
      Show this thread
    3. Carl T. Bergstrom‏Verified account @CT_Bergstrom 21 Mar 2020

      3. You can give me all the stock market data in the world; I don't have the background to make the best use of it because I fundamentally do not understand how the market works or how to take advantage of that understanding. Infectious disease epidemiology is no different.

      49 replies 257 retweets 4,357 likes
      Show this thread
    4. Carl T. Bergstrom‏Verified account @CT_Bergstrom 21 Mar 2020

      4. *Information gets lost in translation.* The author claims to be an expert in making products go viral. I suppose that field has borrowed some ideas from epidemiology. Now he's trying to back-infer how epi works from what he knows about that area. It doesn't work that way.

      26 replies 169 retweets 3,293 likes
      Show this thread
    5. Carl T. Bergstrom‏Verified account @CT_Bergstrom 21 Mar 2020

      5. Imagine Shakespeare run through google translate into Japanese, then translated back to English by someone who'd never heard of Shakespeare. So much depth would be missing. Same here. We end up with loose neologisms like "virality" instead of a solid theoretical framework.

      25 replies 168 retweets 3,206 likes
      Show this thread
    6. Carl T. Bergstrom‏Verified account @CT_Bergstrom 21 Mar 2020

      6. The author discusses the apparent decline in daily growth rate irrespective of control measures. He begins with some truism about small numbers being easy to move; this is irrelevant in the face of the exponential growth that he stresses in literally the previous sentence.pic.twitter.com/ZTGRlzEsZr

      14 replies 107 retweets 2,040 likes
      Show this thread
    7. Carl T. Bergstrom‏Verified account @CT_Bergstrom 21 Mar 2020

      7. He fails to see that this drop in apparent growth rates is heavily driven by left censoring and shifts in testing strategy. Testing started at different times in different countries, was influenced by case density, and early-on, tests individuals in all stages of disease.

      19 replies 128 retweets 2,204 likes
      Show this thread
    8. Carl T. Bergstrom‏Verified account @CT_Bergstrom 21 Mar 2020

      8. Next, inferences about "virality" and "viral capacity". I suppose he means "transmissibility". If so, we've spent 20 years developing sophisticated statistical methods to detect changes in transmissibility. With noisy, aggregate data this back-of-envelope stuff doesn't cut it.pic.twitter.com/s72UoqyCP9

      17 replies 125 retweets 2,215 likes
      Show this thread
    9. Carl T. Bergstrom‏Verified account @CT_Bergstrom 21 Mar 2020

      9. Disaggregating data is essential to provide context, especially for transmission processes. That the virus can cross national boundaries does nothing to negate the importance of spatial structure and within-country analysis. Aggregating data obscures critical patterns.pic.twitter.com/UsD5a37kxK

      12 replies 120 retweets 1,942 likes
      Show this thread
    10. Carl T. Bergstrom‏Verified account @CT_Bergstrom 21 Mar 2020

      10. I hate to ascribe to malice what can be adequately explained by incompetence, but using this lie to sweep away the disaggregated data is such utter nonsense that I wonder how a silicon valley guy could make this claim by mistake.

      50 replies 239 retweets 3,219 likes
      Show this thread
      David Gorski, MD, PhD‏Verified account @gorskon 22 Mar 2020
      Replying to @CT_Bergstrom

      Silicon Valley guys are all about Dunning-Kruger. I’m not the least bit surprised by the arrogantly ignorance of any of them.

      8:22 AM - 22 Mar 2020
      • 1 Retweet
      • 8 Likes
      • Styky Wykyt MAY Sili Dr. Alexander E SwissLEAP - Innovate from Idea to Impact Dr. Vanessa Yingling Nick Garcia Jenny von Mosspåle
      1 reply 1 retweet 8 likes
        1. Eileen OS‏ @eosull 22 Mar 2020
          Replying to @gorskon @CT_Bergstrom

          Keto and CrossFit in profile... there’s a surprise (NOT) 🙄

          0 replies 0 retweets 1 like
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