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s_r_constantin's profile
Sarah Constantin
Sarah Constantin
Sarah Constantin
@s_r_constantin

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Sarah Constantin

@s_r_constantin

Math/ML/data-science person now working on solving aging...and helping with COVID19?! Founder, LRI and Daphnia Labs. Married to @oscredwin

Be
srconstantin.posthaven.com
Joined February 2019

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    1. Robin Hanson‏Verified account @robinhanson 21 Mar 2019
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      "Surveys of hundreds of [academic] articles have found that statistically non-significant results are [falsely] interpreted as indicating ‘no difference’ or ‘no effect’ in around half" https://www.nature.com/articles/d41586-019-00857-9 …

      1 reply 8 retweets 31 likes
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    2. Robin Hanson‏Verified account @robinhanson 21 Mar 2019
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      Seems this can reasonably be interpreted as shorthand for "no statistically significant difference or effect".

      3 replies 1 retweet 6 likes
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    3. Robin Hanson‏Verified account @robinhanson 21 Mar 2019
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      "bucketing results into ‘statistically significant’ & ‘… non-significant’ makes people think that the items assigned in that way are categorically different. The same problems are likely to arise under any proposed statistical alternative that involves dichotomization"

      2 replies 0 retweets 11 likes
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    4. Robin Hanson‏Verified account @robinhanson 21 Mar 2019
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      This seems to be a generic argument against ever using dichotomous language to describe a continuous world. Do we really want to ban such language from all academic publications?

      4 replies 2 retweets 12 likes
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    5. Sarah Constantin‏ @s_r_constantin 21 Mar 2019
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      Replying to @robinhanson

      If you want a one-number rubric for "do I care?" it should be Cohen's d, not p-value.

      1 reply 1 retweet 0 likes
    6. Robin Hanson‏Verified account @robinhanson 21 Mar 2019
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      Replying to @s_r_constantin

      Once you grant that dichotomies typically fail to fully describe continuous worlds, you'll also have to grant that single numbers similarly fail to describe multidimensional worlds.

      1 reply 1 retweet 2 likes
      Sarah Constantin‏ @s_r_constantin 21 Mar 2019
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      Replying to @robinhanson

      Sure. But "p-values make bad go/no-go decisions" is actually true, for reasons independent from the "never categorize anything" insanity. Small-but-statistically-significant effects should *also* mostly not drive action.

      12:11 PM - 21 Mar 2019
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