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DanielleFong's profile
𝓓𝑎𝑛𝑖𝑒𝑙𝑙𝑒 𝓕𝑜𝑛𝑔, 𝕖𝕩-𝕡𝕣𝕠𝕕𝕚𝕘𝕪
𝓓𝑎𝑛𝑖𝑒𝑙𝑙𝑒 𝓕𝑜𝑛𝑔, 𝕖𝕩-𝕡𝕣𝕠𝕕𝕚𝕘𝕪
𝓓𝑎𝑛𝑖𝑒𝑙𝑙𝑒 𝓕𝑜𝑛𝑔, 𝕖𝕩-𝕡𝕣𝕠𝕕𝕚𝕘𝕪
@DanielleFong

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𝓓𝑎𝑛𝑖𝑒𝑙𝑙𝑒 𝓕𝑜𝑛𝑔, 𝕖𝕩-𝕡𝕣𝕠𝕕𝕚𝕘𝕪

@DanielleFong

𝔞 𝔟𝔩𝔞𝕤𝔱 𝔣𝔯𝔬𝔪 𝔱𝕙𝖊 𝔭𝔞𝔰𝔱 𝕝𝕖𝕧𝕖𝕝 𝟛𝟚 𝕤𝕠𝕣𝕔𝕖𝕣𝕖𝕤𝕤, 𝕙𝕒𝕣𝕕𝕔𝕠𝕣𝕖 𝕞𝕠𝕕𝕖

.earth  🌎
daniellefong.com
Joined February 2008

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    1. Lora Kolodny‏Verified account @lorakolodny Feb 29
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      Well. We could eat from our pantry & freezer for 3-4 weeks easily. And we have an extra bunch of dog food, toiletries, our Rx’s are filled, stocked up on house cleaning products. But I’m desperately homesick and want to fly back east to see the rest of my family- bad timing, eh?

      20 replies 0 retweets 52 likes
    2. Wolf of M Street‏ @WolfofMStreet Feb 29
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      Replying to @lorakolodny

      I think we’re about to find out that the true death rate (% of all infections) is a tiny fraction of the tossed around 2% figure, which I always see reported without the crucial fine print that confirmed cases are a much sicker population than all infections.

      1 reply 0 retweets 0 likes
    3. Wolf of M Street‏ @WolfofMStreet Feb 29
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      Replying to @WolfofMStreet @lorakolodny

      To which people oddly respond to me “who cares about death rate, the infections are growing so fast.”. I don’t get that . . are we really expecting to disrupt our lives if the death rate for all infections is going to be 0.2%. Certainly not me.

      3 replies 0 retweets 0 likes
    4. 𝓓𝑎𝑛𝑖𝑒𝑙𝑙𝑒 𝓕𝑜𝑛𝑔, 𝕖𝕩-𝕡𝕣𝕠𝕕𝕚𝕘𝕪‏ @DanielleFong Feb 29
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      Replying to @WolfofMStreet @lorakolodny

      it will flood the medical system. no way that holds up.

      2 replies 1 retweet 4 likes
    5. Hugo Lpz 羅禹國‏ @Hugo_Lz Feb 29
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      Replying to @DanielleFong @WolfofMStreet @lorakolodny

      Hugo Lpz 羅禹國 Retweeted Wolf of M Street

      @Wolfof. We have take into account the latency between detection and death, 10 days later. The we have 4% true mortality. About 40× the flu. We have 20% going to ICU. Doesnt happen with flu. We expect ~50% world pop sick. Doesnt happen with flu.https://mobile.twitter.com/WolfofMStreet/status/1233996140556804097 …

      Hugo Lpz 羅禹國 added,

      Wolf of M Street @WolfofMStreet
      Replying to @lorakolodny
      I think we’re about to find out that the true death rate (% of all infections) is a tiny fraction of the tossed around 2% figure, which I always see reported without the crucial fine print that confirmed cases are a much sicker population than all infections.
      2 replies 1 retweet 1 like
    6. Wolf of M Street‏ @WolfofMStreet Feb 29
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      Replying to @Hugo_Lz @DanielleFong and

      Please, I’ve heard these tired arguments for a month straight and debunked them all. Been running every type of lag analysis since January. Way ahead of this. Citation please, otherwise I assume it’s the usual BS

      2 replies 0 retweets 0 likes
      𝓓𝑎𝑛𝑖𝑒𝑙𝑙𝑒 𝓕𝑜𝑛𝑔, 𝕖𝕩-𝕡𝕣𝕠𝕕𝕚𝕘𝕪‏ @DanielleFong Feb 29
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      Replying to @WolfofMStreet @Hugo_Lz and

      these people are the best at the estimates, here is an intro paper. https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/2019-nCoV-outbreak-report-17-01-2020.pdf …

      11:28 PM - 29 Feb 2020
      • 1 Like
      • Hugo Lpz 羅禹國
      1 reply 0 retweets 1 like
        1. New conversation
        2. Wolf of M Street‏ @WolfofMStreet Feb 29
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          Replying to @DanielleFong @Hugo_Lz and

          (1/2) Thank you. But this does not address death rate. It is about case growth. My point is that the 2% death rate has been repeatedly reported as the odds of death on infection. When in reality, given skew of testing to worse cases, it will have to be far lower. . .

          1 reply 0 retweets 0 likes
        3. Wolf of M Street‏ @WolfofMStreet Feb 29
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          Replying to @WolfofMStreet @DanielleFong and

          (2/2) To give an idea of how much condition of sample matters, the death rate for all flu infections is 0.1% but the death rate for hospitalized flu is 7%. 70x difference when you move up severity curve. So samples can matter a ton.

          0 replies 0 retweets 0 likes
        4. End of conversation

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