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Youyang Gu
@youyanggu
Data Scientist. Creator of covid19-projections.com and yolostocks.live. Presenter of unbiased takes. Realist. '15.
New York, NYyouyanggu.comJoined February 2009

Youyang Gu’s Tweets

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It's popular to use the US as a punching bag these days, but I can't think of many other countries where the work of an untrained 27-year-old immigrant can garner the attention & respect of researchers and public alike. America isn't perfect, but I'm grateful to call it my home.
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Global excess deaths in 2020-2021 is almost 3x higher than reported #COVID19 deaths. Great work by & to get this out. It's probably the most comprehensive estimates to date.
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The total number of deaths associated with #COVID19 worldwide from 2020-2021 may be closer to 14.9 million: New estimates by WHO & @UNDESA. That’s 9.5 million more deaths than reported bit.ly/38SJIpM #HealthData
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"In a recent exercise Youyang Gu, a data scientist, ran multiple versions of a model that seeks to find correlations between 41 variables & American state-level deaths from covid-19... [He finds] inequality has the biggest effect." Here is that exercise:
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I believe income inequality is the single best predictor of total Covid deaths in the US. Not income, but income *inequality*. The R^2 is surprisingly high: 0.35. Thanks to @joe_sill, I was able to look at over 40 different variables, and expands on my analysis from last month.
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Strong claims like "universal masking being one of the most effective and efficient strategies for preventing SARS-CoV-2 transmission in schools" require strong evidence. Unfortunately, the evidence presented by the authors of this study fails to support that claim.
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This is another good example of the double standard in science and academia when it comes to studying pandemic interventions:
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Replying to @youyanggu and @CT_Bergstrom
When people use mere correlation to suggest that restrictions are effective, you see scientists nod their heads. But when people use correlation to suggest restrictions aren't effective, scientists immediately scream "wrong". I just don't think that's very scientific, IMHO.
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There's a article regarding universal masking in schools being shared by many, including some prominent experts. But the study never had a control group, so it's scientifically inaccurate to make any conclusions. Here's a good critique of that piece:
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THREAD I corresponded with the authors of the Duke study behind this opinion piece weeks ago... nytimes.com/2021/08/10/opi
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Not only did he help lead the first large-scale sequencing project of the SARS-CoV-2 genome, he also truly understands both sides of the debate, better than myself. Please consider giving him a follow!
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Great interview with Prof about Covid & scientific discourse. We need more pragmatic researchers like him. "As a scientist, you need to be open to surprise and to let your priors be updated by new data. Being dogmatic is problematic."
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Any consequential policy must properly address the long-term consequences and factor in the risk/benefit tradeoffs. Unfortunately, too many times, our policies have ended up disproportionally benefitting the wealthy and further widening the inequality gap.
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"Districts that went strictly remote experienced 42 percent more decline [in kindergarten enrollment]. City schools, which serve disproportionate numbers of low-income students of color, were the most likely to shutter classrooms for extended periods."
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As I didn't realize this thread would blow up, some additional clarifications: 1) My claim is based on my past analysis on the effectiveness of restrictions in the US: twitter.com/youyanggu/stat 2) Here is the original source which my Tweet was based from: businessinsider.com/uk-lifting-res
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Is containing COVID-19 a requirement for preserving the economy? My analysis suggests: probably not. In the US, there is no correlation between Covid deaths & changes in unemployment rates. However, blue states are much more likely to have higher increases in unemployment. 🧵
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To clarify, I am not anti-lockdown. If lockdown/restrictions work and the benefits are worth the trade-offs, then I'm all for it. I just haven't seen solid evidence of causal effectiveness & a thorough discussion of the trade-offs. I'm anti-bad science.
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Replying to @youyanggu and @CT_Bergstrom
When people use mere correlation to suggest that restrictions are effective, you see scientists nod their heads. But when people use correlation to suggest restrictions aren't effective, scientists immediately scream "wrong". I just don't think that's very scientific, IMHO.
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While cases in the UK reached similar levels as the Winter wave, deaths are less than 10% of the Winter wave. Unlike the fuzzy evidence on the effectiveness of restrictions, there is overwhelming evidence that vaccines are effective at reducing severe illness/death.
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Many bad papers looked at these curves in 2020 & concluded that more restrictions is followed by a decline in cases, when the decline would've happened regardless. If we apply the same flawed logic here, one can say that the lifting of restrictions is followed by fewer cases.
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People were worried cases would spike further when the UK lifted almost all remaining restrictions in July. The opposite happened. We must acknowledge that restrictions aren't all that effective in Western countries. (Except Australia, who just entered their 6th lockdown)
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One leaked CDC memo & headlines went from "99% of Covid cases are among the unvaccinated" to "majority of cases are among the fully vaccinated". In reality, the truth is not very sensational: The vaccine is highly effective & working exactly as intended.
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By my estimates, Covid case rates among fully vaccinated individuals are currently ~4-7x lower than those that aren't fully vaccinated. This is based on weekly data out of LA County. Unfortunately, our federal government has no real-time data on this. twitter.com/youyanggu/stat
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So the back-of-the-envelope calculation suggests that the vaccine is ~80-85% effective against the Delta variant, which aligns with the latest research. Still very high! And of course, if you're fully vaccinated, hospitalizations and death rates are even lower.
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By my estimates, Covid case rates among fully vaccinated individuals are currently ~4-7x lower than those that aren't fully vaccinated. This is based on weekly data out of LA County. Unfortunately, our federal government has no real-time data on this.
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For those asking where I got the estimates of "~75% of new cases are among the unvaccinated", below is the latest data from LA County. You can see that the % of new cases that are fully vaccinated is steadily rising over time. publichealth.lacounty.gov/media/coronavi dashboard.publichealth.lacounty.gov/covid19_survei
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That said, I do think there's too much focus on modeling cases/deaths. For ex, I've haven't seen many efforts on vaccination forecasts or infections/immunity estimates. There may be some reluctance in the general scientific community to do this, so it's hard to blame one entity.
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Thanks ! On data, research & messaging, there’s lots of room for improvement at the CDC. For modeling, they were right in enlisting to run Forecast Hub: cdc.gov/coronavirus/20 They’ve crowdsourced 30+ teams for weekly updates.
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More than a year into the pandemic and we still don’t have reliable, timely modeling of where things stand coming out of CDC. It simply doesn’t exist. Hopefully heroes like @youyanggu and others get back into game.
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I've seen numerous misleading media headlines such as "All Covid patients in L.A. County hospitals are unvaccinated" But according to LA County themselves, there have been 213 hospitalized among the fully vaccinated. I hope to see more accurate reporting in the media!
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To illustrate, this is the period in question for which LA County concluded "99.6% of cases are among the unvaccinated". 97% of cases happened before the vaccine was available to the general public! IMHO, putting out misleading data is not the best way to combat misinformation.
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To summarize my thoughts on the Delta variant: 1) It poses a real risk to those with no immunity. 2) The virus is here to stay. There’ll be more variants. This is the new normal. 3) Regions with larger outbreaks now will see smaller outbreaks in the winter & vice versa.
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If Malta had the same population as the US, they’d be reporting 130,000 cases, 5x higher than the current US daily average. So the finger pointing centered around vaccinations is fairly pointless (no pun intended). That said, this also means that outbreaks could get worse.
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Not a single country in the world has vaccinated enough people to stop the Delta variant. Malta, the world’s most vaccinated country (~90% of adults), saw its COVID-19 cases increase from 1 a day in June to 200 yesterday. We must all adapt & learn to live in this new normal.
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Of course, this is a new normal - we will never return to pre-pandemic normal. The Delta variant will be around. People will still be infected, even among the vaccinated. But that's expected. Efforts must continue to focus on vaccinating the vulnerable population.
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Since I began making vaccination projections in Dec 2020, I have consistently predicted a return to normal by Summer 2021. Some said it was too optimistic, others too pessimistic. It appears that as of this week, all states (minus HI) are fully reopen.
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I launched a new page that shows the path to US COVID-19 herd immunity: covid19-projections.com/path-to-herd-i It's built on the assumption that herd immunity will be achieved via vaccination and natural infection. Tl;dr version: I estimate a "return to normal" by June/July 2021.
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