Mike Hoerger, PhD MSCR MBA Profile picture
Mar 11 25 tweets 8 min read Read on X
1) 5-yr Anniversary of the WHO Pandemic Declaration

🔥10 waves
🔥Covid mortality rivals lung cancer
🔥8 infections/person by 2030
🔥Long Covid as catastrophic
🔥Death trajectories becoming complex
🔥"During Covid" as anti-science rhetoric
🔥Serious ppl take Covid seriously
🧵
2) Wastewater-derived estimates of case rates show international consensus 20-26% of populations got Covid during the peak 2 months of the 2023-24 winter wave in the U.S., Canada, and the U.K.
3) The ratio of reported cases versus true cases has remained consistent, demonstrating the validity of wastewater-derived estimates. True cases are 15-30x reported cases, a consistent ratio. There are no examples demonstrating low case rates.
4) Misinformation is based on cognitive biases that steer people toward easy-but-bad data or lead them to overestimate their skills.

Disinformation can be blatant or grounded in specious pseudo-scientific arguments. Financial COIs are often the cause. Misinformation: Wastewater can’t predict cases  You can’t do that  “Streetlight effect,” “drunkard’s search,” or “McNamara fallacy”  “Dunning-Kruger fallacy”  Usually people w/expertise in adjacent or unrelated fields, or with clinical non-scientist backgrounds   Disinformation: Audacious lies: herd immunity, masks, tests, vaccines, air cleaning, surveillance Specious arguments: Whataboutism, amplifying trivial limitations, misrepresenting the CDC  Often serious Social/ Online Subscription & Ad Dollar Conflicts of Interest (SO SAD COIs)
5) Contrary to misinformation and disinformation, wastewater-derived estimates have a long history of publication on top scientific journals Example articles
6) The NYTimes shows that Covid continues to cause excess deaths, meaning it is killing hundreds of thousands of Americans in 2025.

Their estimates are overly simplistic but make the correct argument. See next few. NYT graph of excess deaths. Simple
7) More complex analyses of Covid excess deaths remain much too simplistic and often underestimate current Covid deaths. They do not account for "mortality displacement" -- the idea that so many have already died, we should be seeing fewer deaths by now. We're not. Our World in Data perpetuates bad Covid analyses that minimize Covid
8) Actuaries measure excess death correctly (or still slightly underestimate). They find Covid deaths are on par with lung cancer in 2025. Current excess death estimates using the best formulas show that under the "pessimistic" scenarios (similar to reality, if not lightly optimistic) Covid deaths are slightly higher than for lung cancer
9) The sources of Covid excess deaths are increasingly understood and paint a more pessimistic long-term trajectory, as demonstrated by (multi-systemic) non-respiratory deaths. Multi-systemic deaths on the rise, consistent with or surpassing more pessimistic scenarios.
10) The past and ongoing consequences of Covid will be marked by health disparities. Race, ethnicity, socioeconomic status, immigration status, LGBTQ. JAMA NO article on c19 disparities.
11) We are headed from nearly 4 Covid infections on average to 8 cumulative infections over the next 5 years if current trends hold. The Long Covid burden will be substantial.

Mitigating risk using multi-layered mitigation, like during the early pandemic, helps greatly. Line graph summarized in post
12) Nearly 5 million American adults have become disabled during the pandemic, with an ongoing linear trend because cumulative infections remain an ongoing burden.

We're doing almost nothing as a society to reduce infections. NYT graph
13) Children continue to become sick more frequently and more severely, with an increasing proportion missing multiple weeks of school.

So-called "lockdowns" don't case this. An annual Covid infection is the likely culprit. NYT graph
14) Younger adults are becoming disabled by Covid, though often still working. Women are particularly burdened. >1 million female workers <65 have become disabled during the pandemic
15) Though at a slower clip, male workers <65 years old are also becoming disabled by Covid.

>1 million female workers <65 have become disabled during the pandemic >0.5 million male workers <65 have become disabled during the pandemic
16) Older adults are dropping out of the workforce. 2.0-2.7 million so far, so-called "excess retirements" graph summarized in post
17) Covid deaths are less and less about acute deaths and more and more about complex non-acute death trajectories. Graphs of 4 prototypical death trajectories.
18) An example of a Covid cumulative reinfection death trajectory. Complex death trajectory, stairstep decline with c19 infections, with superimposed organ damage.
19) I have no idea what people mean by "during Covid" - a useless and anti-science concept. "During Covid" as the early pandemic
20) #DuringThePandemic is today. 10 covid waves, each labeled during the pandemic
21) #DuringCovid is today. 10 covid waves, each labeled as during covid
22) "During Covid" is anti-science offensive nonsense.

We don't say during car accidents, during lung cancer, or during diabetes to describe the onset or any time point of these public health problems. graphs of covid, car accidents, lung cancer, and diabetes, with "during" labels for the onsets
23) Many people are "high risk," simply based on known evidence, albeit imperfect. Many more are high risk based on unknown or undiagnosed factors. Most should assume a high risk family member or that high risk themselves. Estimated >50 million Americans with known high risk
24) NIH has required universal masking in 48 clinical centers for >4 months because they lead on healthcare. info from nih website
25) Over 75% of PMC Covid Dashboard viewers note using 4 layers of mitigation (masks, vax, tests, air quality) in the past 6 months. 95% use at least 3 out of 4 layers. described in post

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More from @michael_hoerger

Sep 16
PMC COVlD Report, Sep 15, 2025 (U.S.)
🧵1/7

COVlD-19 levels are "Very High" or "High" in the majority of states, per the CDC.

This includes 27 states & D.C.

🔥🔥Very High:
Alaska, Hawai'i, California, Nevada, Idaho, Utah, S. Dakota, Nebraska, Texas, Louisiana, Indiana, Kentucky, Tennessee, Florida, S. Carolina, N. Carolina, D.C., Maryland, and Connecticut.

🔥High:
Washington state, Oregon, Montana, probably N. Dakota (imputed), Arkansas, Alabama, Virginia, Delaware, Rhode Island, and Massachusetts.

PMC estimates 1 in 38 people (2.7%) are actively infectious. Wastewater-derived case estimates suggest 1.3 million new daily infections.Heat map using CDC levels. Key findings summarized in the post.
PMC COVlD Report, Sep 15, 2025 (U.S.)
🧵2/7

Transmission is peaking nationally, but regional variation is common. Know what's happening in your state, and get the word out.

Note that the levels CDC calls "low" are still quite alarming.State | CDC Level | PMC Estimate, % Actively Infectious Alabama	High	1 in 30 (3.4%) Alaska	Very High	1 in 22 (4.6%) Arizona	Moderate	1 in 40 (2.5%) Arkansas	High	1 in 28 (3.6%) California	Very High	1 in 21 (4.8%) Colorado	Moderate	1 in 50 (2.0%) Connecticut	Very High	1 in 19 (5.3%) Delaware	High	1 in 33 (3.0%) District of Columbia	Very High	1 in 17 (6.0%) Florida	Very High	1 in 24 (4.2%) Georgia	Moderate	1 in 46 (2.2%) Guam	Low	1 in 64 (1.6%) Hawaii	Very High	1 in 26 (3.8%) Idaho	Very High	1 in 14 (7.3%) Illinois	Moderate	1 in 44 (2.3%) Indiana	Very High	1 in 16 (6.1%) Iowa	Moderate	1 in 40...
PMC COVlD Report, Sep 15, 2025 (U.S.)
🧵3/7

Note that transmission is increasingly spreading from the South & West toward other areas. Know your state-level risk.

Transmission remains alarming even in areas CDC labels "Very Low" (e.g., Missouri, estimated 1 in 109). State | CDC Level | PMC Estimate, % Actively Infectious Missouri	Very Low	1 in 109 (0.9%) Montana	High	1 in 36 (2.8%) Nebraska	Very High	1 in 18 (5.5%) Nevada	Very High	1 in 17 (5.9%) New Hampshire	Low	1 in 64 (1.6%) New Jersey	Moderate	1 in 56 (1.8%) New Mexico	Very Low	1 in 106 (0.9%) New York	Low	1 in 73 (1.4%) North Carolina	Very High	1 in 17 (5.8%) North Dakota	High*	1 in 32 (3.2%) Ohio	Moderate	1 in 47 (2.1%) Oklahoma	Moderate*	1 in 44 (2.3%) Oregon	High	1 in 31 (3.2%) Pennsylvania	Moderate	1 in 44 (2.3%) Rhode Island	High	1 in 30 (3.3%) South Carolina	Very High	1 in 15 (6.6%) South D...
Read 7 tweets
Sep 13
California COVlD Surge Rages Higher

🔸CDC SARS-CoV-2 wastewater levels "Very High," and up from last week
🔸1 in 21 estimated actively infectious
🔸>250,000 estimated new daily infections statewide

Four figures...
1/4🧵 CDC: Very High: PMC Estimate: 1 in 21 actively infectious
CDC wastewater data in California show COVlD cases increasing from the already "Very High" levels last week.

2/4🧵 Line graph of the past 6 months showing the surge in wastewater viral levels
With an estimated 1 in 21 (or 4.8%) of California residents actively infectious of COVlD, risk increases dramatically in larger and more frequent social gatherings.

Interact with 25 people of average risk of being positive, and that's a >70% chance of exposure.
3/4🧵 How Does Risk Increase with More Social Contacts? Number of People | Chances Anyone is Infectious 1	4.8% 2	9.4% 3	13.7% 4	17.9% 5	21.8% 6	25.6% 7	29.1% 8	32.5% 9	35.8% 10	38.9% 15	52.2% 20	62.6% 25	70.8% 30	77.1% 35	82.1% 40	86.0% 50	91.5% 75	97.5% 100	99.3% 300	99.9%
Read 4 tweets
Sep 10
Let's say you're a dairy farmer. You have 100 cows. Each year, about 5 cows die, and another 5 cows are born. Then, along comes a virus. Let's call it "cowvid"...
1/
Let's say "cowvid" wipes out about half the cows over the course of a couple years. Now, you're down to 50 cows....
2/
The local mayor declares "cowvid" to be over. This surprises you as a farmer because 5 of your cows keep dying annually. 5 of 50 instead of 5 out of 100. Seems like more, but you're not a city slicker...
3/
Read 12 tweets
Sep 7
#DuringCOVID is today.

Image pack 1 of 9 🧵 Graph of the 11 waves of the pandemic in the U.S., tailored to a key message noted in the post.
1 million New Daily Infections.

Today!

Image pack 2 of 9 🧵 Graph of the 11 waves of the pandemic in the U.S., tailored to a key message noted in the post.
Where are the free vaccines, N95s, and tests?

Image pack 3 of 9 🧵 Graph of the 11 waves of the pandemic in the U.S., tailored to a key message noted in the post.
Read 9 tweets
Sep 3
PMC Dashboard Update (U.S.) 🧵1 of 8

The 11th wave is still rising.
🔥23 states/territories High/Very High
🔥Very High: Alabama, DC, Guam, Hawai'i, Louisiana, Nebraska, Nevada, South Carolina, Texas, Utah
🔥1 in 56 estimated actively infectious
🔥876,000 new daily infections CDC heat map, very high states noted in post. PMC estimate of 1 in 56 actively infectious nationwide
PMC Dashboard Update (U.S.) 🧵2 of 8

Note that the CDC has modified 📉 how transmission levels correspond to the categorical bins.

Take California. We estimate 1 in 30 actively infectious statewide. This would have previously been "Very High," now just "High."
#NewNormal CDC heatmap, with PMC estimate of 1 in 30
PMC Dashboard Update (U.S.) 🧵3 of 8

Here are the prevalence estimates for the first half of states/territories.

Notice how high the levels are in some of the "Moderate" states. State	CDC Level Alabama	Very High Alaska	High Arizona	High Arkansas	Moderate California	High Colorado	Moderate Connecticut	High Delaware	High District of Columbia	Very High Florida	High Georgia	Moderate Guam	Very High Hawaii	Very High Idaho	High Illinois	Very Low Indiana	Moderate* Iowa	Low Kansas	Low Kentucky	High Louisiana	Very High Maine	Low Maryland	Moderate Massachusetts	Moderate Michigan	Very Low Minnesota	Moderate Mississippi	High*
Read 9 tweets
Aug 21
During times like these when COVlD transmission heats up in the U.S., expect to see a lot more angry outbursts for three central reasons.

First, "displacement," or people trying to deny the reality of their anxiety by taking it out on other people....
Second, a lot of people can sustain a strong denial of reality about the ongoing pandemic during lulls. They suppress the existence of COVlD waves and excess deaths, disability, and retirements.

During waves, those defenses burst. Loss of control = anger...
Third, a lot of people (many reading this) understand COVlD correctly & experience righteous indignation during COVlD waves. We quite reasonably do not like all of the unjust and gratuitous suffering.

I find it helpful to channel that intensity into helping other people....
Read 6 tweets

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