Mike Hoerger, PhD MSCR MBA Profile picture
Dec 20, 2023 10 tweets 8 min read Read on X
As a clinical health psychologist, I notice that many people are using psychological defense mechanisms to downplay the risk of COVID.

These are my Top 7 examples:

🧵 Top 7 Psychological Defense Mechanisms Used to Downplay COVID
#1 – Denial – Pretending a problem does not exist to provide artificial relief from anxiety.

Examples:

“During COVID” or “During the pandemic” (past tense)

“The pandemic is over”

“Covid is mild”

“It’s gotten milder”

“Covid is now like a cold or the flu”

“Masks don’t work anyway”

“Covid is NOT airborne”

“Pandemic of the unvaccinated”

“Schools are safe”

“Children don’t transmit COVID”

“Covid is mild in young people”

“Summer flu”

“I’m sick but it’s not Covid”

Taking a rapid test only once

Using self-reported case estimates (25x underestimate) rather than wastewater-derived case estimation

Using hospitalization capacity estimates to enact public health precautions (lagging indicator)

Citing mortality estimates rather than excess mortality estimates. Citing excess mortality without adjusting for survivorship bias.This is from a psychology book by Nancy McWilliams. I will post a link to a PDF of newer edition of the full book at the end of the thread. If someone has a better "ALT" trick, please educate me on this one.
Image
Image
#2 – Projection – When someone takes what they are feeling and attempts to put it on someone else to artificially reduce their own anxiety.

Examples:

“Stop living in fear.” (the attacker is living in fear)

“You can take your mask off.” (they are insecure about being unmasked themselves)

“When are you going to stop masking?”

“You can’t live in fear forever.”This is from a psychology book by Nancy McWilliams. I will post a link to a PDF of newer edition of the full book at the end of the thread. If someone has a better "ALT" trick, please educate me on this one.
Image
Image
Image
#3 – Displacement – When someone takes their pandemic anxiety and redirects their discomfort toward someone or something else.

Examples:

Angry, seemingly inexplicable outbursts by co-workers, strangers, or family

White affluent people caring less about the pandemic after learning that it disproportionately affects lower-socioeconomic status people of color

Scapegoating based on vaccination status, masking behavior, etc.

“Pandemic of the unvaccinated”

Vax and relax

“How many of them were vaccinated?” (troll comment on Covid deaths or long Covid)

Redirecting anxiety about mitigating a highly-contagious airborne virus by encouraging people to do simple ineffective mitigation like handwashing

“You do you” (complainers are the problem, not Covid)

Telling people to get vaccinated or take other precautions against the flu or RSV but not mentioning Covid

Parents artificially reducing their own anxiety by placing children in poorly mitigated environments

Clinicians artificially reducing their own anxiety by placing patients in poorly mitigated environments

Housework to distract from stress

Peer pressure not to maskThis is from a psychology book by Nancy McWilliams. I will post a link to a PDF of newer edition of the full book at the end of the thread. If someone has a better "ALT" trick, please educate me on this one.
Image
#4 – Compartmentalization – Holding two conflicting ideas or behaviors, such as caution and incaution, rather than dealing with the anxiety evoked by considering the incautious behaviors more deeply (hypocrisy)

Hospitals and clinicians claim to value health/safety but then don’t require universal precautions

Public health officials claim to value evidence but then give non-evidence based advice (handwashing over masking), obscure or use low-value data over high-quality data (self-reported case counts over wastewater), etc.

Getting a flu vaccine but not a Covid vaccine

Interviewing long Covid experts who recommend masking in indoor public spaces but then going to Applebee’s

Masking in one potentially risky setting (grocery store) but not masking in another similar or more-risky setting (classroom)

Infectious disease conference where people are unmasked

Long Covid and other patient-advocacy meetings where only half the people mask

In-person only EDI events

Not testing because it’s just family

Mask breaksThis is from a psychology book by Nancy McWilliams. I will post a link to a PDF of newer edition of the full book at the end of the thread. If someone has a better "ALT" trick, please educate me on this one.
#5 – Reaction formation – expressing artificial positive feelings when actually experiencing anxiety

“It’s good I got my infection out of the way before the holidays”

“I had Covid but it was mild”

Anything quoted in Dr. Jonathan Howard’s book, “We Want Them Infected: How the Failed Quest for Herd Immunity Led Doctors to Embrace Anti-Vaccine Movement”

Herd immunity (infections help)

Hybrid immunity (infections help)

“It’s okay because I was recently vaccinated”

“Omicron is milder”

“Textbook virus”

“Building immunity”This is from a psychology book by Nancy McWilliams. I will post a link to a PDF of newer edition of the full book at the end of the thread. If someone has a better "ALT" trick, please educate me on this one.
Image
Image
#6 – Rationalization – Artificially reducing Covid anxiety through a weak justification.

Examples:

“I didn’t mask but I used nasal spray”

“I don’t need to mask because I was recently vaccinated”

“It finally got me.”

“You’re going to get Covid again and again and again over your life.”

“It’s not Covid because I don’t have a sore throat.”

“It’s not Covid because I took a rapid test 3 days ago.”

“It’s not Covid because I’m vaccinated.”

“Airplanes have excellent ventilation.”

“I’ve had Covid three times. It’s mild.”

“Verily was cheaper.”

“Nobody else is masking.”

“Nobody else is testing.”

“My roommates don’t take any precautions, so there’s no point in me either.”

“I have a large family, so there’s no point in taking precautions.”

Surgical masks (they are actual “procedure masks,” by the way)

Various pseudo-scientific treatments used by the left and right

Handwashing as the primary Covid public health recommendation

Droplet transmission as a thing

Public health guidance that begins with “data shows” (sic)

Risk maps that never turn deep red

5 expired rapid tests

“Masks recommended” instead of universal precautions

“Seasonal”This is from a psychology book by Nancy McWilliams. I will post a link to a PDF of newer edition of the full book at the end of the thread. If someone has a better "ALT" trick, please educate me on this one.
Image
#7 – Intellectualization – using extensive cognitive arguments to artificially circumvent Covid anxiety

Examples:

Unending threads to justify indoor dining

Data-rich public health dashboards that use low-quality metrics and/or don’t change public health recommendations as risk increases

The entire justification for “off-ramps”

Oster, Wen, Prasad

Schools denying air cleaners because it “could make children anxious”

Schools not rapid testing this surge because it “could make children anxious”

The mental gymnastics underlying the rationales for who can get vaccinated, how frequently, or with what brand

Service workers told not to mask because it could make clients uncomfortable

“What comorbidities did they have?”

“The vulnerable will fall by the wayside”

Musicians and others holding large indoor events

5-day isolation periodsThis is from a psychology book by Nancy McWilliams. I will post a link to a PDF of newer edition of the full book at the end of the thread. If someone has a better "ALT" trick, please educate me on this one.
Image
Here's a link to the full book, a newer edition than what I own. The information on defense mechanisms begins on textbook page 100.

Please let me know if there's a more accessible alt-text solution that you would prefer so I can do better next time.
isotis.files.wordpress.com/2016/07/mcwill…

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Mike Hoerger, PhD MSCR MBA

Mike Hoerger, PhD MSCR MBA Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @michael_hoerger

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
Aug 19
I submitted my comment to endorse universal high-quality masks (respirators) in healthcare. Today is the final day.

Alt text continues in the following posts. RE: Z94.4, Selection, use, and care of respirators (New Edition)  Dear Colleagues,  As the director of a population science program at a major U.S. cancer center, I strongly endorse this draft proposal to increase the use of high-quality well-fitting masks (respirators) in medical settings. I will comment on the relevance of this proposal mainly for cancer care. In the U.S., cancer care is commonly more organized than other specialty care and, thus, often leads the way on policy initiatives, which then translate to other elements of care over time.  1. COVID-19 continues to cause excess dea...
They put forth projections, with the most granular detail for the U.S. and U.K., suggesting excess deaths will persist through at least 2033. Their projections do not show excess deaths stopping in 2033; that is simply the final year of their current analysis. Moreover, while they provide the most data for the U.S. and U.K., their analysis suggests a more general trend throughout the globe. The COVID-19-associated excess deaths are commonly identified as cardiovascular and cancer causes of death.   Swiss Re Institute. (2024). The future of excess mortality after COVID-19. https://www.swissr...
Alt text continued 2. The SARS-CoV-2 virus that causes COVID-19 continues to transmit at high rates worldwide. Overall, 28 nations continue to use wastewater surveillance to monitor SARS-CoV-2 levels. A directory is available at the dashboard that I oversee (pmc19.com/data). In the U.S., we are currently experiencing our 11th wave of transmission. Many nations are experiencing annual or twice annual waves of transmission.
Alt text continued 3. International consensus standards identify a broad range of patients at known high-risk of severe outcomes of COVID-19. The largest group at known high risk of severe outcomes is patients with cancer. Other diagnoses associated with above average risk include people undergoing transplants or receiving dialysis, and patients with any of these diagnoses: immunodeficiencies, renal disease, systemic-immune mediated or single-site immune-mediated inflammatory conditions, asplenia, anatomical barrier defects, pregnancy, and diabetes. These findings underscore the importance of standards in hea...
Read 7 tweets
Aug 16
🚩🚩🚩
As a vigorous defender of #CDC data, their switch from using normalized to non-normalized COVlD wastewater surveillance data today harms data quality.

"Normalizing" means accounting for basic confounders like rain levels. It is a choice to use worse data.
1/5🧵 Image
Historically, the CDC data have correlated near-perfectly with similar metrics, such as Biobot's wastewater estimates (still active) or the IHME true case estimates (through mid-2023).

The changes reduce those correlations. It's like going from an A+ to a B.

2/5🧵
You can readily see the loss of data quality in the PMC "whole pandemic" graph (preview shown, subject to change) with choppier waves, caused by the CDC adding extra noise to the data and applying retroactively from BA.1 Omicron to present.

3/5🧵 Longitudinal graph of the pandemic waves. Notice how they start becoming choppier in 2022, as a result of today's changes at the CDC
Read 5 tweets
Aug 12
PMC COVID Dashboard, August 11, 2025 (U.S.)

The CDC says transmission is heating up.

"Very High" (3)
🔺Guam
🔺Hawai'i
🔺Louisiana

"High" (12)
🔺Alabama
🔺Alaska
🔺California
🔺Colorado
🔺Delaware
🔺Florida
🔺Indiana
🔺Mississippi
🔺Nevada
🔺S. Carolina
🔺Texas
🔺Utah

🧵1/12Heat map from CDC data. High/Very high states noted in post
Transmission is highest in these regions. Graphics note the CDC levels and PMC prevalence estimates.

🔥Louisiana (Very High): 1 in 19 actively infectious
🔥Guam (Very High): 1 in 26
🔥Hawai'i (Very High): 1 in 28
🔥Texas (High): 1 in 45

🧵2/12 Graphics show heat maps and prevalence estimates, noted in the post
Statewide transmission remains "High" in Florida, according to the CDC. PMC estimates 1 in 50 actively infectious.

Several cities report "Very High" transmission. Several sites are offline.

🧵3/12 Heat map and prevalence estimate noted in the post
Read 12 tweets
Jul 29
PMC COVID Dashboard, July 28, 2025 (U.S.)
🧵1/12

PMC estimates 400,000 new daily infections. 1 in 118 people actively infectious.

Weekly stats:
🔹2.8 million infections (>40x reported cases)
🔹>140,000 resulting #LongCOVID cases
🔹>1,000 resulting excess deaths Heat map Very High: Louisiana, Guam High: Hawai'i, Florida
PMC COVID Dashboard, July 28, 2025 (U.S.)
🧵2/12

Please excuse any typos and delays. Any time Mimal's boot turns deep red, we're doing local outreach in addition to dashboard work, etc.

If you don't know Mimal yet, you won't be able to unsee them.
es.wikipedia.org/wiki/MIMALDeep red boot = Louisiana
Minnesota (M), Iowa (I), Missouri (M), Arkansas (A), Louisiana (L) = Mimal  Louisiana is the boot.   Sometimes depicted with Kentucky fried chicken on a Tennessee pan.
PMC COVID Dashboard, July 28, 2025 (U.S.)
🧵3/12

It's HOT COVID SUMMER in the Deep South. No geographic/political prejudices, see next.

Covid is burning through Guam, Louisiana, Florida, and Texas (underestimate due to sites down). Louisiana: 1 in 32, Very High (CDC)
Texas: 1 in 98, Moderate (underestimate, CDC)
Guam: 1 in 25, Very High (CDC)
Florida: 1 in 59, High (CDC)
Read 12 tweets
Jul 25
U.S. CDC numbers just released. Good news (for those not in Louisiana). "Only" a 5% national increase.

2025 has closely tracked with summer 2023 transmission. A 12-13% increase would have been expected based on those numbers. That said... Up: Midwest, Northeast Down: West, South
real-time data have been prone to retroactive corrections. This is frustrating, of course, because it leaves people making decisions based on data that are only of good quality when 2 weeks old.

If we saw a 12% increase this week, I'd say look at 2023 for a glimpse...
at the future. Instead, I would consider these plausible scenarios:
🔹Wave still similar to 2023
🔹Later wave with schools more implicated
🔹Something temporarily much better

Of course, temporarily better often means...
Read 6 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(