Making Sense of COVID-19, Part Two
Click Here for Part One
In Part One I described the physical realities of the pandemic. A new coronavirus led to more than 1.2 million American deaths, with the highest risks for the elderly and those with health problems. Early on, emergency hospital protections made sense, but when restrictions lasted too long, children and essential workers paid a heavy and unequal price.
These facts show what happened and how people reacted, but they don’t explain why the public debate turned so hostile, why wearing a mask turned into a political statement, or why so many Americans lost trust in official guidance. Part 2 explores how trust in institutions broke down, how scientific disagreements were handled badly, and how a public health crisis turned into a culture war.
Why Official Guidance Became Less Persuasive
Why did so many people lose trust in what officials said? The answer is that there was not one big lie. Trust doesn’t mean institutions have to be right all the time: it means people believe that they’ll be told when there’s uncertainty, and that scientific findings will be kept separate from policy decisions. During COVID those lines kept getting blurred, and that confusion is what really caused the damage.
The credibility problem wasn’t just a domestic issue either. In January 2020, the World Health Organization repeated Beijing’s claim that there was “no clear evidence” of human-to-human transmission, even though its own internal reports already saw it as certainly possible. A few weeks later, the WHO’s director-general praised China’s response and criticized travel bans that most countries soon put in place. At the same time, Taiwan, which had some of the earliest and best containment measures, was completely left out of WHO briefings because it isn’t a UN member. It wasn’t about science, it was about the politics some countries bring to an organization that’s supposed to put science first.
Masks are the easiest example because the advice changed, and the full explanation didn’t come until later. Initially officials told people not to wear masks. Then on April 3, 2020, the CDC changed its advice and recommended cloth face coverings for everyone, saying new evidence showed people without symptoms could still spread the virus. That was a reasonable update, but the problem was the first advice was given because of a shortage of medical masks, which officials didn’t mention because those masks were needed for hospital workers. When people found out that both supply issues and science influenced the advice, it felt less like “we learned something new” and more like “we weren’t told the whole story the first time.”
The question was, did masks actually work? The answer depended on the type of mask and how people wore them. N95 or KN95 respirators that fit well seal tightly to the face and filter out viral aerosols, giving real protection to the wearer. Because SARS-CoV-2 spreads mostly through fine aerosols, someone wearing an N95 in a crowded room is probably safer than someone wearing a loose cloth mask below their nose at the grocery store. However, public policy treated both situations as just “wearing a mask.” This is why mask mandates had only modest and mixed results. Respirators work better according to filtration science, but studies on mask use in the general population are still uncertain, and how people actually wear masks likely explains some of that difference.
Six-foot distancing and surface cleaning show the same problem in a different way. Physical distance does help reduce exposure to heavy respiratory droplets, which fall to the ground within a few feet. But the six-foot rule didn’t do much to protect people from fine airborne aerosols that stay in the air and spread through a room with poor ventilation. Years later, renowned immunologist and Chief Medical Advisor to the President Dr. Anthony Fauci told Congress that the six-foot rule “sort of just appeared” and was “an empiric decision,” not based on a clinical trial comparing distances.
It was the same era that brought us the virtually impossible instruction to stop touching our faces—a rule born from the assumption that contaminated surfaces were a primary threat, long before agencies admitted surface transmission was negligible compared to the air we were breathing. Want proof how hard it is? Watch this short video.
Meanwhile, the CDC and WHO were slow to clearly say that the virus spread through the air. The CDC didn’t call surface transmission low-risk until 2021, after people had spent millions cleaning groceries and putting up plastic barriers, which mattered much less than good indoor ventilation. This time there was no shortage of supplies. We just got a rough guideline that was repeated with total confidence for two years, making it seem like settled science. No one explained how uncertain that number was until long after it had changed how people lived.
Vaccines caused a different kind of confusion because several claims got mixed together. Saying “the vaccines work” could mean they prevent severe illness, prevent infection, or lower the chance of spreading the virus—three separate ideas that changed over time. Vaccines stayed strong at preventing severe illness and death, especially for older and high-risk people. They also helped prevent infection with the original strain and Delta, but this protection dropped a lot with Omicron. Early messages didn’t make these differences clear, so people thought vaccination meant you wouldn’t get infected or spread the virus at all. When breakthrough infections happened, people remembered the promise, not the more specific claim about severe illness.
Natural immunity and myocarditis are smaller examples of the same issue. Getting COVID gave natural immunity, but for a while official advice only counted vaccination as immunity for policy decisions, even though evidence showed that having both infection and vaccination gave the best protection. Myocarditis was the opposite: it was a rare vaccine side effect, mostly in young men. Treating any mention of that risk as dangerous misinformation made it hard to have honest, age-specific talks about who benefited most and by how much.
Mandates raised a different question: what should happen to people who refused a vaccine? Some people thought vaccines could help prevent severe illness but still didn’t want to risk losing their job or military role for not getting vaccinated, especially as it became clear that vaccines provided less and less protection against infection and transmission over time. Firing a healthy 22-year-old or letting go a soldier who had already recovered from COVID didn’t do much to stop the spread once Omicron was common, but it did cause a lot of resentment. By using the same strict punishment for everyone, even though the virus affected people very differently, mandates turned a medical success into a cultural weapon.
On the same day in January 2022, the Supreme Court made this distinction clear. It blocked the federal mandate for large employers but allowed a separate mandate for facilities receiving Medicare and Medicaid funding. By treating regular workplaces and high-risk medical settings differently, the Court showed what many policies missed: rules about requiring vaccines should not be the same everywhere. Instead they should depend on who is in charge, the setting, and the real level of risk.
None of these five examples alone explains why trust in institutions dropped so much but together, they share a pattern: officials sounded more certain than the evidence allowed, then changed their advice later without saying what had changed. Each update might have made sense by itself, but having several happen the same way in just a few years taught people to expect the same thing to happen again.
But there’s still more to the story. People’s views on how dangerous COVID was began to split along political lines early in 2020, even before many of these trust issues happened. The loss of trust and the rise in political division didn’t cause each other in a simple way, they grew together, each making the other worse. That’s the complicated situation I’ll look at next.
Dissent, Misinformation, and COVID as Culture War
Not every minority view from this time turned out to be correct, and not every official stance was mistaken. To figure out which claims held up, we need to judge each one based on its evidence instead of giving blanket praise or blame to either side. This was hard because once trust broke down, being right about one issue was seen as proof you were right about everything, while being wrong about one thing was taken as evidence that the other side had been lying all along.
The Great Barrington Declaration shows how quickly this approach spread. In October 2020 three scientists called for “focused protection,” meaning resources should go to high-risk groups while letting lower-risk people return to a more normal life. The declaration argued for policies that matched the big differences in risk by age discussed earlier. This idea was not extreme, respected scientists had concerns about the costs of long-term restrictions. Some claims about how easily the vulnerable could be protected weren’t fully backed by evidence, and critics were right to question that.
The bigger problem was that NIH Director Francis Collins emailed Anthony Fauci asking for a “quick and devastating published takedown” of these “fringe epidemiologists.” After that, the document became harder to find. It would’ve been better to address the weaker points of the declaration directly. Suppressing the document instead of debating it didn’t just punish dissent; it also showed that admitting how unequal the danger was had become politically unacceptable.
The lab-leak debate showed a similar problem, but in the opposite direction: people were too sure at first, then had to reopen the question later. In February 2020, a widely cited letter in The Lancet said scientists “overwhelmingly conclude” the virus came from wildlife, and social media platforms removed posts suggesting it might have come from research at the Wuhan Institute of Virology in China. By 2021, the WHO Director-General publicly said that a lab-related origin was still possible, especially after China blocked access to important data. By 2023, the Department of Energy and FBI saw a lab origin as a real possibility, while other agencies still leaned toward natural spillover. The true origin is still unknown. That doesn’t prove the lab-leak theory is correct, but it does show that even unlikely ideas shouldn’t be censored. When institutions say “we don’t know yet” but act like they do, reopening the question later can look like a cover-up instead of normal scientific process.
The debates over ivermectin and hydroxychloroquine show what happens when weak scientific evidence meets strong political pressure from both sides. After President Trump promoted hydroxychloroquine at White House briefings in March 2020, prescriptions jumped by about 133% almost overnight. Ivermectin prescriptions increased about tenfold by 2021 as some conservative media figures supported it as an alternative to vaccination. Large randomized trials—including RECOVERY and TOGETHER—later found that neither drug provided meaningful benefit against COVID. That is a solid scientific conclusion.
But instead of focusing on the trial data, much of the public response turned to ridicule, calling ivermectin a “horse dewormer” even though it has been approved for human use for decades. The FDA later settled a lawsuit, admitting it had gone too far in some public statements about what doctors could prescribe. Once a drug’s effectiveness and its political meaning became linked, honestly looking at the evidence meant risking being seen as siding with one group or the other.
None of this happened in isolation. Political divides over how risky COVID was became clear just weeks after the virus reached the US. Cable news and social media then rewarded the wrong instincts: outrage and certainty spread faster than careful discussion, no matter the political side. Content moderation often made things worse by treating open questions like how long natural immunity lasts, the tradeoffs of closing schools, or how well cloth masks work the same as outright lies. Later, being right about an open question felt like proof that the lies were true too. Once masks, vaccines, and school closures became symbols of identity instead of policy debates, changing your mind stopped being a scientific decision and became a social betrayal. That is why so few people, on either side, changed their views in public.
What Other Countries Did Better, and What America Should Learn
Looking at other countries is not about finding the one that “got COVID right” and saying the US should have copied them. Every country’s situation was different, and the most successful ones had advantages the US didn’t. What these examples really show are the specific factors that got boiled down to just one issue in the US debate: lockdowns.
Geography really helped New Zealand. In March 2020 the country moved fast to eliminate COVID, using a strict national lockdown and mandatory quarantine for anyone arriving in the country until community spread stopped. By 2021 New Zealand’s death rate was about 5 per million, an extraordinarily low figure compared with other wealthy countries. But when Delta and Omicron arrived it got harder to keep the virus out, and New Zealand reopened after most people were vaccinated. Even with its strong results the country only bought time, not a solution. Closing borders worked for New Zealand, but that isn’t possible for the US, which has long land borders and millions of arrivals. The real lesson isn’t the border, it’s that New Zealand acted while cases were still low, which made strong action both easier and more effective.
Taiwan and South Korea show the value of being prepared ahead of time. After dealing with SARS and MERS, both countries had already upgraded their public health systems, which let them screen, test, and trace fast enough to stop outbreaks instead of shutting everything down. Taiwan started screening flights from Wuhan in December 2019, and South Korea launched mass testing and phone-based tracing after its Daegu outbreak in February 2020. Both countries still faced big waves later on. Their early responses show something important: when a country already has strong systems in place, it can respond more precisely and target the real outbreak, instead of shutting down broadly because it can’t track the virus.
Then there’s Sweden, which shows the real cost of betting on voluntary compliance. The country avoided mandatory lockdowns and kept schools and most businesses open, but it did limit large gatherings and encouraged distancing. In 2020 Sweden had about 7.7% excess deaths, much higher than Denmark’s 1.5% and Norway’s near-zero rate. This was a clear cost of moving slower than its neighbors. But by 2022 and 2023, Sweden’s total death toll was lower than in some countries that had stricter and longer lockdowns, like the UK, France, and Italy. The likely reason is that Sweden built up population immunity earlier, which came at a higher initial cost in lives but meant fewer deaths later. Sweden’s experience doesn’t prove that lockdowns were useless or that voluntary measures worked perfectly. Instead, it shows that speed and strictness are two separate questions, and Sweden made a different choice on speed without ever trying the strictest measures.
Norway shows that quick action was possible even for countries that are not islands. In March 2020, Norway acted fast by introducing restrictions, border controls, testing, and contact tracing. That year the country actually had negative excess mortality, meaning fewer people died than expected. But this early advantage didn’t last. When Omicron appeared and restrictions eased, Norway saw higher excess mortality, and by 2022, its overall results were similar to those of its neighbors. While New Zealand’s location helped keep the virus out for longer, Norway’s experience suggests the main lesson is not just for islands: acting quickly when case numbers are still low can buy valuable time.
Looking at all these cases together, the main lesson is less about how strict a country’s rules were and more about how quickly it acted, how strong its testing and tracing systems were, and how well it could target its response. The US had some real strengths, like developing vaccines and treatments quickly and building up a huge testing capacity. But it also had real weaknesses: a fragmented public health system that made early, coordinated action hard, and a population with different levels of risk, geography, and willingness to follow restrictions, making it tough to have one policy for everyone.
We shouldn’t ignore a real threat just because we don’t like the steps it might take to deal with it. But we also shouldn’t act as if everyone faces the same risk, or that every precaution has the same cost for everyone. The real challenge for the next virus is whether the United States can balance both at the same time.