For those folks who think that people like Fauci and the CDC and weather forecasters and other science-based communicators are "lying" and "can't be trusted," I'd ask them to at least try to understand a little bit of the science involved. Trying to predict what's going to happen with highly complex systems, which have huge uncertainties associated with them, especially for an ever-evolving pandemic, where the science is being discovered as we go - and we're unable to run controlled experiments to actually determine infection transmissibility, since it's unethical to run the experiments we'd need to run - is extraordinarily difficult.
And this means some of the early scientific thought and predictions were bound to be at least somewhat in error, whether it was on mask effectiveness, transmissibility/herd immunity, death projections, asymptomatic transmission, etc. Perfect case in point is herd immunity, where one needs to know quite accurately the R0 reproductive number (a measure of infectiousness) to know what the herd immunity point is, roughly speaking. As per the post below from April, back then there were arguments over whether R0 (assuming no interventions to slow spread) was 2.2 (which would mean 55% infected achieves herd immunity) or 5.7 (82% infected achieves herd immunity) or somewhere in-between.
And there were even now-discredited estimates that it was effectively lower than 2.2 (by Scott Atlas and friends), meaning we had nearly achieved herd immunity this past summer, which obviously is not the case given the explosion in cases, worldwide this fall/winter - with estimates that up to 30% have already been infected, but another 25-50% would need to be infected to achieve herd immunity. Initially, I thought herd immunity might be as low as 30-50% based on the Diamond Princess cruise ship infections, but clearly once we saw infection rates near 80+% in prisons, meatpacking plants and other tight communities, it seemed pretty obvious those low numbers were a pipe dream - and yet those low R0 estimates informed what the Trump Administration strived for under Atlas's guidance
https://rutgers.forums.rivals.com/t...es-interventions-and-more.191275/post-4495665
The bottom line is we keep learning more about the virus and fine-tuning the science, the models and the projections, but they still have a pretty high degree of uncertainty around them and likely always will due to that pesky limitation ethics imposes on us with regard to infecting people to get the data we need. Guidance has evolved, sometimes more slowly than we all would like, but it has evolved, since we know more now than we did months ago. And that means people like Fauci will have evolving positions as more is learned. They're not "lying" about the situation, but their positions are bound to evolve.
In the weather business, should forecasters not adjust their snowfall forecasts 24 hours before an event when new data indicates a change in the forecast? Do people think they're lying or just adjusting their forecasts as they learn more - hint: they're not lying. They may end up partly or even significantly wrong, but weather forecasting is still an imperfect science (and always will be, given the chaotic nature of numerical modeling of weather systems), although forecasts at 5 days out now are as accurate as they were 2-3 days out 25 years ago. And we've been working to improve weather forecasting for decades, while pandemic forecasting for a brand new virus never seen on the planet before is far harder. I'd say give the scientists and communicators of the science a little bit of a break, but I doubt most will listen.