cuspy
In some proportion of hospitals, when someone who is not vaccinated goes to hospital for any reason, they are tested for COVID-19. If found positive this is counted as a COVID-19 hospitalization. We have no access to the precise rate of these incidental hospitalizations. In some of these hospitals, it is the policy that vaccinated people who go to the hospital are NOT routinely tested unless they have symptoms. If this is the policy at a substantial number of hospitals, it could dramatically change the "effect size" of the measurements that we are talking about. The same issues essentially applies to COVID-19 deaths and cases.
Large effect size alone generally isn't convincing when you're using such fundamentally confounded sampling procedures, merged age-groups with wildly different risk profiles, and data aggregated across long time-windows with different population sizes.
Just to name one small issue, our only measurements of vaccine efficacy are case counts, covid hospitalizations and covid deaths. Each one of these measurements is confounded by population-level differences in testing rate, testing polices (ie routine testing on entrance to hospital), PCR cycle count, and many other factors. There is no longer a monitored control group, so we can't ever account for any group-level differences or confounds. I've seen no attempt to address these issues.
We also have no access to reliable data about confirmed adverse effects. A year later, it is still very hard for a person to quantitatively assess his/her own age-stratified risk/benefit tradeoff, even with the confounded efficacy measures.
So, given all that, why isn't skepticism reasonable anymore?
When it comes to the pandemic, the immediate cause for this change, I think people also come out on either side of one basic disappointment. On one side, there are people who feel they've been massively betrayed by their fellow citizens who have not been cooperative or compliant with the recommendations of experts. On the other side, there are those who feel massively betrayed by regulatory institutions and media they feel are untrustworthy and captured by corporate interests, unelected health experts who have made policy misjudgements, and a wealthy class that has profited from the crisis that their institutions have exacerbated.
Although it's possible to recognize truth in both of the above sides, it is not common in the wild. The division is very primitive, having to do with our responsibilities to our fellow citizens, our relationship to authority, fundamental rights over our bodies, and the expectation of transparency in our institutions. You'd think we would be able to start from some shared assumptions and common ground on these issues, but it's almost impossible today to have discussion about it without one or both parties instantly devolving into anger, fatigue, frustration. We've lost the collective ability to even articulate one another's positions about the pandemic response and other basic civic issues, which is, I think, one of the few things that marks political discourse as different from base tribalism.
Given how effective we know "influence campaigns" to be, I don't think it's an accident that we've arrived here, but that's another issue altogether.
Vaccine: -?% reduction in likelihood of infection (there is currently no monitored control group and no transparent dataset that accurately accounts for baseline infection rates, geographical and demographic variation, etc.)
-?% chance of ?% reduction in severity of disease (there is no empirical evidence that has been consistent across time and location, especially as the virus mutates. All the data I've seen is aggregated across the entire vaccination campaign, never accounting for changing rate of vaccinated vs changes in baseline infection rate in each location)
-?% chance of acute vaccine side effects (VAERS unreliable, no transparent alternative dataset accessible to the public)
-?% risk of future unknown long-term effects of vaccination (including unpredictable outcomes like ADE)
-100% chance of assuming above risk of unknown long-term vaccine side effects (simply no data available by definition)
-?% chance of getting breakthrough infected with COVID-19 if exposed (I haven't seen any challenge studies, probably not possible for ethical reasons)
-?% risk of future long-term effects for recovered breakthrough infections (again, no data available. only time will tell whether breakthrough infections are less likely to lead to potential long-term effects than unvaccinated recovered infections)
-each additional vaccine booster dose adds ?% cumulative risk of both acute and long-term side effects, with no indication that boosters will ever end.
No Vaccine: -0% chance of reduction in severity of disease
-0% chance of acute vaccine side effects
-0% chance of long-term vaccine side effects
-?% chance of getting infected and assuming a ?% risk of future long-term effects of recovered infection (my risk of getting infected is low and partially under my own control since I don't travel, work from home, self-isolate, etc)
Am I missing anything?
Even if I am relatively confident that the vaccine reduces the likelihood of infection and the severity of infection significantly and will continue to do so for variants (the data suggests this, though it less transparent than I would like, since there is no publicly accessible unaggregated dataset (e.g. infection rates for vaxxed vs unvaxxed starting AFTER 50% vaccination rate in a given region, there is no longer a control group and all "natural" control groups suffer from inherent geographical and demographic biases)
It seems to me that the number of unknowns makes the risk calculation much harder than people are making it out to be, but I would be very happy to to hear considered, thoughtful counterpoints to the above.
1) The infection/hospitalization/death rates were highest last winter, and relatively few people were vaccinated during the peak of the infection
2) A large proportion of the people in the Unvaccinated column here were infected long before we reached the current vaccination rate.
3) Therefore, suggesting that the numbers in this table represent the outcome of vaccination is simply not correct. This data is aggregated across the entire vaccination campaign and is completely confounded by the timing of waves vs that of vaccination rates.
If the goal is to build trust and present data transparently and fairly, why not show the same data with aggregation starting in July or starting AFTER reaching 40% vaccination rate?
You're just being rude. Maybe you're having a bad day. I'll give you the chance to apologize now, in front of everyone.
First of all, as a premise, to me the only practical question of interest is, "which technology is better for the long term health of ecosystems". Greenhouse emissions are one critical factor among many that need to be considered when asking this question.
Given that, how does one accurately compare the relative environmental impact of greenhouse emissions versus that of heavy metals, plastics and other synthetic substances that result from the mass production and distribution of batteries and charging stations? I have never seen a convincing explanation of how this comparison could be done in a principled, empirical way.
Even putting aside the issue of being able to compare across pollutant types, are we able to confidently forecast the potential energy costs associated with the future remediation, reclamation, and/or storage of these substances?
Given that many of these materials and production biproducts (cadmium, mercury, lithium processing biproducts, PCBs, etc.) have catastrophic health effects on both humans and animals, how do we account for the energy costs of attempting to fix, manage or avoid those potential health and long-term ecosystem consequences?
If there is an agreed upon scale for comparing the environmental risk of plastic and heavy metal waste to that of emissions, where can I read about it? How was it determined, by which organizations, and what are the standards? Is there a "time preference" included as a parameter in the risk model? Do we account for worst case potential effects of bioaccumulation? and so on...
tldr: great news for EVs, greenhouse emissions are a serious issue, but how can we be certain that we have the right relative risk model?
Very worrying for a system like this to be produced and executed by institutions who have proven time and again that things like human dignity, civil liberties and a chance at upward mobility are no longer relevent.
Regardless, simply telling people they need to listen obediently to experts is going to do much more harm than good. If we take concrete steps to fix the massive problems in our institutions and there are still legions of anti-science activists holding us back through political means, we can at least point to our own reformed system with integrity and say that we're doing our best to get it right. Until then, we have no solid ground to stand on, and we'll continue to lose our own base of supporters, myself included. Scientists themselves will look elsewhere for a system that supports them.
Again it's this a priori assumption that the other person is dumb that has gotten us into this situation. It's also just bad manners. All else equal, I do not see how you can possible read what I wrote as specifically promoting anti-vaxers. I didn't say a word about vaccination. You're applying your own baggage to a simple message. Anti-vaxers are for the most part just frightened people who deserve compassion, not derision. They've simply overgeneralized a very rational fear of institutions that have indeed made some very careless decisions for profit.
If you treat every conversation as adversarial by default, you will continue making all your conversations worse. I recommend following the Gricean Maxims in your conversations. Be productive and cooperative with others until you are certain that they're not being productive and cooperative. That's when you leave the conversation. It's not as complicated as you're making it out to be.
Nuance in communication and dealing intelligently with ambiguity is also a really big issue in all of STEM. Engineering is no exception. This is in fact something that COULD be improved. It's just not as profitable.
I don't always agree with everything he says on other issues, but we are lucky to have him in a position where he's afforded the right to speak freely. It's a shameful embarrassment to the state of our public discourse that it takes a billionaire hedge fund backing to secure that right.
We need to be more strategic than vindictive. Why not forget about the notion of a mass "anti-science crowd" and have some basic respect for your fellow citizens as individuals with widely varying levels of education due in no small part to these same institutional problems. We've failed them. I think your examples are straw men that contribute no real insight to the cause of the problems.
Also, just to be clear, a variation of that rumor about masks was indeed pushed by the surgeon general in early March:
https://www.cnn.com/2020/03/02/health/surgeon-general-corona...
No, I look at the current situation and conclude that our institutions are failing us. Notice that I didn't say I'd prefer to be ruled over by elite families rather than a consistent, transparent and democratic government that is accountable for its mistakes. I want government that has a generational stake in the outcome of its policies.
All I can say in response to you is that without charitable reading of one another's thoughts, we are never going to get anywhere. It will be endless, pointless dispute. Just because something "sounds like" something else in some superficial way, doesn't mean it is.
We need to clean our own house. I can't even keep track of how many brilliant people I personally know who have left academic research. It's really very tragic and our duty as citizens should be to ignore all the petty distractions and focus on doing what needs to be done. If the institutions are lost and beyond reform, we need to work on building new ones that work for us. The current crises could be great opportunities for this.
I think even now the Confused Critique Industry is largely just a distraction from the deeper, internal issues: No jobs for new graduates, abuse of grad student labor, no innovation, too many labs lazily churning out incremental work just to secure their own careers in a climate of precarity, and so on.
Personally, as a scientist, I am comforted that there are enough others out there who doubt the entire notion of a scientific establishment that the population should "trust" to make decisions without oversight. Our numbers are growing, and I know many people who fight every day to ensure we will never be ruled by unquestionable expert consensus. Anyone who has been inside these institutions knows exactly how petty and arbitrary the hierarchical structures can be. I'd rather be ruled over by elite families than squabbling, territorial, overconfident scientists who can be bought off for nothing and blackmailed easily.
I think the constant stream of these articles just illustrates the massive social blind spot that comes from training STEM professionals solely for careers rather than for citizenship, communication and community membership. STEM training itself has sadly become a hierarchical, cult-like, anti-intellectual system that deprives students of critical thinking skills.
It is extremely unethical and dangerous in my opinion to attempt to shame and censor people or pathologize their "paranoia". In most cases, despite being cynically exploited, what we're talking about is a healthy and sensible self-protective instinct. I feel safer in my society when people are free to discuss these fears without shame
When talking to a skeptic, if you are certain that a particular fear is illegitimate, be specific as to why and don't use shame to seek compliance. In many cases you'll probably find that you yourself lack the ability to clearly explain why you think their skepticism is unfounded. We all know from countless examples, even in recent history, that there are many people and organizations willing to physically harm the public's health in various ways for profit.
What I wish we would all be concerned with is not the health effects, but instead the potential for dramatically increased surveillance and control that comes with access to so much more bandwidth. Carelessly normalizing and naturalizing progress for progress's sake undermines the credibility of science and technology as tools for the greater good. More and more people are turning against us.
Second, it's also my opinion we should be concerned that certain crucial decisions about our urban environments are exempt from even the pretense of local democratic control. I for one do not want to live in a city where critical infrastructure is governed by a large top-down international private corporate consensus, but it seems that's where we are headed.
Academic science isn't an apolitical, free space. We are not all free to choose any model, and what it means for a model to "work better" comes down to evaluative criteria that are almost always baked into a particular set of theoretical assumptions.
Computational models are not an exception to this.
There is not even a single "part" or "function" of the brain that we fully, exhaustively understand through a computational explanation. All claims of certainty are premature.
What's really fascinating and really needs the attention of historians and anthropologists is why in this current historical moment so many STEM educated people who are otherwise very bright end up confused about this. Maybe the answer is obvious though.
What would be the criterion by which we could compare one system's correspondence to reality with another system? If there is no transcendental, supra-system way to compare, then where do you get the notion of "degrees" of conformation between reality and statements about reality?