No it doesn’t. I’m not trying to make a point about vaccines, just that the study is a population study and so shows benefits on average to a population.
If the vaccine killed 1/100 people (again I don’t believe this but it’s the internet) but made the other 99 immune to dying over the 4 years, it would look really good on average even if it was directly responsible for the deaths of 1%.
This comment helps me understand how folks see "your taxes will go up $10k but you won't pay $20k in health insurance premiums" as a hit to the pocketbook.
Well, if say the vaccine gave 1/100 fatal lung cancer then a population study would show a decrease in covid deaths and an increase in lung cancer deaths though.
It's only the case if the vaccine gave everybody slightly higher chances of dying from everything that it could hide in the weeds.
So in this specific example we can see from Table 2 that deaths/1 million are just lower for everything in the vaccinated so it's not the case that it lowered one kind of death drastically at the expense of another.
Don't those 99 enjoy being alive despite all of the things that would have killed some of them had they not taken the vaccine? If "some" is at least 1%, that sounds like an individual benefit to me.
If you take the vaccine, you have a lower chance of dying over those 4 years. You also have an infinitely higher chance (specifically 1% vs 0%) of dying from the vaccine, but that doesn't change the previous sentence.
For vaccines like the measles vaccine where it can entirely stop the spread in a vaccinated population this can be true until enough people think this way that measles starts spreading in your vicinity.
But with Covid-19 vaccination wasn't able to eliminate its spread so it mostly is about protecting yourself rather than protecting others.
Whats funny is in some sense, temporal replaces alot of the AWS stack. You dont really need queues, step functions, lambdas, and the rest. I personally think its a better compute model than the wildly complicated AWS infra. Deploying temporal on compute primitives is simply better, and allows for you to be cloud agnostic.
I sometimes suspect AWS deliberately looks for ways to extract low-overhead tasks into dedicated services for the simple reason that many people will pay for the service without thinking about whether they really need it.
If you bring something down in a real way, you can forget about someone trusting you with a big project in the future. You basically need to switch orgs
AWS has been in long term decline, most of the platform is just in keeping the lights on mode. Its also why they are behind on AI, alot of would be innovative employees get crushed under red tape and performance management
OpenAI turned that research into a product before Google, which is a huge failure on Google's part, but that's orthogonal to the invention of what powers modern models.
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