jefftk

Co-lead (Near-Term Detection) at the Nucleic Acid Observatory in Boston. Speaking for myself unless I say otherwise.

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jefftk20

While it's nice to know the mechanism, I think all we really need in this case is the empirically determined performance curve.

jefftk20

Other, more targeted risks, such as bioweapons, pandemics and viral outbreaks would be better served by these shelters

I think they could maybe be appropriate for some bioweapons, but for most pathogen scenarios you don't need anywhere near the fourteen logs this seems to be designed for. So I do think it's important to be clear about the target threat: I expect designing for fourteen logs if you actually only need three or something makes it way more expensive.

jefftk42

Filtering liquids is pretty different from air, because a HEPA filter captures very small particles by diffusion. This means the worst performance is typically at ~0.3um (too small for ideal diffusion capture, too large for ideal interception and impaction) and is better on both bigger and smaller particles. The reported 99.97% efficiency (2.5 logs) is at this 0.3um nadir, though.

jefftk20

It's not really an edge thing, it's a top vs inside thing. So I wouldn't expect more side surface area to help?

jefftk206

This is good! But note that many things we call 'insurance' are not only about reducing the risk of excessive drawdowns by moving risk around:

  • There can be a collective bargaining component. For example, health insurance generally includes a network of providers who have agreed to lower rates. Even if your bankroll were as large as the insurance company's, this could still make taking insurance worth it for access to their negotiated rates.

  • An insurance company is often better suited to learn about how to avoid risks than individuals. My homeowner's insurance company requires various things to reduce their risk: maybe I don't know whether to check for Federal Pacific breaker panels, but my insurance company does. Title insurance companies maintain databases. Specialty insurers develop expertise in rare risks.

  • Insurance can surface cases where people don't agree on how high the risk is, and force them to explicitly account for it on balance sheets.

  • Insurance can be a scapegoat, allowing people to set limits on otherwise very high expenses. Society (though less LW, which I think is eroding a net-positive arrangement) generally agree that if a parent buys health insurance for their child then if the insurance company says no to some treatment we should perhaps blame the insurance company for being uncaring but not blame the parent for not paying out of pocket. This lets the insurance company put downward pressure on costs without individuals needing to make this kind of painful decision.

  • Relatedly, agreeing in advance how to handle a wide range of scenarios is difficult, and you can offload this to insurance. Maybe two people would find it challenging to agree in the moment under which circumstances it's worth spending money on a shared pet's health, but can agree to split the payment for pet health insurance. You can use insurance requirements instead of questioning someone else's judgement, or as a way to turn down a risky proposition.

jefftk40

Short story about this from a few years ago: Your DietBet Destroyed the World. Mirror bacteria developed to produce L-Glucose, everything is fine until there's an accident.

jefftk20

Here is a now-public example of how a biological infection could kill us all: Biological Risk from the Mirror World.

jefftk92

I don't think this makes much sense. In a regulated industry, you want to build up a positive reputation and working relationship with the regulators, where they know what to expect from you, are familiar with your work and approach, have a sense of where you're going, and generally like and trust you. Engaging with them early and then repeatedly over a long period seems like a way better strategy than waiting until you have something extremely ambitious to try to get them to approve.

jefftk20

Funny! I almost deleted the cross-post because it seemed too short to be interesting here.

jefftk40

Put particles in the air and measure how quickly they're depleted. ex: Evaluating a Corsi-Rosenthal Filter Cube

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