While I wasn't at 80% of a lab leak when Eliezer asseted it a month ago, I'm now at 90%. It will take a while till it filters through society but I feel like we can already look at what we ourselves got wrong.
In 2014, in the LessWrong survey more people considered bioengineered pandemics a global catastrophic risk then AI. At the time there was a public debate about gain of function research. On editoral described the risks of gain of function research as:
Insurers and risk analysts define risk as the product of probability times consequence. Data on the probability of a laboratory-associated infection in U.S. BSL3 labs using select agents show that 4 infections have been observed over <2,044 laboratory-years of observation, indicating at least a 0.2% chance of a laboratory-acquired infection (5) per BSL3 laboratory-year. An alternative data source is from the intramural BSL3 labs at the National Institutes of Allergy and Infectious Diseases (NIAID), which report in a slightly different way: 3 accidental infections in 634,500 person-hours of work between 1982 and 2003, or about 1 accidental infection for every 100 full-time person-years (2,000 h) of work (6).
A simulation model of an accidental infection of a laboratory worker with a transmissible influenza virus strain estimated about a 10 to 20% risk that such an infection would escape control and spread widely (7). Alternative estimates from simple models range from about 5% to 60%. Multiplying the probability of an accidental laboratory-acquired infection per lab-year (0.2%) or full-time worker-year (1%) by the probability that the infection leads to global spread (5% to 60%) provides an estimate that work with a novel, transmissible form of influenza virus carries a risk of between 0.01% and 0.1% per laboratory-year of creating a pandemic, using the select agent data, or between 0.05% and 0.6% per full-time worker-year using the NIAID data.
Even at the lower bar of 0.05% per full-time worker-year it seems crazy that society continued playing Russian Roulette. We could have seen the issue and protested. EA's could have created organizations to fight against gain-of-function research. Why didn't we speak every Petrov day about the necessity to stop gain of function research? Organizations like OpenPhil should go through the 5 Why's and model why they messed this up and didn't fund the cause. What needs to change so that we as rationalists and EA's are able to organize to fight against tractable risks that our society takes without good reason?
I now read the paper and given what we saw last year the market mechanism they proposed seems flawed. If we would have an insurance company that would be responsible to paying out the damage created by the pandemic that company would be insolvent and not be able to pay for the damage and at the same time the suppression of the lab leak hypothesis (and all the counterparty risk that comes with a major insurance company going bankrupt) would have been even stronger when the existence of a billion dollar company depends on people not believing in the lab leak hypothesis.
In general the paper only addresses the meta level of how to generally think about risks. What would have been required is to actually think about how high the risk is and communicate that it's serious enough that other people should pay attention. The paper could have cited Marc Lipsitch's risk assement in the introduction to frame the issue but instead talked about it in a more abstract way that doesn't get the reader to think that the issue is worth paying attention.
It seems to falsely propogate the idea that the risk was very low by saying "However, in the case of potential pandemic pathogens, even a very low probability of accident could be unacceptable given the consequences of a global pandemic" when the risk estimate that Marc Lipsitch made wasn't in an order that anyone should consider low.
The paper seems like there was an opportunity to say something general on risk management and FHI used that to express their general ideas of risk management while failing at actually looking at the risk in question.
Just imagine someone saying about AI risk "Even a very low chance of AI killing all humans in unacceptable. We should get AI researchers and AI companies to buy insurance against the harm created by AI risk". The paper isn't any different then that.