Have you considered trying to get the attention of key actuaries with this analysis? I know you said you were more on the tech end but it might be possible to challenge the official narrative fairly effectively if you can get the attention of certain individuals, some of whom would have access to their own corporate data which they coul…
Have you considered trying to get the attention of key actuaries with this analysis? I know you said you were more on the tech end but it might be possible to challenge the official narrative fairly effectively if you can get the attention of certain individuals, some of whom would have access to their own corporate data which they could potentially analyze. For instance, there's an upcoming webinar sponsored by the CCA in Nov (https://www.ccactuaries.org/event-detail/2022/11/09/default-calendar/measuring-covid-severity-what-are-the-odds-and-ends-) -- maybe you (or you and Steve) could reach out to these speakers?
Actually, no. The reason is twofold. The method that I developed (not the one used in this post, this is a simple approach that is only applicable in a limited set of cases) is new, and still some research questions need to be answered. As TPTB have a rather ugly track record in silencing even well known, and well connected people, I do not want to run the risk that this new approach will be "killed". However, together with some others I'm investigating the possibility of implementing causal analytics on a server, and make it freely available (for a limited data set, i.e., thousands of samples, and maximal twenty parameters). In this way we will be somewhat "hardened" against the nefarious actors who killed science.
The second reason is also very close to my heart. Years ago I came up with a novel way to generate hydrogen using only warmth. This takes basically most of my time. I'm not even sure if it works, but I will never forgive myself if I won't try to find out.
Have you considered trying to get the attention of key actuaries with this analysis? I know you said you were more on the tech end but it might be possible to challenge the official narrative fairly effectively if you can get the attention of certain individuals, some of whom would have access to their own corporate data which they could potentially analyze. For instance, there's an upcoming webinar sponsored by the CCA in Nov (https://www.ccactuaries.org/event-detail/2022/11/09/default-calendar/measuring-covid-severity-what-are-the-odds-and-ends-) -- maybe you (or you and Steve) could reach out to these speakers?
Actually, no. The reason is twofold. The method that I developed (not the one used in this post, this is a simple approach that is only applicable in a limited set of cases) is new, and still some research questions need to be answered. As TPTB have a rather ugly track record in silencing even well known, and well connected people, I do not want to run the risk that this new approach will be "killed". However, together with some others I'm investigating the possibility of implementing causal analytics on a server, and make it freely available (for a limited data set, i.e., thousands of samples, and maximal twenty parameters). In this way we will be somewhat "hardened" against the nefarious actors who killed science.
The second reason is also very close to my heart. Years ago I came up with a novel way to generate hydrogen using only warmth. This takes basically most of my time. I'm not even sure if it works, but I will never forgive myself if I won't try to find out.