In an earlier blog I quoted extensively from "The Mythical Man-Month", a book by the distinguished software engineer Fred Brooks. My blog was admittedly self-interested(!) when it cited arguments made by Brooks (and others) for when it makes sense to buy software instead of writing it yourself. However in place of "buying" one could perhaps bette
I'm not a fan of the hyperbolic use of military metaphors in civilian life. However, in rare cases they do seem appropriate, and the ongoing SAR-Cov-2 pandemic provides an example. After all, describing a worker as "front-line" seems justified when the occupation carries a materially increased risk of infection and death (SAGE, 2021).
That there is "no substitute for experience" is a truism, and one that is very tempting to apply wholesale to human immunity. Indeed, we previously touched upon an particular feature of the 1918 Spanish Flu outbreak, the so-called "W-shaped" mortality impact resulting in disproportionate fatalities amongst younger adults in the 20-40 range.
If you are in the business of pricing and managing longevity risk, you need software to help you perform your analysis. You have two choices:
A large part of our service has traditionally revolved around Dedicated Servers — parallelised instances of our applications running on multi-threaded platforms for a single license holder (in contrast our shared servers offer single-thread performance in a multi-tenant way to multiple license holders, a model that is suitable for only the least demanding use-cases).
Epidemics and pandemics are, by definition, fast-moving and difficult to track. These are the diseases that we couldn't keep a lid on, outbreaks that breached our initial efforts at control. It follows then, that ongoing reporting of such diseases won't be entirely accurate, subject to various limitations imposed by testing and recording protocols. This reality is misused by some who believe that reported impacts are exaggerated and societal responses unjustified, but such a belief runs counter to the evidence.