The viewpoint comes from long years in computing and modeling. Early on, the focus of work was the hypothetical (why economics is so dismal). Then, I had the good fortune of working with more mundane issues in the scope of product engineering (all phases).
- Since my career bridged those periods that we saw in the evolution of computational approaches, I had the opportunity to work things that relate to computational mathematics. However, even there, it was nice to deal with the heavily technical side (applied mathematics) of things.
- And, we got products designed, tested, and delivered. The computer grew to be an integral part of processes (all around). Yet, people-in-the-loop were respected (as they are, now, in the coddling environments of Silicon Valley).
- So, the interest in how 'truth' has been squelched, especially in finance, has a lot of basis in experience (and, theory, to boot).
- But, I also know of people who were smart but who were maimed financially by the idiots that mainly look short-term into filling their pockets. What to do about that? At least, when I tell the tales, I can talk from real cases (sufficient to make decisions that are not just swags). But, I have read, too, of the troubles.
- More questions than answers will be seen here.
- Where 'undecidability' or 'quasi-empirical' is used in the context of computational issues, refer, for now, to Computability.
- Where we address 'being' in several cases, one consider the use in phenomenology, but there is more.