Overview

Of course, anything dealing with "truth" will look at philosophical issues. Too, though, in the modern context, we have to look at computational issues. Hence, we will collect some thoughts on those topics (see below).

Caveat:

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. 

The t-issues, whether small or large (gnarly).

• 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.