turingbike

Is it worth checking out? emphatic yes

Summarize? I will try, and probably not do a great job; I'm still digesting it.

The world is both "nebulous" [1] and patterned; observed patterns aren't really out there so much as a combination of "there" and in our mind. Some of these patterns are incredibly useful. One pattern is "the rational / modern world view", which lets science work. It is very good, but not complete.

Post-modernism noticed that no pattern is a perfect fit on the partially-nebulous world, and went nowhere with that, and ended up in a nihilistic, bad place. That isn't good.

The goal is to see patterns as useful, conventional truths, not ultimate truths. Then you can pick the right pattern / conceptual framework with which to approach a given situation.

> The theory is this: Infinite Jest is Wallace's attempt to both manifest and dramatize a revolutionary fiction style that he called for in his essay "E Unibus Pluram: Television and U.S. Fiction." The style is one in which a new sincerity will overturn the ironic detachment that hollowed out contemporary fiction towards the end of the 20th century. Wallace was trying to write an antidote to the cynicism that had pervaded and saddened so much of American culture in his lifetime. He was trying to create an entertainment that would get us talking again.

In this TDS post, the author says "Statisticians and Actuaries are at the bottom of the heap as a prior role for existing data scientists." Maybe this isn't a coincidence? Plenty of companies had statisticians on staff, but the explosion of data science happened anyway. Why? Because data scientists do the same types of tasks as statisticians, but while statisticians are of the data modeling culture, data scientists are expected to be of the algorithmic modeling culture. It seems that the market is saying that the algorithmic modeling culture is getting results.

The author references "Type A vs Type B Data scientists" [2], which seems to be getting at the same thing: "The Type A Data Scientist is very similar to a statistician... Type B Data Scientists share some statistical background with Type A, but they are also very strong coders and may be trained software engineers. The Type B Data Scientist is mainly interested in using data "in production." They build models which interact with users, often serving recommendations (products, people you may know, ads, movies, search results)." For whatever reason, there is a correlation between Algorithmic modeling / Type B and "getting things done".

But, yeah, if THC causes anxiety for you, try to never go above a 1:1 THC:CBD ratio. For comparison, most sativas are around 200:1 (20% THC : .1% CBD). Since CBD is legal over the counter, you can usually enforce this ratio, regardless of the THC source.