What makes up the self

Following up on my last post, I am also wondering about where IQ comes from.   As noted there, there seems to be a genetic component to IQ because IQ tends to be stable over an individual’s lifetime, and there seems to be an environmental component since IQ scores have been increasing in recent generations.…

Justifying fascination of martial arts

Clearly there are better philosophies that introduce morals, charity, cooperation, restraint, human rights, etc. Unfortunately, they don’t ever fully refute the default philosophy of the martial arts. As implied in the video at the top, sometimes these elevated philosophies come into conflict in a way that must be resolved by the default philosophy of martial arts.

Our admiration of the martial arts is a result of our respect for the strength of its underlying philosophy.

Thoughts about the nature of intelligence


Spontaneous Data

With big data, we end up with deep historical data from distant events. There will be something needed to fill in the gaps that were mysteries at the time. That gap filler will be spontaneous data whether we acknowledge it or not. Even if we as humans leave the gap unfilled, we can’t be sure that our data analytics or machine learning algorithms won’t fill it. When it does, how can we be sure it won’t come up with a supernatural explanation that it keeps to itself?

Cosmic teachers


Big data challenges mechanical determinism theory of mind


Dark nothing hypothesis macro-sized particles


Truth as a confounding variable that interferes with interpreting data

Dedomenocracy is a scaled up version of modern data science practice using big data predictive analytics to automate decision making. As a data science project, there is a need to evaluate the data in terms of how closely it represents a fresh unambiguous observation of the real world at a specific time instead of a reproduction of a past observation through model-generated dark data. Darker data involves some level of contamination with historic observations or with our interpretation of past observations. The problem with darker data is that its use of old and potentially outdated data can discount more recent observations that can tell us something new and unexpected about the current circumstances of the world.