We must democratize computational skill

We need to bring the fire down from the mountain. We are not on that project — we are still on the opposite project: keeping the wizards behind the curtain.

Too many of the wizards are male, and are busying themselves in playing petty economic and status zero-sum power games instead of recognizing the context they are in — we are all in — as an infinite game in which the enlargement of the participant group to include and, not just reluctantly tolerate, but to avidly welcome women in to the club will massively benefit all the players. 

Then there are the white wizards who create pseudoscientific rationalizations for wasting time obsessing over 18th century racial animus as a massive distraction from having to do the work of creating anything useful or contributing any value to the world. They’ve taken their centuries of evolutionary advantage and painstakingly developed economic pie to split hairs over who ought to be denied a few of the crumbs, as a cheap method of papering over the deep well of collective insecurity and ego fragility precipitated by a lack of meaningful individuation and their failure to create anything useful or contribute any value to the world.

We could be playing this game together. Instead, we furtively dart about in Plato’s Cave imagining we are still living in a world of scarcity, rather than leveling ourselves up to behold the vision of the new world of abundance we have the capacity to create.

Not Ready Player One.

Even a slight preference for homophily results in excessive segregation

This was economist Thomas Schelling’s insight way back in 1969 — just one of many examples of “unknown knowledge” that exists in the world today. His Spatial Segregation Model takes a few simple premises and shows that a set of quite tolerant people, who genuinely prefer to live in a diverse neighborhood in terms of race, income, and other factors, nevertheless end up self-segregating into clusters of like individuals — as follows:

Slight preference for homophily: 30%

We set up a fairly dense environment with a low preference for similarity — people are quite tolerant and are only looking to have 30% of their near neighbors be similar to them:

But when we run the simulation, we end up with an equilibrium state where individuals are surrounded by 75.2% similar neighbors:

If we run the model with a 50% preference for similar neighbors, the outcome is even more stark: the agents achieve equilibrium at a whopping 87.7% similarity:

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