🗡 Third Dimension: Unifying Double-edged Binary words

[hyunjimoon]

• local-global, individual-population (Monthly Model Mural #101)
• hard-soft (Knightian, Aleatoric, Epistemic Uncertainty (Knowing the know) #102)
• hawk-dove, midas-penia, scrooge-gatsby, expansion-recession (Typifying distribution #97 (comment))
• joker-batman (🃏 Joker that completes Batman #71)

[hyunjimoon]

Bad side of swords:

• I can't do much about being black and big (The newsroom S1E7 1-May)

• don't define me as black gay man, I support for his abortion policy (The newsroom S1E6 Bullies)

[hyunjimoon]

This double-edged may be the flexibility, in fact, it may be one side in a higher dimension (elephant metaphor). Following is example:

If I were to ask what regulatory function is, I would describe the mechanism of prior distribution during Bayesian update. Ultimately, the prior distribution function is a regulator, but this goal can be achieved via both addition and subtraction. Depending on the data, the prior can either inject heterogeneity through a diffuse prior or remove homogeneity by excluding extreme conditions. The art of unifying seemingly opposite functions as one consistent frame is a key to a generic testing tool.