The Nominal Fallacy

 "Dark Matter" and "Dark Energy" are Terms That Hide Ignor...

We can measure the influence of this thing we call dark energy, which is forcing an acceleration of the expanding universe. We don't know what that is, we don't know anything about it, other than what it's doing to the universe. Then 85 percent of the gravity of the universe has a point of origin about which we know nothing. We account for all the matter and energy that we're familiar with, measure up how much gravity it should have — it's about one-sixth of the gravity that's actually ope...

 "Holistic" is a Word That Hides Our Ignorance

We're often told that certain wholes are more than the sum of their parts. We hear this expressed with reverent words like holistic and gestalt, whose academic tones suggest that they refer to clear and definite ideas. But I suspect the actual function of such terms is to anesthetize a sense of ignorance. We say gestalt when things combine to act in ways we can't explain, holistic when we're caught off guard by unexpected happenings and realize we understand less than we thought we did.

 "Colic" Means "I don't know why your baby is crying"

The strict medical definition of colic is a condition of a healthy baby in which it shows periods of intense, unexplained fussing/crying lasting more than 3 hours a day, more than 3 days a week for more than 3 weeks. There’s that word there, unexplained. For years I thought this word “colic” described a phenomenon that was understood and therefore natural. The etymology of the word, pertaining to “disease characterized by severe abdominal pain” in the early 15th century suggests ...

 "Intelligent" Holds "Paranormal" Connotations

As soon as AI successfully solves a problem, the problem is no longer a part of AI. Pamela McCorduck calls it an "odd paradox," that "practical AI successes, computational programs that actually achieved intelligent behavior, were soon assimilated into whatever application domain they were found to be useful in, and became silent partners alongside other problem-solving approaches, which left AI researchers to deal only with the "failures," the tough nuts that couldn't yet be cracked."[3]