What Can Shakespeare's Superior Psychology Teach Today's Experts?

Too many top minds have “positive capability” bias. That label usefully contrasts with Keats’ “negative capability,” a poetic idea that applies to many unpoetic experts. It explains why Shakespeare's psychology is better than much of the modern "scientific" sort. 


Too many top minds have “positive capability” bias. That (unideal) label usefully contrasts with Keats’ “negative capability,” a poetic idea that applies to unpoetic “scientific” experts.

1. Keats said “negative capability” formed “the Man of Achievement, especially in Literature.” He was “capable of being in uncertainties ... without any irritable reaching after facts and reason.” Shakespeare had negative capability “enormously,” but “Coleridge ... would let go by a fine isolated verisimilitude” because he couldn’t be “content with half-knowledge.”

2. “Negative capability” was easier for Shakespeare than for Coleridge — Shakespeare wrote before Newton had enthroned the idea of underlying universal mathematical laws, and Coleridge after.

3. Colin McGinn says Shakespeare was a “naturalist without being a scientist.” He described what he saw, without presuming underlying universals drove human behavior (whereas Freud’s universalizing led to imagining all unconsciously suffered oedipal desire).

4. After Newton “subsumed the universe” to math, our thinking universe changed, to presuming universal mathematical patterns underlay everything. But Newton was lucky — nothing in physics chooses. Or innovates. Or needs game logic. But we do. The language of physics basically needs only four force verbs. The syntax of our reality — how its parts fit — is richer. (See also Newton pattern vs. Darwin pattern.)

5. Obviously, I’m not against “facts and reason,” but many thinkers often now reach unthinkingly (and unskillfully) for data, and statistics, and studies. Whereas much that matters isn’t in “the numbers.” And much is true without data (see analytic vs. synthetic truths, and the logic of needism).

6. Pureeing “Big Data” in the stats blender can easily mislead — e.g., the average human has one testicle and one ovary. Without skilled qualitative distinctions, quantification can confuse. Statistical tools were developed in fields with relatively stable populations and patterns. Much in our lives isn’t; e.g., we know sports stats aren’t safely predictive.

7. Data, like poetry, depends on metaphors. Data typically has at least two: a) Pythagoras’ fruitful, but limiting, “all things are numbers,” and b) that “the numbers” mathematically mimic reality.

8. Data in history (or social science) often isn’t like data in physics. People aren’t biological billiard balls: We react varyingly. (As Rochefoucauld said, "At times we are as different from ourselves as we are from others.")

9. Economics needs more “negative capability.” As Noah Smith notes the necessity of “being in uncertainties” arises because “macroeconomic data is too weak.” Experts who don’t advise contingencies accordingly, suffer “positive capability” bias: overreliance on the beloved ideas and tools they’re expert in (see the one-trick hedgehog, and one billionaire’s view). Why assume economic stats are more like those in physics than sports?

10. The conceptual skeleton (interconnected deep metaphors) many experts use risk cognitive rigor mortis. The logic of language provides wider metaphors to animate our thinking than math. Perhaps our lives are more grammatical than mathematical, and more polymorphic than physics. E. O. Wilson advises scientists to think more “like poets.”

Blake prayed “May God us keep / From Single vision & Newton’s sleep.” Whether God will or won’t, skilled reasoning should.

 

Illustration by Julia Suits, The New Yorker Cartoonist & author of The Extraordinary Catalog of Peculiar Inventions.

NYTimes exposé reveals how Facebook handled scandals

Delay, deny and deflect were the strategies Facebook has used to navigate scandals it's faced in recent years, according to the New York Times.

(Photo by Chip Somodevilla/Getty Images)
Politics & Current Affairs
  • The exhaustive report is based on interviews with more than 50 people with ties to the company.
  • It outlines how senior executives misled the public and lawmakers in regards to what it had discovered about privacy breaches and Russian interference in U.S. politics.
  • On Thursday, Facebook cut ties with one of the companies, Definers Public Relations, listed in the report.
Keep reading Show less

Russian reporters discover 101 'tortured' whales jammed in offshore pens

Protected animals are feared to be headed for the black market.

(VL.ru)
Politics & Current Affairs
  • Russian news network discovers 101 black-market whales.
  • Orcas and belugas are seen crammed into tiny pens.
  • Marine parks continue to create a high-price demand for illegal captures.
Keep reading Show less

Unraveling the mystery behind dogs' floppy ears

Dogs' floppy ears may be part of why they and other domesticated animals love humans so much.

Photo by Jamie Street on Unsplash
Surprising Science
  • Nearly all domestic animals share several key traits in addition to friendliness to humans, traits such as floppy ears, a spotted coat, a shorter snout, and so on.
  • Researchers have been puzzled as to why these traits keep showing up in disparate species, even when they aren't being bred for those qualities. This is known as "domestication syndrome."
  • Now, researchers are pointing to a group of a cells called neural crest cells as the key to understanding domestication syndrome.
Keep reading Show less