Thursday, December 4, 2025

Yes, Follow the Data. Even if it Does Not Fit Your Agenda

When people argue we need to “follow the science” that should be true in all cases, not only in cases where the data fits one’s political preferences. 


So we have heard that the Great Barrier Reef has suffered from bleaching and other issues attributed to global warming. 


But In 2022, the Australian Institute of Marine Science reported the highest levels of coral cover across two-thirds of the Great Barrier Reef in over 36 years. If you don’t hear much about that, the issue is “why?” 


We also hear that rising sea levels will drown Pacific nations which are on islands. But an analysis of shoreline change in all 101 islands in the Pacific atoll nation of Tuvalu show a increase in land area in Tuvalu of 2.9 percent, despite sea-level rise, and land area increase in eight of nine atolls.


Rising sea levels remain an issue, but the point is that adaptation is happening. As with the Netherlands historically, seawalls and reclamation have a definite effect. Islands are not static landforms, in other words. 


The larger point is that we have to follow the real data. And sometimes the models are exaggerated. That is not to deny there are issues, simply to note that exaggeration does not help. 


The leading science journal Nature, for example, just retracted a paper that claimed “climate change”  will reduce global economic output by 62 percent by the end of the century. 


But when skeptical  researchers checked the math, they found the underlying data indicated a 23 percent loss, not 62 percent. And a 6 percent loss by 2050, not 19 percent. There is still an issue, but it might not be “existential,” the term people loosely throw around. 


Many people use the term “climate change,” but it is a term I tend not to use, as it is meaningless. Earth’s climate has always changed. 


The more-precise concepts would be the direction of change and the degree of human-caused change, taking into account mitigation steps that might actually help in some meaningful way without also harming our efforts to keep humans out of poverty, hunger and threat of disease, for example. 


In other words, if you argue we must reach “net zero” emissions, for example, many of us have to weigh that against the other human costs, which might well include lower living standards, poverty, hunger or lack of economic development, everywhere, but especially across the Global South.


None of this is to deny a problem exists. But anthropogenic (human-caused) climate change is a much smaller factor at the local and regional scale than natural climate variability, says Ted Nordhaus, director of research at The Breakthrough Institute


“Even in the case where climate sensitivity proves to be relatively high, additional anthropogenic warming is an order of magnitude less than the oscillations of natural variability,” he says. 


So follow the data. Always. Consistently. Even if it does not fit one’s agenda.


If AI Development Continues at Current Pace, What Changes in 5-10 Years?

If the current pace of artificial intelligence development continues at current rates (doesn’t slow or speed up), life might look significantly different in five to 10 years. Some predict many of these changes will happen by 2030, but it might also take a decade for most of them to fully develop as expected. 


Among the more-important changes are those related to work and productivity, with impact on government spending for universal basic income, who works and why.


Global gross domestic product could be 15 percent to 30 percent higher than baseline forecasts, based solely on automation of knowledge work.


That could well mean 20 percent to 40 percent of current jobs are heavily transformed or gone. But new jobs are created in the areas of AI orchestration, data curation, human-AI interaction design, and robot maintenance.


We face the danger of “K-shaped” economic impact, where massive gains accrue to AI owners, the top-five-percent of people who direct AI development and capital owners, while many others find themselves out of work because of automation. 


So universal basic income or similar policies will become mainstream political topics in most developed countries. If people are not needed to do “work,” how do they sustain themselves?


Area

Daily Life in 2030

How Work Gets Done in 2030

Industries That Benefit Most (and Why)

Personal Assistants

Every person has a highly personalized AI agent (like a supercharged Grok/Siri) that knows your entire digital life, anticipates needs, books everything, manages finances, reminds you to call your mom, and negotiates bills automatically.

70-90% of knowledge-work tasks (emails, scheduling, research, basic coding, writing, slide decks) are handled by AI agents with human oversight only for final sign-off.

Software development, legal, marketing, consulting, education

Transportation

Most new cars sold are Level 4 autonomous. Robotaxis dominant in cities (Waymo/Uber-like fleets 10-20× larger). Commutes drop 30-50% in time; people work/read/sleep in cars. Traffic deaths plunge.

Delivery and logistics almost entirely autonomous (drones + robot trucks). Human truck drivers and delivery couriers largely obsolete.

Autonomous vehicles, logistics (Amazon, UPS), insurance (far fewer claims)

Healthcare

AI wears you (continuous monitoring via wearables/implants). Your AI doctor catches cancer years earlier, adjusts your meds in real time, and designs personalized treatment plans. Doctor visits mostly for procedures.

Radiologists, pathologists, and many GPs shift to oversight roles. Drug discovery cycle drops from 10 years to <18 months. Clinical trial matching automatic.

Pharmaceuticals, medical devices, health insurance (prevention focus)

Education

Every student has an infinitely patient AI tutor tailored to their learning style. Top 1% human teachers oversee 1,000+ students via AI orchestration. Dropout rates collapse; mastery-based progression standard.

Teachers become “learning experience designers” and mentors. Corporate training almost entirely AI-driven.

EdTech, corporate L&D, tutoring industries disappear into AI platforms

Creative Industries

Text, images, music, video, and code generated on demand at near-human quality. Most marketing copy, social media content, and stock photography created by AI. Hollywood uses AI for pre-vis, VFX, and even full animated features.

Human creatives shift to directing AI, curating, and adding final 10% “soul.” Mid-tier writers/artists struggle; superstars + AI directors thrive.

Gaming, advertising, entertainment, architecture (AI-generated designs)

Manufacturing & Retail

Lights-out factories common. 3D-printed custom goods on demand. Most retail shifts to “showroom + same-day local print/delivery.”

Blue-collar supervision roles shrink; technicians who fix/maintain robots rise.

Advanced manufacturing, custom consumer goods, defense

Finance & Law

AI agents trade stocks, detect fraud, write basic contracts, and do discovery. 80% of paralegal and junior analyst work automated.

Senior partners and quants become AI orchestrators. High-frequency trading 100% AI.

FinTech, crypto/DeFi, legal tech

Energy & Environment

AI optimizes grids in real time, predicts renewable output, and designs better batteries/solar panels. Massive acceleration in fusion and carbon-capture research.

Energy trading and grid operations fully autonomous.

Clean energy, nuclear fusion startups, carbon removal

Government & Military

Bureaucracy heavily automated (permits, tax filing, welfare distribution). Military drones and cyber operations almost entirely AI-driven.

Large reduction in middle-management civil servants.

Defense contractors, gov-tech


If You're Looking for "Black Swan Events" You'll Never Find Them

A true black swan isn't just unlikely; it's something that exists outside our prevailing model of reality.


Before Europeans encountered Australian swans, "black swan" was literally synonymous with impossibility. The shock wasn't statistical rarity but categorical impossibility suddenly becoming real. Taleb's point was precisely that we're blind to entire dimensions of risk because our frameworks exclude them from consideration.


When financial commentators compile lists of "potential black swans," they're performing an almost comedic self-contradiction. They're essentially saying: "Here are the things we can't anticipate that we're now anticipating."


This suggests the concept has been domesticated into meaning merely "really bad thing we hope won't happen."


The real black swans remain the ones we're not talking about, often because they involve assumptions so foundational we can't even articulate them.


And yet this “domestication” of ideas, theories or principles happens all the time. By definition, we can’t "warn" about black swans because they are, by definition, unforeseeable. 


But the watering down or domestication of any principle, theorem or idea seems to be irresistible. 


Original Concept

Original Meaning

How It Gets Misapplied

Occam's Razor

Among competing hypotheses with equal explanatory power, prefer the one with fewer

assumptions

Used to dismiss complex

explanations simply because they're complex, or to justify intellectual

laziness ("the simplest answer is

usually right")

Gaslighting

A systematic psychological manipulation tactic to make

someone doubt their own sanity

and perception of reality

Now applied to any disagreement, misremembering, or different

perspective ("You're gaslighting me

by saying that didn't happen!")

Kafka-esque

The nightmarish absurdity of faceless bureaucracy stripping individuals of agency and

meaning

Used to describe any mildly frustrating paperwork or

administrative delay

Orwellian

Totalitarian manipulation of

language and reality to control thought itself

Applied to any government action someone dislikes, any surveillance,

or even just opposing political views

Strawman Fallacy

Misrepresenting someone's actual argument to make it easier to attack

Now weaponized to shut down any paraphrasing or summary ("That's a strawman!") even when it accurately

captures the position

Cognitive Dissonance

The psychological discomfort of holding contradictory beliefs simultaneously, which motivates

attitude change

Used as a gotcha accusation meaning "you're being hypocritical" without

the internal discomfort component

Dunning-Kruger Effect

The least competent people lack the metacognitive ability to

recognize their incompetence

Simplified to "stupid people think

they're smart" and used as a general- purpose insult, often by people demonstrating the effect themselves

Narcissism/Narcissistic Personality Disorder

A specific clinical personality disorder involving grandiosity, lack of empathy, and fragile self-

esteem

Applied casually to anyone who seems selfish, takes selfies, or

displays confidence

Correlation vs. Causation

Statistical correlation between variables doesn't prove one

causes the other

Used reflexively to dismiss any suggested causal relationship, even well-supported ones, as if correlation

can never suggest causation

Schrödinger's Cat

A thought experiment about quantum superposition and measurement problems in

quantum mechanics

Misused to mean "we don't know the answer until we check" about any unknown situation

The Butterfly Effect

Sensitive dependence on initial conditions in chaotic systems

Watered down to "everything affects everything" or used to justify magical thinking about tiny actions having massive predetermined

effects

Stockholm Syndrome

Psychological response where hostages develop positive

feelings toward captors as a

survival mechanism

Applied to any situation where

someone defends an institution or person that others think is harming them

Heisenberg's Uncertainty Principle

Fundamental quantum limitation on simultaneously measuring position and momentum

Misapplied to mean "observing something changes it" in any context, or that all knowledge is inherently

uncertain

Gaslighting (worth repeating)

Deliberate, systematic psychological abuse to make

victims question reality

Reduced to mean "lying,"

"disagreeing," or "remembering differently"

Devil's Advocate

Formally arguing against a position to test its strength, even if you agree with it

Now means "let me say something offensive without consequences" or "I'm about to be contrarian for

attention"

Virtue Signaling

Publicly expressing opinions to demonstrate moral superiority

without genuine commitment

Extended to dismiss any public expression of values, making

authentic moral discourse impossible

Paradigm Shift (Kuhn)

Fundamental transformation in scientific worldview that makes old and new frameworks

incommensurable

Applied to any minor change in approach or trending topic ("a paradigm shift in coffee brewing")

Thought Experiment

Rigorous hypothetical scenarios designed to isolate variables and

test philosophical principles

Used for any random "what if" speculation without intellectual rigor

Echo Chamber

Self-reinforcing information environments that completely exclude contrary views

Applied to any community of people who largely agree, even ones that regularly engage with outside

perspectives

Moving the Goalposts

Changing standards of evidence

after they've been met to avoid conceding a point

Invoked whenever someone refines

or adds nuance to an argument during discussion

Yes, Follow the Data. Even if it Does Not Fit Your Agenda

When people argue we need to “follow the science” that should be true in all cases, not only in cases where the data fits one’s political pr...