RETHINKING
CLIMATE CAUSES
About the book and website

From laboratory science to climate claim auditing

Why I wrote Rethinking the Causes of Climate Change Using Three Thinking Hats—and why climate claims should be diagnosed before they are believed.

My working life in pathology laboratories and IVD supply was built around systems that were identified, traceable, controlled, reviewed and capable of producing reproducible results. That background shaped the way I approached climate claims: define the question, identify the evidence, test the mechanism, compare alternatives, preserve uncertainty and decide what the conclusion is actually permitted to support.

The book brings together three deliberate perspectives—the IPCC Hat, the Skeptical Hat and the Physics-First Hat—so readers can examine the same claim through institutional science, falsifiability and physical constraint before deciding for themselves.

Read the origin story Explore the Three Thinking Hats
The origin of the method

Diagnosis before belief

The book applies the disciplines of laboratory science and differential diagnosis to climate claims: identify what is observed, separate it from interpretation, test the proposed mechanism and compare plausible alternatives.

1

Laboratory discipline

Identity, method, quality control, uncertainty, reference intervals and reporting were visible and reviewable.

2

The climate reasoning problem

Measurements, models, attribution, scenarios and policy conclusions can become blended so that evidence carries more authority than it has earned.

3

The Three Thinking Hats

Use the IPCC, Skeptical and Physics-First lenses to test evidence, falsifiability, mechanism, constraints and alternatives.

Visual origin story

From traceable science to governed AI-assisted investigation

These infographics show the professional origin of the method and the controls used when AI assists with climate research, comparison and claim auditing.

My Lifetime Experience infographic comparing traceable pathology laboratory and IVD supply systems with AI outputs whose prompts, sources, models, quality controls, delivery and governance may be unclear or untraceable.
My Lifetime Experience: From Traceable Science to Untraceable AIThe comparison explains why AI-assisted climate analysis must expose sources, assumptions, transformations, uncertainty and accountability rather than relying on fluent answers alone.
From Laboratory Science to AI Assurance infographic showing how laboratory controls are translated through SyncLogic and GovAIaaS into scoped claims, registered evidence, documented AI processes, verification, traceability and human accountability.
From Laboratory Science to AI Assurance: Why I Built SyncLogicThe same disciplines that make laboratory results defensible are adapted to climate-claim investigation: define the claim, register sources, test the mechanism, compare alternatives, preserve records and retain human accountability.
Why this book follows

Three hats. One claim. A disciplined investigation.

The Three Thinking Hats are not three predetermined conclusions. They are three structured ways of asking what the available evidence, models and physical constraints are actually entitled to establish.

  • IPCC Hat: examine consensus assessments, models and institutional evidence.
  • Skeptical Hat: test falsifiability, data quality, uncertainty and contrary evidence.
  • Physics-First Hat: test energy flows, entropy, thermodynamic constraints and mechanism.
  • Separate measured observations from model-derived or inferred quantities.
  • Determine whether evidence is sufficient for explanation, prediction or policy.
Continue exploring

Look through all three hats—then decide for yourself.

Explore the Three Thinking Hats, climate claim audits, public audit guides and AI-readable book companion resources.

Explore the Three Thinking HatsContact Walter Shepherd