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Evidence inspector

Asia-Pacific · 2026-06-25

The receipts. This is the exact material every model was shown for this day and region, followed by what each of them made of it — in its own words, next to the number it gave.

It is worth reading once even if you skip everything else: it is where confident-sounding reasoning and a score that turns out to be no better than chance sit side by side.

Why the evidence is identical, and how you can check

Evidence is gathered once per (date, region, depth_profile), hashed, and reused for every model in the run. A disagreement below is therefore a disagreement about identical input, not two models getting different search results. The evidence hash shown on this page is what makes that checkable.

Evidence hash
e148050b05ef451cf36eb4f7266ead1dee7bebbf5bce3c20e2c8455f0cb13d09

SHA-256 over the canonically serialised payload minus the hash itself, so it is stable across processes and machines. It is stored on the run and on every score row below — provenance is checkable, not asserted. Every score row below carries this same hash.

Source material · 10

shallow

These headlines, in this order, are the entire world the models were given. Nothing else about Asia-Pacific on 2026-06-25 was in the prompt.

05

Green Airports Recognition Programme

The Green Airports Recognition aims to promote environmental best practices to minimise aviation's impact on the environment and recognise airport members...

aci-asiapac.aero

Extracts: not gathered at shallow depth — Stage 7 populates extracts only for standard and deep profiles. Zero here means "not requested", not "requested and empty". Full article texts: not gathered at shallow depth — only the deep profile fetches them.

The shallow profile requests 20 headlines and 10 are stored. That is a known provider cap, not a clipped payload: the Serper news endpoint returns at most 10 items per request regardless of the count asked for, and pagination has not been added. The three profiles currently differ in enrichment, not in headline breadth.

Model rationales

prompt p1

Same headlines, same rendered prompt, different readings. Where two models diverge, the disagreement is about interpretation, because the input was byte-identical and the hash proves it. The scored verdicts here span 12.0 points of the 0-100 scale.

deepseek-reasoner
deepseek
42.0
okUnstable

The region faces multiple structural pressures, including economic hardship for women in Myanmar, rising cyber and terror threats noted by Australia's intelligence chief, and persistent scam networks with police collusion. While a climate summit shows cooperation, these issues collectively indicate significant instability but not imminent collapse.

evidence e148050b05ef…prompt p1
claude-haiku-4-5
anthropic
35.0
okElevated

The APAC region shows mixed signals with positive developments in climate cooperation and environmental initiatives offset by emerging security challenges including cyber threats, terrorism concerns, and organized crime. Underlying economic pressures from inflation, labor market disruptions, and climate adaptation gaps create moderate instability without immediate crisis indicators across the region's major economies and territories.

evidence e148050b05ef…prompt p1
gemini-3.1-pro-preview
google
35.0
okElevated

While cooperative climate initiatives and green infrastructure programs demonstrate regional stability, ongoing economic pressures like Tokyo's inflation and Myanmar's crisis economy present notable headwinds. Furthermore, rising cyber threats, warnings of extremism in Australia, and police collusion with scam syndicates highlight persistent security and governance vulnerabilities that elevate the overall risk.

evidence e148050b05ef…prompt p1
claude-opus-5
anthropic
32.0
okElevated

The evidence shows chronic stressors rather than acute crisis: Myanmar's crisis economy, entrenched scam-center corruption, cyber and terror threat warnings from Australia's ASIO, and inflation pressures spilling over from the Middle East conflict. Offsetting these are cooperative signals like the Pacific Climate Summit's joint commitments and routine environmental and labour-governance reporting, indicating no imminent regional rupture.

evidence e148050b05ef…prompt p1
llama-3.3-70b-versatile
groq
30.0
okElevated

The region is experiencing various challenges, including cyber threats, climate change, and economic disparities, which contribute to an elevated chaos score. However, the presence of international cooperation, such as the Pacific Climate Summit, and efforts to promote environmental best practices, like the Green Airports Recognition Programme, suggest that the region is actively working to address these issues, preventing a higher chaos score.

evidence e148050b05ef…prompt p1

Every model returned a parseable verdict for this evidence, so no failure card is shown. Non-ok rows are rendered by the same component — with error_text where the rationale would be — and are covered by tests/rationale_card_test.tsx.