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Evidence inspector

Asia-Pacific · 2026-06-27

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
fc631392ba36c7641a00034f9f8023513ef4d4d97680b972af9754c13d5a33a6

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 2026-06-27 was in the prompt.

01

Heatwave Map Spotlight: South Asia

A severe heatwave is affecting India, Pakistan and Afghanistan, with temperatures exceeding 100°F (38°C) across the region. Learn more about ongoing hea...

iqair.com

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 18.0 points of the 0-100 scale.

deepseek-reasoner
deepseek
52.0
okUnstable

The Asia-Pacific region faces multiple simultaneous stressors including a severe South Asian heatwave, food security crises in Bangladesh requiring emergency financing, and climate-related crop failure risks in Indonesia. Geopolitical tensions, such as US Navy preparedness concerns relative to China and Middle East instability affecting regional travel patterns, add to the volatility.

evidence fc631392ba36…prompt p1
claude-haiku-4-5
anthropic
42.0
okElevated

The APAC region faces multiple concurrent stressors including severe heatwaves affecting South Asia, climate-driven crop failures in Indonesia, economic pressures requiring emergency World Bank financing for Bangladesh, and labor market disruptions from automation in China. However, these challenges are primarily economic and environmental rather than acute security threats, with tourism recovery and industrial resilience providing some stabilizing factors, though underlying vulnerabilities in food security and climate adaptation remain significant concerns for regional stability in the medium term.

evidence fc631392ba36…prompt p1
gemini-3.1-pro-preview
google
40.0
okElevated

Environmental stressors like severe heatwaves in South Asia and crop failure risks in Indonesia are compounding economic vulnerabilities, prompting emergency interventions such as a $1.1 billion World Bank loan for Bangladesh. However, regional stability is maintained by resilient industrial profits in China and a surge in short-haul tourism across Southeast Asia, keeping overall geopolitical tensions manageable despite underlying US-China military readiness concerns.

evidence fc631392ba36…prompt p1
llama-3.3-70b-versatile
groq
40.0
okElevated

The region is experiencing a severe heatwave in South Asia, and economic instability in Bangladesh, which are concerning factors, but the overall economic and tourism trends in other parts of the region, such as Singapore and Japan, remain relatively stable. However, the US Navy's repair gap and the potential for conflict with China, as well as the widening economic divide in China, contribute to the elevated chaos score.

evidence fc631392ba36…prompt p1
claude-opus-5
anthropic
34.0
okElevated

The evidence shows compounding climate and economic stress — a severe South Asian heatwave, crop failure risk in Indonesia, and a $1.1 billion World Bank emergency package for Bangladesh's food security — but no active armed conflict or governance breakdown in the region. Strategic friction is limited to analytical commentary on US Navy readiness versus China, while tourism growth and resilient Chinese industrial profits point to underlying economic normality.

evidence fc631392ba36…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.