Fact-check science claims on Chrome before citing, trusting, or resharing them.
Start with one climate chart, study headline, quoted expert claim, environmental-policy statement, statistics summary, viral science post, or AI answer, then run a FactSentinel first-step source check before you cite or amplify it.
Start with the science claim that needs source context.
Science and climate claims often collapse complex evidence into a chart, headline, quote, statistic, or policy summary. A practical Chrome workflow starts with one exact claim and asks whether the original source trail, dates, study type, sample/context limits, and institutional source quality support it.
1. Preserve the exact claim
Keep the chart label, statistic, time range, study headline, expert quote, policy summary, source link, date, geography, and surrounding wording before the claim gets paraphrased.
2. Run FactSentinel
Review original-source trails, dates, study type, sample/context limits, institutional source quality, consensus-vs-single-study framing, caveats, reasoning, confidence, and model agreement while the claim remains open in Chrome.
3. Cite cautiously
Open the source trail and decide whether to cite with context, keep reading, ask for stronger evidence, separate consensus from one study, or avoid resharing the claim.
Science and climate claims worth slowing down for.
Start where source context can change the next action. Scientific claims can depend on dates, methods, samples, assumptions, geography, whether the source is institutional or commercial, and whether a headline reflects consensus or one study.
Climate and environment claims
- Charts, maps, and statistics that depend on time range or baseline.
- Environmental-policy statements that cite agencies, reports, or regulations.
- Viral posts that compress climate evidence into one image or quote.
Studies and expert quotes
- Study headlines that may overstate causation, certainty, or scale.
- Quoted expert claims where context or field of expertise matters.
- Statistics that depend on sample, denominator, or measurement choices.
Policy summaries and AI answers
- Policy summaries that need the original scientific or institutional source.
- AI answers that mix consensus framing with single-study details.
- Article snippets where the cited source supports a narrower point.
What the check should surface before you rely on it.
The goal is not to settle a live scientific dispute. The goal is to slow the trust decision long enough to inspect original-source trails, dates, study type, sample/context limits, institutional source quality, consensus-vs-single-study framing, and cautious citation/share language.
Original-source trails
- Links tied to the exact science, climate, or statistics claim.
- Dates, source type, and evidence context preserved.
- Caveats when the source is stale, missing, or mismatched.
Study and source context
- Study type, sample/context limits, and measurement choices.
- Institutional source quality and source-trail transparency.
- Consensus-vs-single-study framing before citation.
cautious citation language
- Cite with dates and source context.
- Ask for the original evidence.
- Avoid resharing when the trail is thin or overclaimed.
Related source-aware workflows.
Use the health page for medical and wellness claims, political page for civic claims, social page for viral posts, researcher page for observation workflows, classroom page for teaching checks, newsroom page for editorial checks, news guide for article claims, source guide for citations, hallucination guide for AI answers, and case study for a public fake-sources walkthrough.
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Install, then check one science claim.
Open the download page, install the Chrome extension, and run a first-step check on one climate chart, scientific claim, environment statistic, study headline, expert quote, policy summary, viral post, or AI-generated answer before citing, trusting, or resharing it.