Scores by kind of claim
Each kind of claim is scored on its own, out of 100: the share that held up, with the range it likely falls in. Fewer resolved claims give a wider range.
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Factual claims
Statements about the present or the past, checked against the record: did they hold up?
83 78 88 -
Predictions
Statements about events outside the person's control, checked once they fell due: did they come true?
Insufficient record: 2 predictions resolved, 5 needed for a score.
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Promises
Commitments to the person's or organisation's own future action, with something to deliver: was it delivered?
Insufficient record: 0 promises resolved, 5 needed for a score.
All types combined: 83 (likely 78 to 88, high confidence), from 86 claims: 86 factual claims. It mixes kinds of claim in different proportions for different people, so compare people kind by kind.
Daniela Amodei's claims
43 claims
“They also showed that more than 6,000 women had come in for prenatal care, but only 1,762 had delivered with a healthcare worker present, a discrepancy that the team is investigating and addressing.”
Daniela Amodei, Anthropic co-founder and president, foreword 21 October 2026 Anthropic 2026 Public Benefit Report: Taking stock of our progress (foreword by Daniela Amodei) (Anthropic)
The dashboards showed more than 6,000 women came for prenatal care but only 1,762 delivered with a healthcare worker present.
Resolved true The record shows it happened or was so.
Said for an organisation they lead or work for; it counts on both records.
What would count as true or false
True if the program's dashboards or a published report about them show more than 6,000 women receiving prenatal care and 1,762 deliveries with a healthcare worker present. Mostly true if both figures are confirmed but with a small difference, such as the delivery count being off by a few percent or the prenatal figure being just under 6,000. Mixed if only one of the two figures is confirmed. Mostly false if the reported figures differ substantially but still show a large gap between prenatal visits and attended deliveries. False if the data show no such gap or entirely different figures.
Evidence
- Anthropic details AI progress and safety gaps in 2026 report | ETIH EdTech News — EdTech Innovation Hub EdTech Innovation Hub (ETIH) · 23 October 2026
“In Burkina Faso, the International Rescue Committee has used Claude to turn clinic registers into digital dashboards. The resulting analysis identified a spike of 25,000 pneumonia cases and highlighted a discrepancy in maternal healthcare records: more than 6,000 women had attended prenatal appointments, while only 1,762 recorded deliveries involved a healthcare worker.”
- The IRC turns fragmented health data into faster decisions with Claude Anthropic (claude.com customer case study) · 1 January 2026 Own record
“from January through May 2026, more than 6,000 pregnant women attended prenatal checkups at IRC-supported facilities, while only 1,762 births in the same areas were attended by medical personnel.”
Reasoning
E1 is an independent report on Anthropic's 2026 public benefit report. It says the IRC's Claude-built dashboards in Burkina Faso showed that more than 6,000 women attended prenatal appointments, while only 1,762 recorded deliveries involved a healthcare worker. E2, the Anthropic-hosted IRC case study, gives the same two figures for January through May 2026 at IRC-supported facilities. Both figures in the proposition are confirmed.
Cite this claim
Daniela Amodei, “The dashboards showed more than 6,000 women came for prenatal care but only 1,762 delivered with a healthcare worker present.” (said 21 October 2026). Verdict: resolved true. Reliability API, claim c_0e1d7cecb216, method 0.1.0+28da144b. https://epistacklabs.com/claims/c_0e1d7cecb216
Claims without a verdict
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