How Blackouts during Heat Waves Amplify Mortality and Morbidity Risk
Cited in 2 Likelier entries (2 risks, 0 decisions).
Used in 2 entries
For each citing entry, the verbatim excerpt and Likelier's calculation notes (how the source's number was converted to the lifetime-probability framing) are shown below. Click through to read the full claim ledger.
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- Statistic
A concurrent multiday blackout during heat-wave conditions more than doubles the estimated rate of heat-related mortality across Atlanta, Detroit, and Phoenix; Phoenix showed by far the largest amplification.
“"We find the concurrence of a multiday blackout event with heat wave conditions to more than double the estimated rate of heat-related mortality across all three cities."”
Calculation notes
Supports the "multiday power outage during a heat wave" personal factor multiplier of 2 (≥2× from "more than double"). Modeling study of compound heat-plus-grid-failure events in three US cities; the factor is the cross-city floor, not the Phoenix-specific worst case. Also underpins the post-storm-heat caveat (Hurricane Beryl, 2024). Does not affect the headline global lifetime figure.
Independence note: Stone et al. is a primary modeling study (3HEAT / Three-City Heat and Electrical Grid Failure Adaptation Study) on compound infrastructure-climate hazards, independent of the WHO, Zhao, and JAMA mortality-trend sources.
Source date: 2023-05-24 · Accessed: 2026-06-14
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- Statistic
A combined heat wave and blackout multiplies heat mortality roughly 2x in Detroit/Atlanta and ~7x (about 700%) in Phoenix vs. heat alone
“more than 50% of the population”
Calculation notes
Provides the mechanism and the upper-tail scale: a prolonged blackout during a severe heat wave can multiply heat mortality several-fold to (in Phoenix) ~700%. Used to justify the wide upper bound (5e-4) of the uncertainty band, since Beryl was a mild heat coincidence. Excerpt is the verbatim Phoenix morbidity figure (share of population needing emergency care).
Independence note: Independent Georgia Tech / University of Michigan modeling team.
Source date: 2023-05-22 · Accessed: 2026-06-13
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