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catastrophe modelling

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  1. 1
    Insurance whistleblower says industry fudging climate risk numbersโ–ผI work for a major insurer. Much of my industry is fudging the numbers in the face of the climate crisisMmastodonEnvironmentClimate1254 d ago

    An anonymous catastrophe modeller at a major insurer has written a Guardian opinion piece claiming the insurance industry is understating climate risk. The whistleblower says insurers are taking on more exposure than their models justify, and warns that a major disaster could trigger far-reaching financial consequences across the sector.

  2. 2
    Insurers underestimating climate risks, economists warnโ—Insurance companies are underestimating the risks of climate change - which carries the risk of economic collapse. httpsMmastodonWorldPolitics84 d ago

    A Guardian commentary argues that insurance companies are systematically underestimating the risks posed by climate change, leaving homes and businesses exposed as disasters intensify. The warning is that if insurers misprice these risks, sudden losses could ripple through financial markets and trigger wider economic collapse. The piece calls for a more honest accounting of catastrophe risk in pricing and planning.

  3. 3
    Verisk expert outlines new science of European storm modellingโ–ผVerisk's Guin: Beyond historical data โ€“ the new science of European extratropical cyclone modellingโœ‰newsScience8 h ago

    Verisk's Guin argues that modelling European extratropical cyclones must move beyond historical data, outlining a new scientific approach to assessing these storm risks. The piece addresses how insurers can better understand windstorm losses in Europe, where the historical record alone may not capture the full range of possible cyclone behaviour and financial exposure.

  4. 4
    Anthropic reportedly lobbying for 50-death threshold in AI shutdown rulesโ—๐Ÿ’€ Anthropic Secretly Lobbying Government to Only Shut Down an AI Model If It's Poised to Kill More Than 50 People https:MmastodonTechnologyAI210 h ago

    Anthropic is reported to be quietly lobbying the US government for a regulatory threshold under which an AI model would only be forcibly shut down if it poses a risk of killing more than 50 people. Critics say the proposal would let dangerous systems operate with minimal oversight, while supporters argue it targets only genuinely catastrophic risks.

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    Insurance industry accused of fudging climate risk numbersโ—https://www. theguardian.com/commentisfree/ 2026/oct/14/climate-crisis-insurance-risk-disaster-catastrophe # climatechanMmastodonEnvironmentClimate151 d ago

    A Guardian opinion piece by an industry modeller says major insurers are downplaying climate risks, with analysts under pressure to adjust assumptions rather than report worsening disaster exposure. The piece argues the sector is masking how un-insurable some regions are becoming as catastrophes intensify, raising concerns that households and governments will be left carrying escalating costs.

  6. 6
    New Simulations Explore Supernovae Exploding Inside AGN Jetsโ—This is cool, advanced MHD numerical simulations exploring doubly catastrophic scenarios: "Broadband non-thermal emissioMmastodonSciencePhysics75 d ago

    Astrophysicists are sharing new research presenting 3D magnetohydrodynamic simulations of a supernova exploding within an active galactic nucleus jet โ€” a doubly catastrophic scenario. The work offers broadband predictions of the non-thermal emission such a collision would produce, helping astronomers identify or interpret these extreme events. Researchers online are calling the advanced modelling approach impressive and promising for high-energy astrophysics.

  7. 7
    Severe convective storms remain hard to model, researchers sayโ—Severe convective storms (SCS) are among the most challenging catastrophe perils to model. While # hail , # tornadoes ,MmastodonEnvironmentClimate25 d ago

    Severe convective storms are among the most difficult catastrophe perils to model, according to a research discussion circulating among climate scientists. Hail, tornadoes, damaging winds and extreme precipitation have traditionally been assessed separately, but capturing their dependence, co-occurrence and clustering remains a key challenge for improved risk assessment.