Anna Cabré Albós

In a UN speech today, President Trump said that "all of these [climate] predictions were wrong".

Back in 2019 I led a research effort to digitize old climate model projections and assess how well they did. Turns out they got future warming pretty spot on!

Factcheck: Trump’s climate report includes more than 100 false or misleading claims

BREAKING - @Carbonbrief has worked with dozens of climate scientists and uncovered 100 false or misleading statements in the infamous DoE report, which, eg, claims that “CO2-induced warming might be less damaging economically than commonly believed”

🤡

interactive.carbonbrief.org/doe-factchec...

Stop saying "the clean energy revolution is inevitable" A little rant on a pet peeve.

Alternative to “The clean energy revolution is unstoppable.” The clean energy revolution is unstoppable, but right now it’s being slowed down significantly by a handful of corrupt assholes....

heated.world/p/stop-sayin...

‘This is a fight for life’: climate expert on tipping points, doomerism and using wealth as a shield Economic assumptions about risks of the climate crisis are no longer relevant, says the communications expert Genevieve Guenther

www.theguardian.com/environment/...

Guest post: More than 70% of adaptation plans for European cities are ‘inconsistent’ - Carbon Brief More than 70% of European cities are not adapting to climate change in a consistent and coherent way.That is the headline finding of our new study, published in Nature Climate Change, on how European ...

www.carbonbrief.org/guest-post-m...

Two-thirds of global warming since 1990 caused by world’s ‘wealthiest 10%’ - Carbon Brief Of the 0.61C increase in global average temperatures over 1990-2020, a new study estimates that 65% was due to the emissions of the wealthiest 10%.

www.carbonbrief.org/two-thirds-o...

Exclusive: NSF stops awarding new grants and funding existing ones US science funder also plans to screen grant applications for compliance with ‘agency priorities’.

www.nature.com/articles/d41...

This Earth Day, we must fund science and our planet’s future By Irina Marinov Ph.D. and Michael E. Mann Ph.D.

philadelphiascienceaction.substack.com/p/this-earth...

Why climate research is important and how we lost a grant with the recent cuts.

Climate Modeling Using climate modeling, researchers gain real-time insights into the past, present, and future impacts of climate change on our planet. Running and analyzing climate models under different greenhouse ...

environment.upenn.edu/events-insig...

It happened. Trump and Elon cut our Dept of Defense grant on climate, adaptation, migration, and conflict.

Trump energy chief says there are upsides to ecological collapse Seven Democrats voted to confirm this man. Seven!

Imagine if the CEO of Purdue Pharma went on TV and said there were “pluses” to opioid addiction

Scatterplot titled “Empirical Evidence of Ideological Targeting in Federal Layoffs: Agencies seen as liberal are significantly more likely to face DOGE layoffs.” • The x-axis represents Perceived Ideological Leaning of federal agencies, ranging from -2 (Most Liberal) to +2 (Most Conservative), based on survey responses from over 1,500 federal executives. • The y-axis shows Agency Size (Number of Staff) on a logarithmic scale from 1,000 to 1,000,000. Each point represents a federal agency: • Red dots indicate agencies that experienced DOGE layoffs. • Gray dots indicate agencies with no layoffs. Key Observations: • Liberal-leaning agencies (left side of the plot) are disproportionately represented among red dots, indicating higher layoff rates. • Notable targeted agencies include: • HHS (Health & Human Services) • EPA (Environmental Protection Agency) • NIH (National Institutes of Health) • CFPB (Consumer Financial Protection Bureau) • Dept. of Education • USAID (U.S. Agency for International Development) • The National Nuclear Security Administration (DOE), despite its conservative leaning (+1 on the scale), is an exception among targeted agencies. • A notable outlier: the Department of Veterans Affairs (moderately conservative) also faced layoffs despite its size. Takeaway: The figure visually demonstrates that DOGE layoffs disproportionately targeted liberal-leaning agencies, supporting claims of ideological bias. The pattern reveals that layoffs were not driven by agency size or budget alone but were strongly associated with perceived ideology. Source: Richardson, Clinton, & Lewis (2018). Elite Perceptions of Agency Ideology and Workforce Skill. The Journal of Politics, 80(1).

The DOGE firings have nothing to do with “efficiency” or “cutting waste.” They’re a direct push to weaken federal agencies perceived as liberal. This was evident from the start, and now the data confirms it: targeted agencies overwhelmingly those seen as more left-leaning. 🧵⬇️

The Carbon Brief Profile: Germany Germany is the nation with both the most renewable power and the highest emissions in Europe.

interactive.carbonbrief.org/the-carbon-b...

Set gràfics que no has vist mai sobre la petjada climàtica dels Països Catalans Les emissions de gasos d'efecte hivernacle continuen creixent: qui en són els responsables als Països Catalans?

www.elcritic.cat/opinio/joan-...

www.nature.com/articles/s44... @katharinehayhoe.com