Physics is a law. 🌍🔥🙂🤷‍♂️

🌍🔥🔥😯 No place to hide No planet B No time to wait #ClimateActionNow & May the force be with you

Brain scans suggest that high levels of screen exposure may be associated with changes in children’s brain structure and could be linked to stronger ADHD related symptoms. In the United States, children typically spend around four to six hours a day on screens, while teenagers average closer to nine hours. A large long term study involving nearly twelve thousand children, using data from the Adolescent Brain Cognitive Development project, found that higher amounts of recreational screen use, including gaming were connected with measurable differences in brain structure. These differences were also associated with increased ADHD related symptoms and reduced ability to maintain attention over time, suggesting possible effects on developing cognitive pathways. The research also reports that spending more than four hours a day on screens is linked with higher levels of anxiety and depression. Experts note that less physical activity and poorer sleep may help explain these associations. Health guidance from paediatric specialists recommends limiting daily screen time and encouraging outdoor play as well as face to face family interaction to support healthier emotional and cognitive development Study: Adolescent Brain Cognitive Development Study. Screen use and brain development in children: A longitudinal analysis.Translational Psychiatry.

Gute Erklärung von Zeke Hausfather von vor 2 Jahren, warum das “worst case” Emissionsszenario RCP8.5 zum Glück nicht mehr plausibel ist: das ist ein Erfolg der weltweit laufenden Energiewende! Die Emissionskurve flacht sich ab. Sie muss jetzt rasch sinken. theclimatebrink.com/p/emissions-ar…

Every social media platform has the same rule. You can upload anything. You cannot download anything. Your video? Their server. Your photo? Their server. Your audio? Their server. You made it. They own the link. Try to download your own TikTok. Watermark. Try to download a YouTube video offline. Pay $15.99/month. Try to save a Twitter video. Right-click does nothing. Try to download your own Instagram reel. No button. A developer looked at this and said no. One input field. Paste a link. Get the file. Move on. No ads. No trackers. No paywall. No account. No watermark. It's called Cobalt. 35,000+ stars on GitHub. → YouTube. Up to 8K. Any format. → TikTok. Without the watermark. → Instagram. Reels, posts, stories. → Twitter/X. Videos and GIFs. → Reddit. Videos with audio merged. → SoundCloud. Full tracks. → 20+ platforms total. → Audio-only mode. Extract MP3 from any video. → On-device processing. Files never touch their server. → Self-host with Docker. Here's the wildest part: Every "free video downloader" site you have ever used is covered in ads. Popup ads. Fake download buttons. Malware bundled into the download. Cobalt has zero ads. Zero trackers. Zero analytics. The developer refuses to monetize it. One input field. One button. The file appears on your device. 35,000+ stars. AGPL-3.0. Free forever. But DO NOT use Cobalt. We should all keep watching ads and adding watermarks. 100% Open Source.

The rate of warming HAS to slow down in the coming decades. It has to! If it doesn’t, we’re truly fucked. Thankfully, the science suggests that if we ambitiously cut anthropogenic GHG emissions, this should happen. But we’re running out of time; and the more we wait to get to Net Zero, the less certain we are about the system behaving the way we expect it to…

The evidence is in. Social media is harming kids' mental health. JAMA just completed the largest longitudinal meta-analysis ever assembled. 363,000 kids across 153 studies. Up to 22 years of follow-up. The finding? Social media is bad for kids' mental health. Video gaming is not. Samantha Teague's team at James Cook University screened nearly 19,000 papers to get to the 153 that met the bar for longitudinal evidence. They tracked 26 developmental outcomes across ages 2 to 19. Video gaming was associated with higher aggression but better attention and executive function. Social media was associated with behavioral problems, self-injury, lower self-perception, lower academic achievement, and higher substance use. Across every domain measured. The strongest relationship in the meta-analysis: social media use predicted media addiction later. Bigger than the link to depression. Bigger than every other outcome they tracked. The platform's primary product is the addiction. Everything else cascades from there. Pediatricians like Jason Nagata at UCSF now see the same diagnostic profile used to identify substance use disorder showing up in young adolescents. Cravings. Withdrawal. Look at the temporal cut. Effects got more intense in studies conducted after 2012, when smartphones became ubiquitous and platforms shifted to algorithmic feeds and infinite scroll. Same kids. Same screens. The product mechanic changed and the damage scaled. Per-study effect sizes are small. Kate Blocker at Children and Screens does the population math: shifting the mental health score of 50 million teens by 3% means hundreds of thousands of additional kids crossing the threshold into clinical depression or anxiety. In March, juries found Meta and Google liable for intentionally building addictive platforms that cause mental health harms. The product liability framing now has peer-reviewed quantitative backing. Video games end. Feeds don't.

NYU just proved it with numbers that should terrify anyone who cares about human decision making. They analyzed over half a million social media posts and discovered something that changes how you should think about every piece of content you consume: "Outrage has been reverse engineered into a science of manipulation." Every post containing words that trigger anger, disgust, or moral superiority gets 6 times more reach than neutral content. Stack additional outrage triggers into the same post, and virality increases by roughly 20% per word. The platforms figured out that your ancient brain chemistry responds to perceived threats and tribal signaling faster than it responds to anything else, and they built their entire engagement architecture around exploiting that reflex. Think about what that means for information flow in society. The posts that spread fastest are not the most accurate, insightful, or useful. They are the ones most precisely engineered to activate your fight or flight response. Your timeline is being curated by an algos that has learned to simulate the feeling of being under attack, because humans share content when they feel like their worldview or tribe is being threatened. The mathematical precision is what makes this so sinister. Traditional media used outrage as a tool, but social platforms turned it into a formula. Every word choice, every framing device, every emotional trigger gets tested against engagement metrics in real time. The algos doesn't care what the content says. It only cares how fast it spreads, and outrage spreads fastest. This creates a feedback loop that fundamentally warps the information ecosystem. Content creators discover that measured, nuanced takes get buried while inflammatory posts reach millions. The reward system trains everyone to become more extreme, more divisive, more outrageous over time. The platforms profit from the engagement surge. The audience gets more addicted to the emotional highs. Everyone loses except the attention merchants. The really disturbing part is how this exploits evolutionary psychology. Your ancestors survived by quickly identifying threats to their survival or social status. The humans who ignored danger signals died. The ones who overreacted to false alarms lived. Natural selection optimized your brain to err on the side of perceiving threats, especially social threats that could result in exile from the group. Social media platforms discovered they could trigger that same ancient alarm system with words on a screen. Your amygdala cannot tell the difference between a real threat and a carefully crafted post designed to simulate one. It responds with the same stress hormones, the same compulsion to warn others, the same addictive rush of righteous anger. But here's what makes modern outrage engineering different from anything humans have faced before: scale and speed. In a traditional tribe, false alarms eventually got corrected through face to face interaction. Someone spreading panic about a nonexistent threat would be called out directly. The social cost of being wrong acted as a brake on runaway fear cycles. Online, that brake disappears. A manufactured outrage can reach millions before anyone can fact check it. By the time corrections appear, the original false alarm has already shaped opinions, triggered responses, and moved on to the next controversy. The platform algos amplify the correction much less than they amplified the original outrage because corrections generate less engagement. The NYU study reveals something that should fundamentally change how you evaluate information: the posts you see are not a random sample of human thought. They are a carefully filtered selection optimized to make you angry, disgusted, or superior. Your worldview is being shaped by content that survived an engagement filter designed to promote the most emotionally manipulative material. That realization should change how you consume media entirely. Every viral post, trending topic, and recommended video is the product of an optimization system that profits from your emotional reaction. The more outraged you feel, the more engaged you become, the more valuable you are to advertisers. The platforms have turned human outrage into a renewable resource. They figured out how to harvest your anger, refine it, and sell it back to you in increasingly concentrated doses. The addiction cycle never ends because there's always a new target, a new crisis, a new reason to feel threatened or superior. Breaking free requires recognizing the manipulation for what it is: a business model that depends on keeping you in a constant state of emotional arousal. The cure involves deliberately seeking out content that doesn't trigger outrage, following sources that acknowledge complexity instead of manufacturing certainty, and remembering that the posts designed to make you angriest are probably the ones least connected to reality. Your attention is worth more than their engagement metrics.

The number of species threatened with extinction within a couple of decades/centuries is in the millions. This is well understood. Why don't @OurWorldInData say it?

The strongest El Niño in 150 years? That’s not hype, it’s the actual median forecast right now for the developing event later this year. It could rival — or even surpass — the legendary 1877 El Niño, the strongest on record, which was linked to widespread drought, monsoon failure, and global food crises in parts of Asia, Africa, and South America. But what does that mean today? It means a tremendous amount of excess ocean heat being released into the atmosphere - energy that can rearrange weather patterns around the world. That typically leads to: 🌧️ Increased flood risk in some regions 🔥 More intense/ prolonged heatwaves, drought and fires 🌪️ A shift in severe storm tracks 🌀 And often a suppressed Atlantic hurricane season, but boosted in the East Pacific. Since it’s so huge, when the Pacific talks, the atmosphere listens! But this isn’t 1877… forecasting, infrastructure, and global awareness are far better today. We’ll be better prepared. Now transparency on the science: the 1877 3-month Nino 3.4 ocean temp anomaly maxed out at +2.7°C. The latest median forecast for all ensembles in late 2026 is +2.75°C in the Nino 3.4 region. So, it may be stronger. Here’s the caveat: that region is now approx .75 - 1°C warmer than it was in 1855, so some of the heat building up there is on top of a baseline which is already warmer today. So in absolutes… this will probably rival 1877, but relatively speaking due to global warming, the event will likely fall short and thus its global impacts may not rise to that level. That’s why we now have the RONI (index) which accounts for our new warmed World. (Pictured here is the October NMME with a region of +3-4°C over the East Tropical Pacific) Will certainly be interesting to watch from a scientific perspective.

Studie in Brain, Behavior & Immunity (2026): Kinder, deren Mütter während der Schwangerschaft mit SARS-CoV-2 infiziert waren, zeigen mit 2 Jahren messbar schlechtere kognitive und sozial-emotionale Scores und im MRT strukturelle Veränderungen im neonatalen Gehirn (kortikale Graue Substanz, Hippocampus, Weißes Marklager). Über 50% der exponierten Kinder im Risiko-Bereich für Entwicklungsverzögerungen vs. 14% in der präpandemischen Kontrollgruppe. Cave: Kleine Kohorte (N=39) Das Signal ist aber klar genug, um Langzeit-Surveillance dieser Kinder ernst zu nehmen. pmc.ncbi.nlm.nih.gov/articles/PMC12…

Und schon wieder platzt ein Märchen der Katherina #Reiche: Die Systemkosten von Gaskraftwerken waren schon vor dem #Irankrieg dreimal so hoch, wie die von Erneuerbaren samt Batterien #Energiewende duh.de/fileadmin/user…

78,557 tech workers were laid off in the first three months of 2026. Nearly half were replaced by AI. A new paper from the University of Pennsylvania and Boston University just proved that every company doing this is racing toward the same cliff. And knowing the cliff is there will not stop them. The paper is called "The AI Layoff Trap." Here is the trap. Every company that replaces workers with AI saves money. But every worker replaced is also a customer who stops spending. When one company automates, the lost spending hurts every other company in the market. So they automate too. To keep up. To survive. The researchers proved mathematically that this is a Prisoner's Dilemma. Every company is making the individually rational choice. But collectively, they are destroying the consumer demand they all depend on. The paper's words: "Firms automate their way to boundless productivity and zero demand." The smarter the AI gets, the worse the trap becomes. Better AI does not fix the problem. It widens the gap between what companies should do and what they will do. The researchers call this the "Red Queen effect." You automate faster and faster just to stay in the same place. Except the ground beneath you is disappearing. The real numbers are already here. Block cut nearly half its 10,000 employees. CEO Jack Dorsey said AI made those roles unnecessary and predicted "within the next year, the majority of companies will reach the same conclusion." Salesforce replaced 4,000 customer support agents with AI. Over 100,000 tech workers were laid off in 2025 with AI cited as a primary driver in more than half the cases. 80% of American workers hold jobs with tasks that AI can automate. The researchers tested six policy solutions. Universal basic income. Upskilling programs. Worker equity. Capital taxes. Bargaining. None of them fix the trap. Only one policy works: a tax on automation itself. The trap is simple. Every company that fires a worker to save money is also firing a customer. Do it enough times across enough companies, and there is nobody left to buy anything.

Ditch Google Docs, Google Sheets, and Microsoft Office forever. These free open-source alternatives give you full privacy, no surveillance, and real data ownership in 2026: 1. LibreOffice is the complete offline Microsoft Office replacement with full Word, Excel, and PowerPoint compatibility: libreoffice.org 2. OnlyOffice delivers modern real-time collaboration with a clean interface and excellent self-hosting options: onlyoffice.com 3. CryptPad offers end-to-end encrypted collaborative docs, sheets, and whiteboards with zero data collection: cryptpad.org 4. dDocs by Fileverse is a decentralized, E2EE alternative to Google Docs with peer-to-peer real-time editing: ddocs.new 5. dSheets by Fileverse is a privacy-first decentralized spreadsheet built for onchain and private data work: dsheets.new 6. AppFlowy is a powerful local-first, open-source Notion alternative that runs entirely on your device: appflowy.io Alternatives exist, we just have to use them!

Your Android phone is sending data to Google every 4.5 minutes. Even when you're not touching it. Even when the screen is off. A peer-reviewed study from Trinity College Dublin confirmed it. 12 settings to change right now:

Wait until El Niño kicks in!

Weil X meine Tweets, die ich an meine Sammel-🧵 zur Erderwärmung anhänge binnen 24 Stunden meist keinen 100 Account zeigt und meinen allermeisten Followern nie zeigt, teile ich diesen Tweet noch einmal extra. Hoffentlich wird er so gesehen und geteilt. 🙏🏻

@PSHolstein @byte_p Sogar @welt kommt irgendwann drauf 🤭 welt.de/gesundheit/art…

Da es da Unsicherheiten zu geben scheint: Zahlreiche Studien zeigen schwere Herzschäden nach COVID-19-Infektion. Hier 3 Beispiele: Studie 1: 12% der COVID-Patienten mit akutem Herzschaden (erhöhtes Troponin). thelancet.com/journals/lance… Studie 2: 416 COVID-Patienten, 20% mit akutem Herzschaden. „Cardiac injury is a common condition among hospitalized patients with COVID-19“ jamanetwork.com/journals/jamac… Studie 3: 900 US-Krankenhäuser. Myokarditis-Einweisungen um 42,3% höher als präpandemisch. COVID-Patienten: 15,7-fach erhöhtes Myokarditis-Risiko. cdc.gov/mmwr/volumes/7… COVID-19 ist eine kardiovaskuläre Erkrankung. Die Datenlage war von Anfang an deutlich.

Kerninhalt des Gesetzentwurfs 17/6070 von CDU/CSU und FDP: -Verbindlicher Atomausstieg bis 2022 -Sofortige Stilllegung älterer Kraftwerke -Der Ausstieg wird gesetzlich fest verankert, um ihn schwer rückgängig zu machen FunFact: 97% der CDU/CSU stimmten dafür 91% der Grünen

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