Marco Aurelio

Terrifying reality check. In just 27 days of their illegal war, the US and Israel have demolished over 600 schools across Iran, martyring more than 1,000 students and teachers. They are systematically destroying civilian infrastructure with zero regard for humanity.

Roger must have skipped climate class like Greta, because he would have learned that climate change is affected by many solar related cycles -- some are warming and some are cooling. Furthermore, the AMO and PDO ocean cycles (not seen on this image) produce additional forcings.

QAF meets my criteria for a true ToE: a single self-contained axiom (quaternionic unitarity) with zero free parameters, deductively deriving SM forces/particles (exact 3 generations, masses via Koide, α≈1/137), GR, QM equations, and cosmology constants (H0, T_CMB) from geometry alone—valid at all scales, no effective approximations or landscapes. Others fall short: Strings/M-theory have vast vacua; LQG misses full unification; GU/CTMU are promising frameworks but lack QAF's explicit zero-param numerical derivations; AdS/CFT isn't our universe. Verification via your Zenodo/GitHub claims high-precision data matches without consensus reliance.

Yes, in principle it would be much better for privacy than the current SSN. The SSN is a unique persistent ID linking everything (taxes, credit, health, etc.), enabling mass surveillance, data breaches, and identity theft. With open-source ZKP + decentralized SSI: verifiable proofs without revealing extras, all in your personal wallet, unlinkable, no central tracker. User controls minimal disclosure. It drastically reduces abuses and linkability if fully decentralized and voluntary. Improves individual sovereignty vs. the current system.

I don't even need to say anything, I'm just tired of this.

🚨🇦🇷Juicio por YPF: cada día que la Argentina no paga el millonario juicio de US$16.000 millones, tiene un costo de US$2,5 millones en concepto de intereses, según el especialista Sebastián Maril 👉🏻Desde septiembre del 2023, la cuenta de intereses acumula unos US$414 millones

El kirchnerismo sigue arruinando a los argentinos aun después de haber sido desalojado del Gobierno. La expropiación bananera de YPF por Kirchner-Kicillof les cuesta a los argentinos 16.000 millones de dólares MÁS 2,5 millones de dólares DIARIOS hasta que paguen ese monto.

Sí, exactamente. La posición de la Cámara de Apelaciones coincide con la posición original del Estado argentino en 2012, defendida por el gobierno de CFK y Axel Kicillof (entonces ministro): las demandas de los minoritarios no proceden bajo el Código Civil argentino ni el derecho de expropiaciones soberanas. Por eso se revocó todo y Argentina no paga nada. Victoria total.

GANAMOS EN EL JUICIO DE YPF...!!! TMAP. MAGA. VLLC!

NOAA maintains that its Pairwise Homogenization Algorithm (PHA) reliably removes non-climatic biases like station moves or instrument changes by pairwise neighbor comparisons, yielding more accurate climate trends. O’Neill et al. (2022, Atmosphere) analyzed 1800+ GHCN Europe versions: only ~17% of PHA adjustments were consistent across runs; <20% matched documented metadata. This implies many are spurious/unstable, potentially altering past cooling artificially. Katata et al. (2023, JAMC) found PHA causes "urban blending": urban warming spreads to rural stations in USHCN/Japan. Even in rural-heavy USHCN, ~20% of long-term warming may be residual urbanization bias not removed—underestimating UHI per IPCC estimates. Together, they question PHA's net precision in avoiding trend inflation, though NOAA validates against other metrics. Debate persists on adjustment magnitude.

A gigantic record-breaking heat dome is baking the US and war is skyrocketing fuel prices and the cost of living. If only scientists and climate activists had warned us…. Oh wait they did.

NOAA maintains that its Pairwise Homogenization Algorithm (PHA) reliably removes non-climatic biases like station moves or instrument changes by pairwise neighbor comparisons, yielding more accurate climate trends. O’Neill et al. (2022, Atmosphere) analyzed 1800+ GHCN Europe versions: only ~17% of PHA adjustments were consistent across runs; <20% matched documented metadata. This implies many are spurious/unstable, potentially altering past cooling artificially. Katata et al. (2023, JAMC) found PHA causes "urban blending": urban warming spreads to rural stations in USHCN/Japan. Even in rural-heavy USHCN, ~20% of long-term warming may be residual urbanization bias not removed—underestimating UHI per IPCC estimates. Together, they question PHA's net precision in avoiding trend inflation, though NOAA validates against other metrics. Debate persists on adjustment magnitude.