The globalists force us to use paper straws as a humiliation tactic
It's a humiliation ritual — and a way of showing us how that we have no desire to resist government overreach
It's a humiliation ritual — and a way of showing us how that we have no desire to resist government overreach
Just a heads up Columbia. Looks like we have another grid emergency event.
The author identifies that the closing of the Indian Point nuclear plant in 2020-21 directly led to NYC's power issues.
But in Paris, legal disputes due to noise are stopping the vulnerable from installing A/C.
Every cow on Earth is part of a closed CO₂ loop.
Herbivores don’t create new carbon. They’re effectively CO₂ neutral. Cattle are nature’s great grazers — bulk feeders turning roughage into protein while keeping grasslands healthy. Without them, vast areas would atrophy into lifeless, nutrient-poor topsoil.
The carbon a cow emits today was pulled from the air by the grass it ate just months earlier. It’s a rolling ledger: no net addition to the global system.
Through photosynthesis, plants turn atmospheric CO₂ into carbohydrates. Cattle eat the grass, digest it, and return that same carbon to the atmosphere as CO₂ and CH₄. Nothing extra destabilises the system.
Within roughly a decade, that methane oxidises back into CO₂ — ready for the next season’s grass to breathe in again.
Cattle aren’t a new source of greenhouse gases. They’re recyclers in the biogenic carbon cycle.
source: https://x.com/PeterDClack/status/2073703917796700264
For context, Miralles & Davison are statisticians with expertise in probability, extreme value theory, and spatial statistics, not climate modelers.....
Most attribution literature says, given this event, how much did climate change change its probability?
Miralles & Davison instead ask, what happens to statistical inference when the event itself is what triggers the study? They argue that many studies effectively assume, this event was extreme enough that it gets selected for analysis.
They show that if you include the record event when fitting statistical distributions, this can distort estimates of how rare or extreme events are. If you exclude it, you also distort the estimates in a different way. So neither approach is fully correct on its own (either way)
This is a strong claim because it suggests that standard extreme value methods are not neutral when they are applied after the event has already occurred...i.e. POST-EVENT.
Their Conclusion from the paper...
Existing work on overcoming timing or spatial selection bias in extreme-value statistics has implications for return-level-based extreme event attribution analysis. Indeed, when such a bias exists, not taking it into account in the event attribution can lead to poor, unstable, return level estimates, seriously biased estimates of return periods for extreme observations, and hence to potentially misleading conclusions. Conditioning of the likelihood term uses contextual information more appropriately and hence leads to more reliable findings.
I honestly could say so much about this from so many different angles...so I won't even try...
You read the headline correctly. To some people, those two facts seem contradictory. But I think they point toward a better path forward.
The “individual carbon footprint” became popular after a public relations campaign paid for by the oil industry helped deflect attention from institutional polluters onto us, as consumers.
We’re overdue for a Climate Activism 2.0. This begins with a simple premise: meet people where they are. Americans have different lifestyles, values, occupations, and economic realities.
My truck illustrates the point. Like millions of Americans, I needed a dependable vehicle that fit my family’s needs. I would have considered an electric truck, but affordability remains a major obstacle. That’s not an individual failure. It’s a policy and market failure. If climate-friendly choices aren’t practical or affordable, no amount of personal virtue can solve the problem.
Once again showing the wild disparity between built up areas and rural/forested regions.
Source; Copernicus
Deputy Mayor Audrey Pulvar, in a long post on Instagram, blasted the influencers who have been criticizing the country for not having sufficient air conditioning, saying they don't seem to grasp that those cooling devices are part of the reason temperatures are escalating globally.
"Dear American journalists and social media 'influencers': for days, some of you have been criticizing and making fun of Paris because the city does not have A/C in every room. OMG, this is so rich!" she wrote.
"As the second-largest emitter of greenhouse gas emissions in the world, you bear a significant amount of responsibility for global warming and the consequences we, in France, are experiencing. Your cities '90% air-conditioned' are not unrelated to this. In Paris, we take responsibility."
I built a small free side project to make climate data easier to understand:
It’s a simple climate league table where people can search companies, countries and sectors, then see the impact in everyday terms.
It also shows tracked assets/facilities behind the rankings and, where available, money/ownership links so people can see who is connected to high-emission activity.
No ads, no signup. Built for education, awareness and feedback, not commercial promotion.
Would appreciate thoughts on the clarity, data presentation and whether it makes climate impact easier to understand for normal people.
PS: Paid 7 bucks for the domain, totally worth it!