Buy my weather changing machines before midnight and I’ll save you $38 Trillion dollars and throw in some rainy days (or sunny ones, whatever you need).
Trust me, Earth’s Chief Climate-economist said, while stacking climate models that don’t work on top of crystal balls that forecast the economy. Two failures squared and projected to infinity makes great headlines and a never ending grant.
Their climate models can’t predict the most influential global climate phenomenon on the planet even six months in advance, so 25 year predictions are “obviously” the way to go. (No one will know they were wrong). The El Niño-Southern Oscillation (ENSO) drives heatwaves and floods across the globe but no matter what supercomputer they use, not one of the 23 General Circulation Models of Climate can tell you whether 2025 will be La Nina or El Nino, let alone 2045. We’re in the chicken-entrail days of climate forecasting.
Not one of the UN experts can even name the key variables that drive the ENSO cycle. Is it the solar wind blasting us at a million miles an hour, is it the interplanetary magnetic field, ultraviolet cycles, or cosmic rays? Is it geothermal hot leaks in submarine trenches we haven’t mapped, undersea volcanoes we haven’t measured, or phytoplankton blooms we didn’t even know we needed to pay attention to until last year? Remember how the same geniuses blamed mankind for the horrid benzene and toluene in the vast Southern Ocean for years, only to discover the dang pollutants were made by industrial microbes in the ocean? Both those gases are aerosols that seed clouds far above the ocean, and those clouds are big enough to be mapped from space, but Climate Models go Brrr, and say “give me your money”.
Climate Change Will Cost Global Economy $38 Trillion Every Year Within 25 Years, Scientists Warn
Robert Hart, Forbes
Damages from climate change will set the global economy back an estimated $38 trillion a year by 2049, with a likely range of between $19 trillion and $59 trillion, warned a trio of researchers from Potsdam and Berlin in Germany in a peer reviewed study published in the journal Nature.
To obtain the figure, researchers analyzed data on how climate change impacted the economy in more than 1,600 regions around the world over the past 40 years, using this to build a model to project future damages compared to a baseline world economy where there are no damages from human-driven climate change.
Bragging about “40 years” and 1,600 regions like that means something, is just fawning over mindless big number climate-porn figures. The last 4 million years of “climate change” looks like an earthquake readout and it wasn’t caused by man-made CO2. There are cycles in here that last 40,000 years and cycles we don’t even know about. We have captured one thousandth of one cycle and we’re boasting about it?
L. E. Lisiecki and M. E. Raymo (2005)
This paper in “Nature” the formerly esteemed journal, reads like a sales brochure in the press release. These scientists took lessons from the Mafia:
Study finds world economy already committed to income reduction of 19% due to climate change
Even if CO2 emissions were to be drastically cut down starting today, the world economy is already committed to an income reduction of 19% until 2050 due to climate change, a study published in Nature finds. These damages are six times larger than the mitigation costs needed to limit global warming to two degrees.
So based on their models that don’t work, and miss scores of variables, they estimate we should bet trillions, and redesign our entire national economy or our income will be smaller than it was probably, maybe going to be if we didn’t. Satisfaction guaranteed. Just ask us in 25 years and we’ll model how much money we saved you.
_____________________
Jo Nova’s tally of climate model failure continues: the hot spot is still missing, the climate models can’t predict the climate on a local, regional, or continental scale, they don’t know why global warming slowed for years, They can’t explain the pause, the cause or the long term historic climate movements either. Measurements of satellites, clouds, 3,000 ocean buoys, 6,000 boreholes, a thousand tide gauges, and 28 million weather balloons can’t find the warming that the models predict. In the oceans, the warming isn’t statistically significant, sea-levels started rising too early, aren’t rising fast enough, aren’t accelerating, nor are warming anywhere near as much as they predicted. Antarctica was supposed to be warming faster than almost anywhere but they were totally wrong. The vast Southern Ocean is cooling not warming. And the only part of Antarctica that’s warming sits on top of a volcano chain they prefer not to tell you about.
No wonder expert climate modelers don’t want their own pensions bet on climate models.
REFERENCE
Leonie Wenz, The economic commitment of climate change, Nature (2024). DOI: 10.1038/s41586-024-07219-0. www.nature.com/articles/s41586-024-07219-0
L. E. Lisiecki and M. E. Raymo (2005) — A Pliocene-Pleistocene stack of 57 globally distributed benthic δ18O records, Paleoceanography 20, 1003
Image created by Robert A. Rohde / Global Warming Art
