Tag: computer models

It is time to devalue the software research of climate models

1:29 pm

When the table of contents of the most recent issue of the American Geophysical Union’s (AGU) Geophysical Research Letters was released on August 16, 2023, I could not help noticing it contained a string of papers repeatedly showing that the models used to prove the coming fire of global warming continue to remain untrustworthy and unreliable. All of the following papers indicated biases and uncertainties of both climate models as well as the data they used, and each did so in their titles:

All of these papers considered the models valid for future research, and were instead focused on refining and increasing the accuracy of the models. All however showed once again how little we should trust these models.

What makes the publication of these papers significant is that it was the AGU that published them, even though the AGU has a decidedly biased editorial policy in favor of global warming. Despite the AGU’s insistence that “realistic and continually improving computer simulations of the global climate predict that global temperatures will continue to rise as a result of past and future greenhouse gas emissions,” it still cannot avoid publishing papers that repeatedly disprove that conclusion.
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Computer modelers predict millions will die if China relaxes its zero COVID lockdowns policy

10:45 am

Chicken Little rules again! Scientists, using the same kind of faulty computer models that falsely predicted millions would die in 2020 if we didn’t social distance, wear masks, and shut down all of society (while canceling the Bill of Rights), now predict millions will die in China if that country’s totalitarian communist government relaxes its zero COVID lockdowns policy.

A study based on vaccination rates in March, published in Nature Medicine in May, found that lifting zero-COVID restrictions at that point could “generate a tsunami of COVID-19 cases” over a 6-month period, with 112 million symptomatic cases, 2.7 million intensive care unit (ICU) admissions, and 1.6 million deaths. Peak demand for ICU beds would hit 1 million, more than 15 times the current capacity.

The unvaccinated would account for 77% of the fatalities, according to the authors, primarily at Fudan University. Boosting vaccination rates could slash the toll, but China’s elderly population has remained wary of vaccination. Even today, only 66% of those ages 80 and older have received two doses—versus 90% of the population as a whole—and just 40% have taken boosters.

We of course should trust these scientists without question. How could they possibly be wrong? Bless their hearts. They would never produce junk models simply to promote government overreach and abuse of power.

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A scientist picks apart the COVID-19 models, and finds them wanting

1:14 pm

Link here. What he does is what everyone not involved in writing these models (most of which predicted wholesale disaster if we didn’t impose martial law worldwide) should have done. This quote alone tells us the dishonesty of these models:

More surprisingly perhaps, the Imperial College paper published on March 30 states that ‘Our methods assume that changes in the reproductive number — a measure of transmission — are an immediate response to these interventions being implemented rather than broader gradual changes in behavior’ [emphasis in original]. That is to say: in this study, if the virus transmission slows it is ‘assumed’ that this is due to the lockdown and not (for example) that it would have slowed down any way. [emphasis mine] But surely this is a key point, one that is absolutely vital to understanding our whole situation? I may be missing something, but if you are presenting a paper trying to ascertain if the lockdown works, isn’t it a bit of a push to start with an assumption that lockdown works?

In other words, they shaped their prediction so that a lockdown was required to prevent millions of deaths, ignoring the extensive knowledge scientists have about how viral epidemics routinely die out because of the normal spread of infection throughout the population, depriving the virus new and safe hosts to populate.

Or to put it more bluntly, these models were political documents, not scientific research. They, like all the global warming models (that by the way have never succeeded in predicting anything), were aimed not at illuminating our knowledge but in influencing political action, and in this case the destruction of free societies worldwide.

Some people not only deserve to be fired, some might justifiably be hung for the harm they have caused millions. And I am pointing at both the modelers and the politicians who didn’t do the proper due diligence required, and instead panicked, or decided this was a great opportunity to grab some extra power.

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Global warming scientists admit their models predict too much warming

12:28 pm

The uncertainty of science: This week the global warming community was shaken by a new paper, written by global warming scientists, that admitted that their models for global warming have been predicting too much warming.

Computer modelling used a decade ago to predict how quickly global average temperatures would rise may have forecast too much warming, a study has found.

This look at that story catches some interesting quotes by these same scientists, who only a few years ago were so certain that the climate was overheating that they wanted to dump freedom and democracy.

According to The Times, another of the paper’s authors, Michael Grubb, a professor of international energy and climate change at University College London, admitted his earlier forecasting models had overplayed how temperatures would rise.

At the Paris climate summit in 2015, Professor Grubb said: “All the evidence from the past 15 years leads me to conclude that actually delivering 1.5C is simply incompatible with democracy.” [Emphasis mine]

These same global warming scientists were also so certain of the rightness of their earlier models that they had the nerve to call anyone who questioned them “science deniers” in an effort to smear them as no different then Holocaust deniers. Instead, the skeptics have once again proven to be the correct ones.

But then, skepticism is what built science in the first place, not certainty. Certainty is what leads to bad science, and things far more evil.

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Scientists make guess about origins of Pluto’s nitrogen sea

10:08 am

Garbage in, garbage out: Scientists have written a computer model that supposedly tells them how Pluto’s thick heart-shaped glacier packed ocean of nitrogen and carbon monoxide formed.

[T]o find out how the glaciers formed in the first place, scientists created models that simulated atmospheric circulation on the dwarf planet for the last 50,000 years (a mere 200 orbits around the sun for Pluto). At the beginning of the simulations, the researchers gave Pluto a planet-wide veneer of nitrogen, carbon monoxide, and methane ices a few millimeters thick; then, the planet’s surface and atmosphere evolved as the icy orb passed through orbit after orbit. If Pluto were a completely smooth sphere, it would have either a permanent swath of nitrogen ice at the equator or seasonal snow caps at its poles. But that’s not what the planet looks like today. When researchers added realistic topography to the model, including the 4-kilometer-deep Sputnik Planum and two other large craters, the basin gradually trapped Pluto’s nitrogen, carbon monoxide, and much of its methane, the researchers report online today in Nature.

While the computer model here can help planetary scientists better understand how Pluto might have evolved, to use it to draw any conclusions about Pluto’s geological history is absurd. Scientist have no idea what Pluto was like 50,000 years ago. Heck, we don’t even know what half the planet looks like now.

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Another global warming computer model bites the dust.

9:59 am

The uncertainty of science: Despite predicting ten years ago that the global temperature would rise significantly, actual temperatures have dropped in the ensuing decade.

But don’t worry, these climate scientists really do know what’s going to happen. Just give them lots of money, silence their critics, and they guarantee they will fake the data to make sure their predictions are right!

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The predictions of seventy-three climate models are compared to real data and not one comes even close to reality.

4:21 pm

The predictions of seventy-three climate models are compared to real data and not one comes even close to reality.

Remember: computer modeling is not science research. It does not tell us anything about the actual climate. It is instead theoretical work useful for trying to understand what the data actual is telling us.

Computer modeling, however, is totally useless if it doesn’t successfully mimic that actual data. Since all of these climate models fail to do this, they very clearly show that they do not understand the climate itself, and are not valid theories to explain its processes. If the scientists who created them were honest about these results, they would immediately go back to the drawing board and rewrite these models.

I unfortunately have serious doubts they will do this.

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