DOJ Sues Against Minnesota’s Climate Lawsuit

Climate Change Dispatch reports DOJ Sues Minnesota Over State Climate Lawsuit Targeting Energy Companies.  Excerpts in italics with my bolds and added images.

Justice Department argues the state case oversteps federal authority,
seeks to reshape national energy policy.

The complaint, filed Monday, May 4, in the U.S. District Court for the District of Minnesota, accuses state officials of trying to impose their own climate policies on domestic energy producers in a way the DOJ says burdens national energy development and intrudes on federal authority.

The underlying lawsuit was filed in 2020 by Minnesota Attorney General Keith Ellison against Exxon Mobil, the American Petroleum Institute, Koch Industries, and Koch subsidiary Flint Hills Resources.

Minnesota brought the case under state consumer-protection laws, alleging that the companies engaged in fraud and deceptive business practices by misleading the public about “climate change and the role of fossil-fuel products in climate change.”

That lawsuit remains pending after years of procedural fights over whether it belongs in state or federal court.

Minnesota succeeded in keeping the case in state court in 2024, after the U.S. Supreme Court declined to review a lower-court ruling allowing the lawsuit to proceed there.

In its new complaint, the DOJ argues that authority over national energy policy
and major questions involving greenhouse gas emissions rests
with the federal government, not individual states.

The department is asking the court to block Minnesota from pursuing the 2020 lawsuit and prevent the state from bringing similar litigation in the future.

“Climate change lawsuits, like Minnesota’s, artfully plead around federal law while transparently seeking to change national energy policy related to global greenhouse gas emissions and to regulate conduct beyond local borders,” the complaint states.

The federal government’s move to counter climate litigation with its own lawsuit follows an executive order issued last year by President Donald Trump, who directed the DOJ to “take all appropriate action to stop” state lawsuits seeking to “dictate national energy policy.”

Associate Attorney General Stanley Woodward said in a statement:

“President Trump promised to unleash American energy dominance, and Minnesota officials cannot undermine his directive by mandating that their woke climate preferences become the uniform policy of our Nation,”

“Imagine an argument so airtight about science so settled
over technology so reliable that you have to use censorship
to make sure nobody gives a dissenting opinion.”  @ProctorZ

US to Partner Belgian Nuclear Power Revival

BREAKING: U.S. Unleashes $10 Billion Nuclear Shockwave To Revive Belgium’s Energy!

Mackenzie Web reports on an announcement in Belgian news site La Libre “The United States wants to help Belgium restart its nuclear power plants, Donald Trump is fully behind the project” (translation) Excerpts in italics with my bolds and added images.

In a bold revelation, U.S. Ambassador to Belgium Bill White announced a game-changing investment plan that shifts the energy landscape of Europe. America is prepared to finance up to 50 percent of new nuclear reactor construction in Belgium, potentially injecting $10 billion into this initiative. His remarks, delivered to the Belgian newspaper La Libre, signal a renewed focus on nuclear energy as a reliable power source. White, clearly aligned with Trump’s energy strategy, stated,

“Washington is all-in on helping Belgium reverse decades of suicidal green phase-out madness.”

Several MEPs (mainly Greens) hold up anti-nuclear posters at EU debate.

This renewed commitment comes at a pivotal time for Belgium as it seeks to reclaim its energy independence. The country’s new right-leaning government, led by Prime Minister Bart De Wever, is actively nationalizing its nuclear fleet and abandoning plans to decommission existing reactors. No longer willing to rely on inconsistent renewable energy sources, Belgium is stepping back into its nuclear past, which had been shunned during years of leftist climate policies prioritizing wind and solar over proven energy sources. As White puts it, the reality of energy security is finally sinking in.

American companies Westinghouse and GE Vernova are set to lead the charge in this nuclear renaissance. Westinghouse’s AP1000 reactor, equipped with advanced passive safety features, promises a safer, more efficient alternative to outdated technologies previously favored in Europe. With an impressive capability for 72 hours of blackout protection, this reactor is already in operation in the U.S. and China, demonstrating its reliability. Similarly, GE Vernova’s BWRX-300 small modular reactor boasts rapid deployment capabilities, making it a perfect fit for Belgium’s urgent energy needs.

BWRX-300 Small Modular Reactor | GE Vernova Hitachi

The significance of this investment stretches beyond economics; it also reinforces America’s longstanding alliance with Belgium. White highlighted that this initiative harkens back to an 80-year partnership where the Belgian Congo’s uranium was pivotal in America’s atomic endeavors during World War II. The contribution of Belgian resources in winning past conflicts illustrates the strategic bonds between the two nations, and today’s nuclear cooperation continues that legacy. As White emphasizes, this is not merely a financial deal—it is a calculated move toward mutual security, ensuring that European nations can break away from fluctuating foreign energy supplies.

Moreover, this initiative marks a decisive pivot from recent energy decisions that left European nations vulnerable. The reliance on Russian and Middle Eastern sources has proven costly and unstable, especially amid geopolitical tensions. White asserts that under this new agreement, Belgium can expect “no more blackouts” and “no more skyrocketing bills,” fundamentally changing the energy conversation in Europe. With the U.S. stepping up to fill this critical void, the interests of American energy innovation directly align with the needs of a nation seeking stability.

In summation, this announcement is a shot across the bow to proponents of renewable energy who have long championed policies ignoring the realities of energy demand and practicality. The message is clear: America is not just offering financial assistance; it is providing a framework for a robust nuclear future. While globalists may resist this trend, the power of American engineering and technology is poised to reshape Belgium’s energy landscape, ensuring real leadership is showcased on the world stage. The green dream is receding, while the nuclear renaissance emerges, casting doubt on the feasibility of relying solely on renewables.

How Past EPA Funded Activists, Wasteful Green Schemes

Bradley Jaye explains the news in Climate Change Dispatch article EPA Head Details How Tax Dollars Funded Activists, Wasteful Green Schemes.  Excerpts in italics with my bolds and added images.

Zeldin explains how EPA grants cycled through multiple groups,
each taking a cut, before funding more activist groups.

Environmental Protection Agency (EPA) Administrator Lee Zeldin revealed how federal dollars spent on “environmental justice” often perpetuate a wasteful yet lucrative cycle of environmental activism. [some emphasis, links added]

Zeldin explained on The Alex Marlow Show how his agency has stopped the scamming by slashing wasteful spending, creating savings far beyond the EPA’s annual budget.

“It’s the principle that there needs to be a zero tolerance policy for any waste and abuse,” Zeldin told host Alex Marlow. “It’s also the principle of being able to do more with less, and we proved over the course of our first 15 months here that we can achieve extraordinary savings here at the agency.”

EPA’s annual operating budget at the time of Zeldin’s arrival was “about $10 billion,” yet he said, “Over the first year that I was in this position, we saved $30 billion.”

“In 2024, this agency obligated and spent over $60 billion, and we were able to cancel grants and contracts. We did real estate consolidation [and] staff efficiencies with an agency-wide reorganization,” he explained. “We closed an EPA museum that nobody knew about or almost no one even visited.”

Zeldin pointed to an exchange with Senator Sheldon Whitehouse (D-RI) in a congressional hearing regarding wasteful solar grants that the self-proclaimed climate change champion supported.

“We had examples where the grant was going through up to four different pass-throughs, where each pass-through entity was getting at least 15% to administer their part of the pass-through,” Zeldin said. “I mean, a lot of this is just inexcusable.”

“The money that gets appropriated in the name of environmental justice to remediate an environmental issue, but then the dollar goes to an activist group to train other activist groups to come to D.C. and advocate for the next dollar to go to them to go out and be activists, like, wait, I thought we were spending this dollar to remediate an environmental issue,” he explained further.

“So yeah, it’s about doing more with less, and we have found extraordinary ways to save the taxpayers tens of billions of dollars.”

See Also

How Wasteful is Green Energy? Count the Ways

 

 

UN Climate Panel Quietly Admits Its Doomsday Climate Scenarios Were ‘Implausible’

Tyler Durden writes at ZeroHedge UN Climate Panel Quietly Admits Its Doomsday Climate Scenarios Were ‘Implausible‘. excerpts in italics with my bolds and added images.

The IPCC has published a new generation of climate scenarios – and buried in the fine print is a remarkable concession: the extreme warming pathways that dominated climate research, policy, and media coverage for decades were never actually plausible. It took a while to notice because almost no one in mainstream media bothered to report it.  Science policy analyst Roger Pielke Jr. wrote,

“The Intergovernmental Panel on Climate Change (IPCC) has just published the next generation of climate scenarios,” calling it “big news” that “eliminated the most extreme scenarios that have dominated climate research over much of the past several decades.” 

The conclusion was unambiguous. “The IPCC and broader research community has now admitted that the scenarios that have dominated climate research, assessment and policy during the past two cycles of the IPCC assessment process are implausible. They describe impossible futures.”

Those “impossible futures” formed the backbone of a decade-plus of apocalyptic climate messaging – melting ice caps, submerged coastlines, mass extinctions, widespread crop failures, and global hunger, always around the corner, always demanding immediate, economy-reshaping action to avert a catastrophe that, it now turns out, the underlying science community had assigned to a category closer to science fiction than projection.

The new IPCC framework formally demotes its remaining “HIGH scenario” from expected outcome to “exploratory – a thought experiment, not a projection.” [SSP5-85]

That’s a significant institutional retreat. 

Pielke noted that the previous framework lacked “any systematic effort to evaluate plausibility of scenarios,” meaning the scariest pathways were able to dominate the policy debate for years without anyone in the room applying a basic reality check.

What matters today is that the group with official responsibility for developing climate scenarios for the IPCC and broader research community has now admitted that the scenarios that have dominated climate research, assessment and policy during the past two cycles of the IPCC assessment process are implausible. They describe impossible futures.

Curiously, the revised framework was technically adopted back in 2021, but has only now filtered into public view as related technical and institutional changes caught up. And it’s fair to ask why. The policy consequences of those “impossible futures” were very real.

As the Daily Sceptic’s Chris Morrison opines

It cannot be over-emphasised how important this finding of implausibility is. It means that almost every fearmongering mainstream media climate headline and story that has been written over the last 15 years is junk. Of course it also explains why a growing band of sceptical commentators have refused to accept the political concept of ‘settled’ science and have engaged in widespread debunking. Shooting fish in a barrel is one way of describing this work. At times, with just a modicum of investigative scepticism, the stories can be seen as little more than an insult to average human intelligence.

When the RCP8.5 assumptions are loaded into computer models, they run politically-convenient red hot suggestions that the temperature in 2100 will rise by about 4°C from a 1850-1900 baseline – in other words, a rise of nearly 3°C in the next 80 years. Only the most deranged eco loons will claim such large short-term rises out loud, so the activist scientists quietly loaded garbage assumptions into their computers to arrive at their garbage-out Armageddon scares. The writing was on the wall for RCP8.5 last year when President Trump’s executive order titled ‘Restoring Gold Standard Science’ effectively banned the use of RCP8.5 for scientists on the United States federal payroll. It also noted one of the unrealistic RCP8.5 assumptions driving deliberate climate psychosis to be that end-of-century coal use will exceed estimates of recoverable reserves.

At the time, the climate researcher Zeke Hausfather dismissed the Trump Administration’s claims about RCP8.5 by stating that the research community had moved on. But Pielke has taken issue with this ‘nothing to see here’ claim. He states that from 2018 to 2021, Google Scholar reported 17,000 articles published using RCP8.5 compared with 16,900 in the next three year period. “Some shift,” he observed.

Again, those using less charitable words might note that the ultimate climate crackpipe has proved difficult to put down. A long and painful process of rehabilitation now seems likely.

UAH April 2026 Land Chills More Than Ocean Warms

The post below updates the UAH record of air temperatures over land and ocean. Each month and year exposes again the growing disconnect between the real world and the Zero Carbon zealots.  It is as though the anti-hydrocarbon band wagon hopes to drown out the data contradicting their justification for the Great Energy Transition.  Yes, there was warming from an El Nino buildup coincidental with North Atlantic warming, but no basis to blame it on CO2.

As an overview consider how recent rapid cooling  completely overcame the warming from the last 3 El Ninos (1998, 2010 and 2016).  The UAH record shows that the effects of the last one were gone as of April 2021, again in November 2021, and in February and June 2022  At year end 2022 and continuing into 2023 global temp anomaly matched or went lower than average since 1995, an ENSO neutral year. (UAH baseline is now 1991-2020). Then there was an usual El Nino warming spike of uncertain cause, unrelated to steadily rising CO2, and now dropping steadily back toward normal values.

For reference I added an overlay of CO2 annual concentrations as measured at Mauna Loa.  While temperatures fluctuated up and down ending flat, CO2 went up steadily by ~66 ppm, an 18% increase.

Furthermore, going back to previous warmings prior to the satellite record shows that the entire rise of 0.8C since 1947 is due to oceanic, not human activity.

gmt-warming-events

The animation is an update of a previous analysis from Dr. Murry Salby.  These graphs use Hadcrut4 and include the 2016 El Nino warming event.  The exhibit shows since 1947 GMT warmed by 0.8 C, from 13.9 to 14.7, as estimated by Hadcrut4.  This resulted from three natural warming events involving ocean cycles. The most recent rise 2013-16 lifted temperatures by 0.2C.  Previously the 1997-98 El Nino produced a plateau increase of 0.4C.  Before that, a rise from 1977-81 added 0.2C to start the warming since 1947.

Importantly, the theory of human-caused global warming asserts that increasing CO2 in the atmosphere changes the baseline and causes systemic warming in our climate.  On the contrary, all of the warming since 1947 was episodic, coming from three brief events associated with oceanic cycles. And in 2024 we saw an amazing episode with a temperature spike driven by ocean air warming in all regions, along with rising NH land temperatures, now dropping well below its peak.

Chris Schoeneveld has produced a similar graph to the animation above, with a temperature series combining HadCRUT4 and UAH6. H/T WUWT

image-8

See Also Worst Threat: Greenhouse Gas or Quiet Sun?

April 2026 UAH Temps: Land Cools More Than Ocean Warmsbanner-blog

With apologies to Paul Revere, this post is on the lookout for cooler weather with an eye on both the Land and the Sea.  While you heard a lot about 2020-21 temperatures matching 2016 as the highest ever, that spin ignores how fast the cooling set in.  The UAH data analyzed below shows that warming from the last El Nino had fully dissipated with chilly temperatures in all regions. After a warming blip in 2022, land and ocean temps dropped again with 2023 starting below the mean since 1995.  Spring and Summer 2023 saw a series of warmings, continuing into 2024 peaking in April, then cooling off to the present.

UAH has updated their TLT (temperatures in lower troposphere) dataset for April 2026. Due to one satellite drifting more than can be corrected, the dataset has been recalibrated and retitled as version 6.1 Graphs here contain this updated 6.1 data.  Posts on their reading of ocean air temps this month are ahead the update from HadSST4.  I posted recently on March 2026 Mild Warming SSTs Continue. These posts have a separate graph of land air temps because the comparisons and contrasts are interesting as we contemplate possible cooling in coming months and years.

Sometimes air temps over land diverge from ocean air changes. 2025 showed a sharp contrast between land and sea, first with ocean air temps falling in January recovering in February.  Then in November and December SH land temps spiked while ocean temps showed litle change. In February 2026 NH land temps doubled, from Dec. 0.53C up to 1.14C last month.  Despite SH land changing little, and Tropical land cooling, the Global land anomaly jumped up from 0.53 to 0.93C.  That reversed in March with both NH land and Global land anomaly back down to 0.63C. That cooling offset SH Ocean warming doubling from 0.19C to 0.38C. Now in April NH land has cooled further down to 0.51C while NH ocean warmed slightly.  SH air temps went oppositely: SH land wamed slightly while SH ocean dropped from 0.38C to 0.27C.  Note that in the first 4 months of 2026 the Global land and ocean air temps have hardly varied from 0.38C.

Note:  UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021.   v6.1 data was recalibrated also starting with 2021. In the charts below, the trends and fluctuations remain the same but the anomaly values changed with the baseline reference shift.

Presently sea surface temperatures (SST) are the best available indicator of heat content gained or lost from earth’s climate system.  Enthalpy is the thermodynamic term for total heat content in a system, and humidity differences in air parcels affect enthalpy.  Measuring water temperature directly avoids distorted impressions from air measurements.  In addition, ocean covers 71% of the planet surface and thus dominates surface temperature estimates.  Eventually we will likely have reliable means of recording water temperatures at depth.

Recently, Dr. Ole Humlum reported from his research that air temperatures lag 2-3 months behind changes in SST.  Thus cooling oceans portend cooling land air temperatures to follow.  He also observed that changes in CO2 atmospheric concentrations lag behind SST by 11-12 months.  This latter point is addressed in a previous post Who to Blame for Rising CO2?

After a change in priorities, updates are now exclusive to HadSST4.  For comparison we can also look at lower troposphere temperatures (TLT) from UAHv6.1 which are now posted for April 2026.  The temperature record is derived from microwave sounding units (MSU) on board satellites like the one pictured above. Recently there was a change in UAH processing of satellite drift corrections, including dropping one platform which can no longer be corrected. The graphs below are taken from the revised and current dataset.

The UAH dataset includes temperature results for air above the oceans, and thus should be most comparable to the SSTs. There is the additional feature that ocean air temps avoid Urban Heat Islands (UHI).  The graph below shows monthly anomalies for ocean air temps since January 2015.

After sharp cooling everywhere in January 2023, there was a remarkable spiking of Tropical ocean temps from -0.5C up to + 1.2C in January 2024.  The rise was matched by other regions in 2024, such that the Global anomaly peaked at 0.86C in April. Since then all regions have cooled down sharply to a low of 0.27C in January.  In February 2025, SH rose from 0.1C to 0.4C pulling the Global ocean air anomaly up to 0.47C, where it stayed in March and April. In May drops in NH and Tropics pulled the air temps over oceans down despite an uptick in SH. At 0.43C, ocean air temps were similar to May 2020, albeit with higher SH anomalies. In November/December all regions were cooler, led by a sharp drop in SH bringing the Global ocean anomaly down to 0.02C. In 2026, ocean warming is evident, but now SH cooling offset NH and Tropical warming.

Land Air Temperatures Tracking in Seesaw Pattern

We sometimes overlook that in climate temperature records, while the oceans are measured directly with SSTs, land temps are measured only indirectly.  The land temperature records at surface stations sample air temps at 2 meters above ground.  UAH gives tlt anomalies for air over land separately from ocean air temps.  The graph updated for March is below.

Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land.  The seesaw pattern in Land temps is similar to ocean temps 2021-22, except that SH is the outlier, hitting bottom in January 2023. Then exceptionally SH goes from -0.6C up to 1.4C in September 2023 and 1.8C in  August 2024, with a large drop in between.  In November, SH and the Tropics pulled the Global Land anomaly further down despite a bump in NH land temps. February showed a sharp drop in NH land air temps from 1.07C down to 0.56C, pulling the Global land anomaly downward from 0.9C to 0.6C. Some ups and downs followed with returns close to February values in August.  A remarkable spike in October was completely reversed in November/December, along with NH dropping sharply bringing the Global Land anomaly down to 0.52C, half of its peak value of 1.17C 09/2024. In 2026 January and February Global land rebounded up to 1.14C, led by a NH warming spike. That NH spike was reversed in March and April back down to 0.43C and the Global land anomaly pulled back down despits some SH and Tropical land warming.

The Bigger Picture UAH Global Since 1980

 

The chart shows monthly Global Land and Ocean anomalies starting 01/1980 to present.  The average monthly anomaly is -0.02 for this period of more than four decades.  The graph shows the 1998 El Nino after which the mean resumed, and again after the smaller 2010 event. The 2016 El Nino matched 1998 peak and in addition NH after effects lasted longer, followed by the NH warming 2019-20.   An upward bump in 2021 was reversed with temps having returned close to the mean as of 2/2022.  March and April brought warmer Global temps, later reversed

With the sharp drops in Nov., Dec. and January 2023 temps, there was no increase over 1980. Then in 2023 the buildup to the October/November peak exceeded the sharp April peak of the El Nino 1998 event. It also surpassed the February peak in 2016. In 2024 March and April took the Global anomaly to a new peak of 0.94C.  The cool down started with May dropping to 0.9C, later months declined steadily until  August Global Land and Ocean was down to 0.39C. then rose slightly to 0.53 in October, before dropping to 0.3C in December, and slightly higher since, now at 0.39C in  2026.

The graph reminds of another chart showing the abrupt ejection of humid air from Hunga Tonga eruption.

TLTs include mixing above the oceans and probably some influence from nearby more volatile land temps.  Clearly NH and Global land temps have been dropping in a seesaw pattern, nearly 1C lower than the 2016 peak.  Since the ocean has 1000 times the heat capacity as the atmosphere, that cooling is a significant driving force.  TLT measures started the recent cooling later than SSTs from HadSST4, but are now showing the same pattern. Despite the three El Ninos, their warming had not persisted prior to 2023, and without them it would probably have cooled since 1995.  Of course, the future has not yet been written.

Free Climate Infographics at World of CO2 2026 Update

Many of my posts include some high quality infographics produced by a colleague, Raymond Inauen of RIC-Communications.  In 2024 because of other pressing time demands, Raymond discontinued the website he set up to host the infographics.  This post is to announce that he has now reactivated the  website up for the public to access a series of infographics regarding CO2 and climate science.

The Website content is:

The World of CO2

 

Readers will be aware of previous posts on the four themes to be discovered.  Raymond introduces this resource in this way:

WELCO₂ME

Would you like to learn more about CO₂ so you can have informed conversations about climate policy and future energy investments? Or would you rather pass judgment on CO₂ after learning about the basics? Then this is the website for you.

There are 29 infographic images that can be downloaded in four PDF files.  Thanks again, Raymond for your interest and efforts to make essential scientific information available to one and all. PDF links are in red.

There are 29 infographic images that can be downloaded in four PDF files. Thanks again, Raymond for your interest and efforts to make essential scientific information available to one and all. PDF links are in red.

World of CO2: CO2 charts

Example (#8 of 14)

 

World of CO2: Climate Change Charts

Example (#5 of 6)

 World of CO2: The World of Energy Charts

Example (#7 of 7)

World of CO2: World of Ice Ages Charts

Example (#1 of 2)

The World of CO2 home page is:

The World of CO2

At that website the high resolution infographic PDFs can be downloaded at no charge with no restrictions on use. There are also informative videos and FAQ pages, as well as links to contact with questions, comments or additional suggestions. There is also a link to support this work if you are so inclined.

What Coal Did Today

Frank Clemente and Fred Palmer remind us how essential is coal power with their Real Clear Energy article What Coal Did Today.  Text is below with my bolds and added images.

Coal has been the material foundation of industrialization, urbanization, modernization and technological development for more than two centuries. The examples are endless. It was coal that propelled the Industrial Revolution in England that spread throughout the world. It was coal that provided the electrification of virtually every society.

Progress of civilization through changing mixes of energy sources.

Coal was the foundational fuel for the electrification of the Tennessee Valley Authority and brought myriad associated benefits to the cities, towns and farms across the entire American landscape. It was coal that powered the Transcontinental Railroad and the steamships that traversed every ocean. Coal produced the steel that enabled the skyscrapers, bridges, hospitals, highways, dams. irrigation systems and power plants. Steel remains the backbone of practically every home, factory, school and hospital.

And it was coal that provided the means to lift millions upon millions out of poverty and extended human existence to enjoy a higher quality of life. It is no coincidence that the U.S. increase in life expectancy from 48 in 1900 to 77 in 2000 was highly correlated with the rise of coal-based electricity. No wonder that the National Academy of Engineering (NAE) identified “electrification” as the greatest engineering achievement of the 20th century.

But coal is far more than history. It is a current global reality,
improving the daily lives of billions of people throughout the world.

Consider the continuing role coal plays in the largest urbanizing society in the world—comprising 1.5 Billion people—nearly 20%% of the global population:

India: coal generates 75% of electricity, produces over 80% of steel and the vast majority of cement. India’s urban population is projected to grow by an incredible 400 million people by 2050, resulting in over 900 million living in cities, The World Bank has warned that 50% of the necessary urban infrastructure for 2050 has not yet built. Coal is the sine qua non of that growth.

As a result, India’s installed crude steel capacity of about 180 million metric tons in fiscal year 2025 is set to grow, reaching up to 280 million metric tons by 2035 alone.

And the beat goes on, By 2050, 68% of the world’s population is projected to live in urban areas, adding approximately 2.5 billion people to cities, some 80 million a year, 220,000 each day, 9,000 per hour and 190 new urbanites every single minute 24/7 for 24 years.

And we don’t need coal?

IBM Shareholders Get Climate/AI Bias Alert (Milloy)

Milloy reads AI bias/climate riot act to IBM management at annual shareholder meeting.  Here is the media release and audio presentation for the IBM shareholder proposal of the Free Enterprise Project of the National Center for Public Policy Research. The annual shareholder meeting is April 28, 2026. Text of press release below with my bolds and added images.

Press Release: IBM’s AI Model: Garbage In, Garbage Out

Washington, D.C. – At next week’s IBM annual meeting, shareholders will vote on a proposal from the National Center for Public Policy Research’s Free Enterprise Project (FEP) tackling potential bias within the company’s artificial intelligence models.

Proposal 7 (“AI Bias Audit”) requests “a report, within the next year, on the methods used to eliminate bias from the Company’s artificial intelligence (AI) models.”

At the April 28 meeting, FEP Executive Director Steve Milloy will cite climate alarmism as an example of where AI too often gets it wrong:

I am an AI user and it can be a great tool. But AI is subject to what 1950s IBM programmer George Fuechsel called “GIGO” – garbage in, garbage out. The Internet is full of amazing information. It is also full of amazing garbage. AI models often cannot distinguish between the two.

An example of garbage-in, garbage-out AI occurs in the controversial area of global warming and climate change. Here are three hardcore facts about climate:

♦  It cannot be scientifically demonstrated that greenhouse gas emissions have had
any effect on global climate.
♦  Emissions-driven climate models do not work.
♦  No emissions-based apocalyptic climate prediction has ever come true.

Despite these realities, if you query IBM AI on climate, you will get back gloom-and-doom climate hoax dogma. This happens because the Internet has been loaded for decades with bogus climate hoax claims and assumptions that are erroneous garbage.

Milloy believes IBM’s own website is partly to blame for this misinformation:

On IBM’s website, IBM’s chief sustainability officer says, for example, that:

Global warming is “leading to increased flooding, causing heat stroke and destroying farms and livelihoods. Insurance is becoming unaffordable.”

None of that is true. But it is what IBM AI is programmed with. Even IBM staff has been polluted with the climate. It is precisely the sort of garbage that George Fueschsel warned about.

The mindless parroting of climate hoax garbage to governments, businesses and the public has had devastating economic and societal impacts around the world – from wars to inflation to deadly energy failures to energy rationing to crop failures to deindustrialization to lost jobs to wasted taxpayer money to traumatized school children and beyond.

It has been estimated that world has wasted $10 trillion chasing the climate hoax narrative since 2015 alone. The list of harms from the climate hoax is endless. Yet IBM AI has learned the hoax and spreads the climate garbage on to users. Milloy will say:

“While IBM may be great at the computing part of AI, the world actually functions on realities that are often lost in the Internet dumpster,”  “Management needs to be much more humble about all this. It needs to take the bias problem seriously. Touchy-feely videos on the IBM website just don’t cut it.”

IBM shareholders can support Proposal 7 by voting their proxies before Tuesday’s meeting.

 

March 2026 Mild Warming SSTs Continue

The best context for understanding decadal temperature changes comes from the world’s sea surface temperatures (SST), for several reasons:

  • The ocean covers 71% of the globe and drives average temperatures;
  • SSTs have a constant water content, (unlike air temperatures), so give a better reading of heat content variations;
  • A major El Nino was the dominant climate feature in recent years.

Previously I used HadSST3 for these reports, but Hadley Centre has made HadSST4 the priority, and v.3 will no longer be updated.  This February report is based on HadSST 4, but with a twist. The data is slightly different in the new version, 4.2.0.0 replacing 4.1.1.0. Product page is here.

The Current Context

The chart below shows SST monthly anomalies as reported in HadSST 4.2 starting in 2015 through February 2026. A global cooling pattern is seen clearly in the Tropics since its peak in 2016, joined by NH and SH cycling downward since 2016, followed by rising temperatures in 2023 and 2024 and cooling in 2025, now with a mild rising in 2026.

 

Note that in 2015-2016 the Tropics and SH peaked in between two summer NH spikes.  That pattern repeated in 2019-2020 with a lesser Tropics peak and SH bump, but with higher NH spikes. By end of 2020, cooler SSTs in all regions took the Global anomaly well below the mean for this period.  A small warming was driven by NH summer peaks in 2021-22, but offset by cooling in SH and the tropics, By January 2023 the global anomaly was again below the mean.

Then in 2023-24 came an event resembling 2015-16 with a Tropical spike and two NH spikes alongside, all higher than 2015-16. There was also a coinciding rise in SH, and the Global anomaly was pulled up to 1.1°C in 2023, ~0.3° higher than the 2015 peak.  Then NH started down autumn 2023, followed by Tropics and SH descending 2024 to the present. During 2 years of cooling in SH and the Tropics, the Global anomaly came back down, led by Tropics cooling from its 1.3°C peak 2024/01, down to 0.6C in September this year. Note the smaller peak in NH in July 2025 now declining along with SH and the Global anomaly cooler as well. In December the Global anomaly exactly matched the mean for this period, with all regions converging on that value, led by a 6 month drop in NH.  Now in 2026 the first 3 months show a mild warming in all regions, in March approximately matching values 3 years ago, 03/2023 before the warming spike.

Comment:

The climatists have seized on this unusual warming as proof their Zero Carbon agenda is needed, without addressing how impossible it would be for CO2 warming the air to raise ocean temperatures.  It is the ocean that warms the air, not the other way around.  Recently Steven Koonin had this to say about the phonomenon confirmed in the graph above:

El Nino is a phenomenon in the climate system that happens once every four or five years.  Heat builds up in the equatorial Pacific to the west of Indonesia and so on.  Then when enough of it builds up it surges across the Pacific and changes the currents and the winds.  As it surges toward South America it was discovered and named in the 19th century  It iswell understood at this point that the phenomenon has nothing to do with CO2.

Now people talk about changes in that phenomena as a result of CO2 but it’s there in the climate system already and when it happens it influences weather all over the world.   We feel it when it gets rainier in Southern California for example.  So for the last 3 years we have been in the opposite of an El Nino, a La Nina, part of the reason people think the West Coast has been in drought.

It has now shifted in the last months to an El Nino condition that warms the globe and is thought to contribute to this Spike we have seen. But there are other contributions as well.  One of the most surprising ones is that back in January of 2022 an enormous underwater volcano went off in Tonga and it put up a lot of water vapor into the upper atmosphere. It increased the upper atmosphere of water vapor by about 10 percent, and that’s a warming effect, and it may be that is contributing to why the spike is so high.

A longer view of SSTs

To enlarge, open image in new tab.

The graph above is noisy, but the density is needed to see the seasonal patterns in the oceanic fluctuations.  Previous posts focused on the rise and fall of the last El Nino starting in 2015.  This post adds a longer view, encompassing the significant 1998 El Nino and since.  The color schemes are retained for Global, Tropics, NH and SH anomalies.  Despite the longer time frame, I have kept the monthly data (rather than yearly averages) because of interesting shifts between January and July. 1995 is a reasonable (ENSO neutral) starting point prior to the first El Nino.

The sharp Tropical rise peaking in 1998 was dominant in the record, starting Jan. ’97 to pull up SSTs uniformly before returning to the same level Jan. ’99. There were strong cool periods before and after the 1998 El Nino event. Then SSTs in all regions returned to the mean in 2001-2.

SSTS fluctuate around the mean until 2007, when another, smaller ENSO event occurs. There is cooling 2007-8,  a lower peak warming in 2009-10, following by cooling in 2011-12.  Again SSTs are average 2013-14.

Now a different pattern appears.  The Tropics cooled sharply to Jan 11, then rise steadily for 4 years to Jan 15, at which point the most recent major El Nino takes off.  But this time in contrast to ’97-’99, the Northern Hemisphere produces peaks every summer pulling up the Global average.  In fact, these NH peaks appear every July starting in 2003, growing stronger to produce 3 massive highs in 2014, 15 and 16.  NH July 2017 was only slightly lower, and a fifth NH peak still lower in Sept. 2018.

The highest summer NH peaks came in 2019 and 2020, only this time the Tropics and SH were offsetting rather adding to the warming. (Note: these are high anomalies on top of the highest absolute temps in the NH.)  Since 2014 SH has played a moderating role, offsetting the NH warming pulses. After September 2020 temps dropped off down until February 2021.  In 2021-22 there were again summer NH spikes, but in 2022 moderated first by cooling Tropics and SH SSTs, then in October to January 2023 by deeper cooling in NH and Tropics.

Then in 2023 the Tropics flipped from below to well above average, while NH produced a summer peak extending into September higher than any previous year.  Despite El Nino driving the Tropics January 2024 anomaly higher than 1998 and 2016 peaks, following months cooled in all regions, and the Tropics continued cooling in April, May and June along with SH dropping.  After July and August NH warming again pulled the global anomaly higher, September through January 2025 resumed cooling in all regions, continuing February through April 2025, with little change in May,June and July despite upward bumps in NH. Now temps in all regions have cooled led by NH from August through December 2025. A mild warming in 2026 appears in all regions January through March.

What to make of all this? The patterns suggest that in addition to El Ninos in the Pacific driving the Tropic SSTs, something else is going on in the NH.  The obvious culprit is the North Atlantic, since I have seen this sort of pulsing before.  After reading some papers by David Dilley, I confirmed his observation of Atlantic pulses into the Arctic every 8 to 10 years.

Contemporary AMO Observations

Through January 2023 I depended on the Kaplan AMO Index (not smoothed, not detrended) for N. Atlantic observations. But it is no longer being updated, and NOAA says they don’t know its future.  So I find that ERSSTv5 AMO dataset has current data.  It differs from Kaplan, which reported average absolute temps measured in N. Atlantic.  “ERSST5 AMO  follows Trenberth and Shea (2006) proposal to use the NA region EQ-60°N, 0°-80°W and subtract the global rise of SST 60°S-60°N to obtain a measure of the internal variability, arguing that the effect of external forcing on the North Atlantic should be similar to the effect on the other oceans.”  So the values represent SST anomaly differences between the N. Atlantic and the Global ocean.

The chart above confirms what Kaplan also showed.  As August is the hottest month for the N. Atlantic, its variability, high and low, drives the annual results for this basin.  Note also the peaks in 2010, lows after 2014, and a rise in 2021. Then in 2023 the peak reached 1.4C before declining to 0.9 August 2026.  An annual chart below is informative:

 

Note the difference between blue/green years, beige/brown, and purple/red years.  2010, 2021, 2022 all peaked strongly in August or September.  1998 and 2007 were mildly warm.  2016 and 2018 were matching or cooler than the global average.  2023 started out slightly warm, then rose steadily to an  extraordinary peak in July.  August to October were only slightly lower, but by December cooled by ~0.4C.

Then in 2024 the AMO anomaly started higher than any previous year, then leveled off for two months declining slightly into April.  Remarkably, May showed an upward leap putting this on a higher track than 2023, and rising slightly higher in June.  In July, August and September 2024 the anomaly declined, and despite a small rise in October, ended close to where it began.  Note 2025 started much lower than the previous year and headed sharply downward, well below the previous two years, then since April through September aligning with 2010. In October there was an unusual upward spike, now reversed down to match 2022 and 2016.  The orange 2026 line continues downward and is visible on top of 2016 purple line, well below the peak years of 2023 and 2024.

The pattern suggests the ocean may be demonstrating a stairstep pattern like that we have also seen in HadCRUT4.

The rose line is the average anomaly 1982-1996 inclusive, value 0.18.  The orange line the average 1982-2025, value 0.41 also for the period 1997-2012. The red line is 2015-2025, value 0.74. As noted above, these rising stages are driven by the combined warming in the Tropics and NH, including both Pacific and Atlantic basins.

Curiosity:  Solar Coincidence?

The news about our current solar cycle 25 is that the solar activity is hitting peak numbers now and higher  than expected 1-2 years in the future.  As livescience put it:  Solar maximum could hit us harder and sooner than we thought. How dangerous will the sun’s chaotic peak be?  Some charts from spaceweatherlive look familar to these sea surface temperature charts.

Summary

The oceans are driving the warming this century.  SSTs took a step up with the 1998 El Nino and have stayed there with help from the North Atlantic, and more recently the Pacific northern “Blob.”  The ocean surfaces are releasing a lot of energy, warming the air, but eventually will have a cooling effect.  The decline after 1937 was rapid by comparison, so one wonders: How long can the oceans keep this up? And is the sun adding forcing to this process?

uss-pearl-harbor-deploys-global-drifter-buoys-in-pacific-ocean

USS Pearl Harbor deploys Global Drifter Buoys in Pacific Ocean

US Temperature Extremes Declined (Christy)

A comprehensive new study extending the U.S. Historical Climatology Network (USHCN) record back to 1899 finds that both hot and cold temperature extremes across the contiguous United States have declined over the past 127 years. The research, performed by Dr. John R. Christy, Alabama State Climatologist (retired) and professor of atmospheric and Earth science at The University of Alabama in Huntsville, analyzed more than 40 million daily temperature observations to provide the most complete long-term view to date of U.S. extreme heat and cold. The paper is published in Theoretical and Applied Climatology. Excerpts below with my bolds and some added images.

Abstract

Knowledge of temperature extremes, and their potential changes within a climate system of increasing greenhouse gases, is of vital interest for humans and the infrastructure which supports them. To produce a better understanding of how daily extreme temperatures have changed over time in the conterminous US (CONUS), the United States Historical Climate Network (USHCN) database was extended back to 1899 and forward to 2025. The original 1,218 stations, selected in the 1980s by NOAA as capable of addressing climate concerns, have since been neglected – almost half of the stations have closed since 2000. Incomplete station records were supplemented with nearby stations with high correlation and removeable biases to provide time series for 1,211 of the stations with at least 92% of data present. Extreme temperature metrics for summer daily maximum temperatures and winter daily minimum temperatures were calculated. The general result is that metrics for extreme summer heat, e.g., hottest values, number of heatwave days, etc., show modest negative trends since 1899. Extreme cold temperature metrics also indicate a decline in their occurrences especially since the 1990s. In sum, instances of both hot and cold extreme metrics have declined since 1899. To demonstrate an application of this dataset we examined the claims of one source regarding changing temperature extremes, The National Climate Assessment 5.

This metric determines for each day of the season the particular year in which the hottest (coldest) TMax (TMin) occurred. There are 153 (122) days in the May-Sep (Dec-Mar, leap year) for which a daily record will be achieved. The number of extremes occurring in each year is calculated per station then geographically interpolated as discussed above. This metric is more robust than the single All-Time metric above as each station contributes 153 (122) values to the time series rather than just one. This also provides an indication of the incidence of multiple hot and cold records to help identify periods of excess heat (cold).

The expected value for a purely random process for the number of daily TMax (TMin) records would be 1.20 (0.96) in a given year per station for a 127-year record (i.e., 1.20 = 153/127 and 0.96 = 122/127). The results (Fig. 4) indicate again that 1936 contributed the most daily hot records for the CONUS at 6.7 per station but followed more closely by other years, with 1934 (5.3), 1931 (3.4) and 1911 and 1925 (3.3) completing the top five.

The number of coldest records occurred in 1899 (3.7) in association with February 1899 event. The following years experienced extreme cold as well, 1917 (3.3), 1989 (2.9), 1924 (2.4) and 1936 (2.4). Thus, 1936 was a year with many extremes on both ends of the thermometer.

Comparing the two metrics in Figs. 10 and 11 produces Fig. 12 which displays the sum and the difference, year-by-year of the 15-yr running means. The sum of days in extreme heat/cold declined from over 120 in the 1930s to about 75 since 1960. The conclusion here would be that the CONUS has experienced a decline of around 30% of these durative extreme events in the past 100 years. Along with this decline has been an increase in heatwave days vs. cold wave days since the 1970s, mainly due to the increase in heatwave days in the West (Fig. 10) and the decline in cold wave days overall.

Discussion

Overall, our project indicates that extremes in summer heat-related metrics for the CONUS as defined in the four questions above do not show increasing trends, but rather modest negative trends, and thus appear to be substantially affected by other forcings such as natural variability in addition to GHGs. There are positive TMax metric trends in western regions which are countered by larger negative trends elsewhere.

The number of cold extreme events has declined in the past 30 years too and this is likely, in part, related to the development of infrastructure around the stations which disturbs the nocturnal boundary layer, inhibiting the formation of the cold, shallow layer in which TMin is observed. Additionally, this result may be an early sign of atmospheric warming of the coldest air masses by the added GHGs (e.g., Krayenhoff et al. 2018), though this hypothesis has not been confirmed as a direct result of GHGs (e.g., Huang et al. 2023). Observations of the deep atmospheric temperature in the polar region north of + 60° latitude indicate a warming trend of + 0.47 °F (+ 0.26 C) decade− 1 since 1979 compared with a global trend of + 0.27 °F (+ 0.15 C) decade− 1 (Spencer et al. 2017). This would suggest Arctic air intrusions into the CONUS may be slightly warmer now than in the past century or so (for whatever reason) and thus consistent with the results shown here for a lessening of the magnitude of cold events in recent decades. However, we note the same area in the southern hemisphere shows virtually no warming (+ 0.05 °F (+ 0.03 C) decade− 1).

Conclusions

In the field of climate change, attention has been drawn to extreme metrics occurring in the last several years as evidence for human influences through increasing GHGs (e.g., USGCRP 2017; Seneviratne et al. 2021; Jay et al. 2023). Examining this aspect of climate and weather is appropriate since human thriveability is often constrained by the magnitude of the extremes that we experience. We describe here a dataset constructed to examine the occurrence through time of extreme temperature metrics in the CONUS for the coldest winter and hottest summer days since Dec 1898. The dataset is based on the 1,218 USHCN stations 1,211 of which have been supplemented to be “complete”, i.e., each station having at least 92% of days available for analysis.

The results indicate that extremes in heat-related metrics for daily TMax in the summer have not increased and in fact often show modest declines since 1899, due mostly to the early heat events during 1925–1954. This is consistent with Seneviratne et al. 2021 (IPCC AR6, their Fig. 11). Cold-related extreme events based on winter TMin show evidence of decreasing occurrences, two causes of which were proposed, (1) increasing human development around weather stations, and (2) an early response to increasing GHGs as they warm the coldest air first. When taken together, the occurrences of heat and cold extremes have declined over the past 127 years in the CONUS, i.e., the climate over the CONUS has become less impacted by temperature extremes to this point.

Relating this reduction of extreme events to increasing GHGs would be difficult
as the magnitude of the regional natural variability of weather and climate
is considerable in comparison to a small GHG-induced temperature rise.

Once the shifts were accommodated, the time series (Fig. 14) for Fresno 12-month running anomalies indicate very different results between TMax and TMin, which is a clear indication of the NCI of urbanization. The TMax time series indicates no trend through 2012 (slightly negative) but contains a relatively sudden rise in 2013 which is consistent with the entire western CONUS as seen in Figs. 5 and 10. The overall TMax trend is + 0.03 °F (+ 0.02 C) decade− 1. The trend in TMin is + 0.43 °F (+ 0.24 C) decade− 1.

The impact of Non-Climatic Influences (NCI) was considered in the temperature evolution of one USHCN station, Fresno California, as an example of a clear and large response to forcings unrelated to the increasing GHGs. In this case, the urbanization impact on TMin of 5 °F (~ 3 °C) is clearly apparent, while summer TMax (with urbanization) indicates a trend not significantly different from zero. Voluminous research has and will be performed on this aspect of surface temperature records as these types of influences need to be identified and removed so that changes in the background climate due to GHGs may be estimated with more confidence. We also demonstrated that one must be cautious when interpreting official statements about extreme weather events for the CONUS.