2023 Update: Fossil Fuels ≠ Global Warming

gas in hands

Previous posts addressed the claim that fossil fuels are driving global warming. This post updates that analysis with the latest (2022) numbers from Energy Institute and compares World Fossil Fuel Consumption (WFFC) with three estimates of Global Mean Temperature (GMT). More on both these variables below. Note: Previously these same statistics were hosted by BP.

WFFC

2022 statistics are now available from Energy Institute for international consumption of Primary Energy sources. Statistical Review of World Energy. 

The reporting categories are:
Oil
Natural Gas
Coal
Nuclear
Hydro
Renewables (other than hydro)

Note:  Energy Institute began last year to use Exajoules to replace MToe (Million Tonnes of oil equivalents.) It is logical to use an energy metric which is independent of the fuel source. OTOH renewable advocates have no doubt pressured EI to stop using oil as the baseline since their dream is a world without fossil fuel energy.

From BP conversion table 1 exajoule (EJ) = 1 quintillion joules (1 x 10^18). Oil products vary from 41.6 to 49.4 tonnes per gigajoule (10^9 joules).  Comparing this annual report with previous years shows that global Primary Energy (PE) in MToe is roughly 24 times the same amount in Exajoules.  The conversion factor at the macro level varies from year to year depending on the fuel mix. The graphs below use the new metric.

This analysis combines the first three, Oil, Gas, and Coal for total fossil fuel consumption world wide (WFFC).  The chart below shows the patterns for WFFC compared to world consumption of Primary Energy from 1965 through 2022.

The graph shows that global Primary Energy (PE) consumption from all sources has grown continuously over nearly 6 decades. Since 1965  oil, gas and coal (FF, sometimes termed “Thermal”) averaged 88% of PE consumed, ranging from 93% in 1965 to 82% in 2022.  Note that in 2020, PE dropped 21 EJ (4%) below 2019 consumption, then increased 31 EJ in 2021.  WFFC for 2020 dropped 24 EJ (5%), then in 2021 gained back 26 EJ to slightly exceed 2019 WFFC consumption. For the 58 year period, the net changes were:

Oil 194%
Gas 525%
Coal 178%
WFFC 239%
PE 287%
Global Mean Temperatures

Everyone acknowledges that GMT is a fiction since temperature is an intrinsic property of objects, and varies dramatically over time and over the surface of the earth. No place on earth determines “average” temperature for the globe. Yet for the purpose of detecting change in temperature, major climate data sets estimate GMT and report anomalies from it.

UAH record consists of satellite era global temperature estimates for the lower troposphere, a layer of air from 0 to 4km above the surface. HadSST estimates sea surface temperatures from oceans covering 71% of the planet. HadCRUT combines HadSST estimates with records from land stations whose elevations range up to 6km above sea level.

Both GISS LOTI (land and ocean) and HadCRUT4 (land and ocean) use 14.0 Celsius as the climate normal, so I will add that number back into the anomalies. This is done not claiming any validity other than to achieve a reasonable measure of magnitude regarding the observed fluctuations.[Note: HadCRUT4 was discontinued after 2021 in favor of HadCRUT5.]

No doubt global sea surface temperatures are typically higher than 14C, more like 17 or 18C, and of course warmer in the tropics and colder at higher latitudes. Likewise, the lapse rate in the atmosphere means that air temperatures both from satellites and elevated land stations will range colder than 14C. Still, that climate normal is a generally accepted indicator of GMT.

Correlations of GMT and WFFC

The next graph compares WFFC to GMT estimates over the decades from 1965 to 2022 from HadCRUT4, which includes HadSST4.

Since 1965 the increase in fossil fuel consumption is dramatic and monotonic, steadily increasing by 239% from 146 to 494 exajoules.  Meanwhile the GMT record from Hadcrut shows multiple ups and downs with an accumulated rise of 0.8C over 56 years, 6% of the starting value.

The graph below compares WFFC to GMT estimates from UAH6, and HadSST4 for the satellite era from 1980 to 2022, a period of 43 years.

In the satellite era WFFC has increased at a compounded rate of nearly 2% per year, for a total increase of 92% since 1979. At the same time, SST warming amounted to 0.53C, or 3.7% of the starting value.  UAH warming was 0.52C, or 3.8% up from 1979.  The temperature compounded rate of change is 0.1% per year, an order of magnitude less than WFFC.  Even more obvious is the 1998 El Nino peak and flat GMT since.

Summary

The climate alarmist/activist claim is straight forward: Burning fossil fuels makes measured temperatures warmer. The Paris Accord further asserts that by reducing human use of fossil fuels, further warming can be prevented.  Those claims do not bear up under scrutiny.

It is enough for simple minds to see that two time series are both rising and to think that one must be causing the other. But both scientific and legal methods assert causation only when the two variables are both strongly and consistently aligned. The above shows a weak and inconsistent linkage between WFFC and GMT.

Going further back in history shows even weaker correlation between fossil fuels consumption and global temperature estimates:

wfc-vs-sat

Figure 5.1. Comparative dynamics of the World Fuel Consumption (WFC) and Global Surface Air Temperature Anomaly (ΔT), 1861-2000. The thin dashed line represents annual ΔT, the bold line—its 13-year smoothing, and the line constructed from rectangles—WFC (in millions of tons of nominal fuel) (Klyashtorin and Lyubushin, 2003). Source: Frolov et al. 2009

In legal terms, as long as there is another equally or more likely explanation for the set of facts, the claimed causation is unproven. The more likely explanation is that global temperatures vary due to oceanic and solar cycles. The proof is clearly and thoroughly set forward in the post Quantifying Natural Climate Change.

Footnote: CO2 Concentrations Compared to WFFC

Contrary to claims that rising atmospheric CO2 consists of fossil fuel emissions, consider the Mauna Loa CO2 observations in recent years.

Despite the drop in 2020 WFFC, atmospheric CO2 continued to rise steadily, demonstrating that natural sources and sinks drive the amount of CO2 in the air.

See also: Nature Erases Pulses of Human CO2 Emissions

Temps Cause CO2 Changes, Not the Reverse

Arctic Ice in Surplus June 2023

The animation shows Arctic ice extents on day 151 (end of May) through yesterday June 30, 2023  As usual, the Pacific basins Bering and Okhotsk (far left) became ice-free and are no longer included in these updates. Years vary as to which regions retain more or less ice.  For example, this year Hudson Bay (bottom right) lost half its ice by June 30, earlier than average.  That is a shallow basin and can quickly lose its ice in coming days.  Despite this early melting, the NH Ice extent remains greater than the 17 year average.

The graph below compares the June monthly ice extents 2007 to 2023 and compared to the 17 year average.

Clearly June ice appears as a plateau, and most years MASIE shows greater extents than SII, with differences of only a few 100k km2.  Previously 2019-20 were in deficit to average, but June 2022-3 have returned to surplus years.  More on MASIE dataset at the end.

The graph shows the melting pattern during June 2023 remained above average all month, and greatly exceeded 2007 and 2020, especially in the last 2 weeks.  June 30, 2023 was 322k km2 in surplus, and exceeded 2007 by 0.4 Wadhams (M km2).

The table below shows ice extents by regions comparing 2023 with 17-year average (2006 to 2022 inclusive) and 2007.

Region 2023181 Day 181 Average 2023-Ave. 2007181 2023-2007
 (0) Northern_Hemisphere 10072140 9750262 321878 9672969 399171
 (1) Beaufort_Sea 919937 927608 -7671 939209 -19272
 (2) Chukchi_Sea 804545 723247 81299 670088 134457
 (3) East_Siberian_Sea 1021758 1010088 11669 901963 119795
 (4) Laptev_Sea 738148 699906 38242 658742 79406
 (5) Kara_Sea 568642 542617 26025 657478 -88836
 (6) Barents_Sea 99262 117038 -17776 130101 -30839
 (7) Greenland_Sea 650550 499950 150600 548399 102152
 (8) Baffin_Bay_Gulf_of_St._Lawrence 703359 513540 189819 450461 252898
 (9) Canadian_Archipelago 743003 780546 -37543 773611 -30607
 (10) Hudson_Bay 577518 707353 -129835 718441 -140923
 (11) Central_Arctic 3241230 3204305 36925 3218999 22231

2023 is 322k km2 above average (3.3%). The main deficit is in Hudson Bay, more than offset by large  surpluses in Baffin Bay and Greenland Sea, along with additonal ice elsewhere.

Footnote on MASIE Data Sources:

MASIE reports are based on data primarily from NIC’s Interactive Multisensor Snow and Ice Mapping System (IMS). From the documentation, the multiple sources feeding IMS are:

Platform(s) AQUA, DMSP, DMSP 5D-3/F17, GOES-10, GOES-11, GOES-13, GOES-9, METEOSAT, MSG, MTSAT-1R, MTSAT-2, NOAA-14, NOAA-15, NOAA-16, NOAA-17, NOAA-18, NOAA-N, RADARSAT-2, SUOMI-NPP, TERRA

Sensor(s): AMSU-A, ATMS, AVHRR, GOES I-M IMAGER, MODIS, MTSAT 1R Imager, MTSAT 2 Imager, MVIRI, SAR, SEVIRI, SSM/I, SSMIS, VIIRS

Summary: IMS Daily Northern Hemisphere Snow and Ice Analysis

The National Oceanic and Atmospheric Administration / National Environmental Satellite, Data, and Information Service (NOAA/NESDIS) has an extensive history of monitoring snow and ice coverage.Accurate monitoring of global snow/ice cover is a key component in the study of climate and global change as well as daily weather forecasting.

The Polar and Geostationary Operational Environmental Satellite programs (POES/GOES) operated by NESDIS provide invaluable visible and infrared spectral data in support of these efforts. Clear-sky imagery from both the POES and the GOES sensors show snow/ice boundaries very well; however, the visible and infrared techniques may suffer from persistent cloud cover near the snowline, making observations difficult (Ramsay, 1995). The microwave products (DMSP and AMSR-E) are unobstructed by clouds and thus can be used as another observational platform in most regions. Synthetic Aperture Radar (SAR) imagery also provides all-weather, near daily capacities to discriminate sea and lake ice. With several other derived snow/ice products of varying accuracy, such as those from NCEP and the NWS NOHRSC, it is highly desirable for analysts to be able to interactively compare and contrast the products so that a more accurate composite map can be produced.

The Satellite Analysis Branch (SAB) of NESDIS first began generating Northern Hemisphere Weekly Snow and Ice Cover analysis charts derived from the visible satellite imagery in November, 1966. The spatial and temporal resolutions of the analysis (190 km and 7 days, respectively) remained unchanged for the product’s 33-year lifespan.

As a result of increasing customer needs and expectations, it was decided that an efficient, interactive workstation application should be constructed which would enable SAB to produce snow/ice analyses at a higher resolution and on a daily basis (~25 km / 1024 x 1024 grid and once per day) using a consolidated array of new as well as existing satellite and surface imagery products. The Daily Northern Hemisphere Snow and Ice Cover chart has been produced since February, 1997 by SAB meteorologists on the IMS.

Another large resolution improvement began in early 2004, when improved technology allowed the SAB to begin creation of a daily ~4 km (6144×6144) grid. At this time, both the ~4 km and ~24 km products are available from NSIDC with a slight delay. Near real-time gridded data is available in ASCII format by request.

In March 2008, the product was migrated from SAB to the National Ice Center (NIC) of NESDIS. The production system and methodology was preserved during the migration. Improved access to DMSP, SAR, and modeled data sources is expected as a short-term from the migration, with longer term plans of twice daily production, GRIB2 output format, a Southern Hemisphere analysis, and an expanded suite of integrated snow and ice variable on horizon. Source:  Interactive Multisensor Snow and Ice Mapping System (IMS)

Now Can We Stop the Blame Game?

See Also Virtue Signaling Is a Vicious Circle

One key to understanding much of the bewildering behavior we see around us is to recognize the power and popularity of “virtue signaling.” Keeping virtue signaling in mind will help you understand a lot of behavior that otherwise makes no sense.

What, for example, is the point of removing Confederate statues or attempting to disown the country’s Founding Fathers because some were slave owners? It makes sense if your objective is to be sanctimonious. You make yourself feel better by looking down your nose at Thomas Jefferson.

Virtue signaling is the modern version of what St. Augustine in the 5th century referred to as “outward signs of inward grace.” A major difference, however, is the kind of grace he referred to actually meant something.

A precondition to needing to virtue signal is guilt. Virtue signaling is one of the left’s package deals that typically involve two steps. Firstly, make people who have done nothing wrong feel guilty. Then, offer them ways to assuage that guilt. It’s little more than a con game but it has worked amazingly well for social revolutionaries.

It always helps to keep in mind that everything is relative. In order to feel superior, you need something to feel superior to. Virtuous relative to what? In order to feel holier than thou you need a thou.

Does virtue signaling accomplish anything outside of the individual? Anything tangible, significant? Any activity as widespread and long-lasting as virtue signaling has to have payoffs. The payoffs for virtue signaling are inner, not outer, directed.

An irony is that the need to virtue signal is an insecurity about your own virtue. An observation a psychologist friend likes to make is, “The bigger the front, the bigger the back.” Or as Ralph Waldo Emerson observed, “The louder he spoke of his honor, the faster we counted our spoons.” Virtue signaling is motivated more by insecurities than virtue.

 

 

 

Insurers Playing the Climate Card

You’re probably seeing headlines like this one from The Hill Insurers pull back as US climate catastrophes intensify.   H/T Mark Krebs.  As usual, the Climate Card is a coverup for others who really are to blame for losses.  The linked article starts to look under the carpet, and I will dig deeper in this post.

Firstly, they label weather events as climate castastrophes in order to blame them on everyone else.  

From The Hill:

This month Farmers Insurance announced that it will no longer write new property insurance policies in Florida, citing “catastrophe costs … at historically high levels.” AIG also recently stopped issuing policies along the Sunshine State’s hurricane-vulnerable coastline.

State Farm, meanwhile, said in May, that it would impose a moratorium on new policies in California due to “rapidly growing catastrophe exposure.”

Mark Friedlander, director of corporate communications at the Insurance Information Institute, said that dozens of firms have reduced their presence in Louisiana, including 50 that have stopped writing new policies in the state’s hurricane-prone parishes.

Then in the article details, there are other factors causing claims, including bad governance

He noted that while Farmers made headlines, it’s the 15th insurer to stop writing new policies in Florida in the last 18 months. Although most of those companies have not pulled out of the state outright, he added, three have.

“Insurers are in many ways the first movers” in response to trends like extreme weather and natural disasters, Keys said. “They have a significant amount of money at stake, so they’re very exposed to the downside.”

Florida is in a unique position, Friedlander said, because of a combination of high fraud rates and widespread litigation, which both compound the cost of insurance on top of the climate risks. A state law enacted this year creates a backstop for property insurance in hopes of alleviating some costs, but it’s not yet clear how effectively it will counteract those factors, which have been building for years.

“The difference is in California and Louisiana, [insurance costs are] primarily climate-driven,” he said. “They don’t have the manmade factors we have here in Florida.”

“There isn’t an equivalent for wildfires in California, so the risks in California are borne much more directly. [Note:  Refers to California wildfires, which are uniquely a problem in that woke state which refuses to apply forestry management best practices.]

Insurance Industry Intends to Leverage Climate Fear

“The industry’s taking the approach now of what’s called predict and prevent, meaning being proactive to address climate risk and make sure insurance coverage reflects that and make sure homes and business take preventative action,” Friedlander told The Hill.

Keys also noted that the decisions don’t mean the insurers will never write policies or operate in the state again. Rather, he said, they should be understood as a way for insurers to negotiate, both on what they can charge in premiums and what factors they can weigh.

“It’s not that [insurers] don’t want to do business in your state, it’s that [they]
don’t want to do business at the current premiums [they] can charge.” 

Soaring School Insurance Costs Show How This Works

From Education Week Schools’ Insurance Costs Are Soaring—And Climate Change Isn’t the Only Reason.  Excerpts in italics with my bolds.

School districts are just like homeowners, renters, drivers, and small businesses—they need insurance, even as it’s become prohibitively expensive.

The 900-student Davis district in southern Oklahoma spent $61,000, or roughly $68 per student, on liability insurance for the 2019-20 school year. Last school year, the cost for the same coverage was $150,000, or $167 per student.  Next school year, it’ll be $261,000, or $290 per student. That’s a 328 percent jump just in two years.

Why is the cost of insurance rising so precipitously? Several factors provide clues.

For one, climate change is causing more frequent natural disasters that affect school district operations and require insurance companies to pay out. And it’s not only districts in hard-hit areas that see higher premiums as a result.

Districts’ coverage costs are increasingly determined by what’s happening nationally, not just in their own communities, said Kelli Hanson, executive director of the Schools Insurance Group, which provides insurance to schools in California.

“The more hurricanes we have in Florida, we’re impacted. The more flooding in the Midwest, we’re impacted,” Hanson said.  [Cashing in on Climate?]

Meanwhile, new laws allowing more lawsuits over sexual abuse are putting school districts in an unflattering legal spotlight—while also contributing to higher insurance premiums because of the added legal liability. In California, for instance, a new law passed in 2019 dramatically extends the statute of limitations for plaintiffs to sue over child sexual abuse, including in schools.

The growing frequency of cybercrimes is another factor putting districts at risk. The Shanksville-Stonycreek district in southwestern Pennsylvania saw cybersecurity insurance costs triple after a hacker got access to some of the district’s files in 2019, said Sidney Clark, the district’s business manager and board secretary.

And some districts have adopted controversial policies that are alienating their providers altogether. In Iowa, at least two districts nearly lost insurance coverage recently after they announced that they would be allowing teachers to carry guns on campus. After consulting with other providers who also wouldn’t commit to coverage, both districts have since nixed the policy.

In Oklahoma, one of two main providers of school property and casualty insurance shut down during the pandemic. As a result, Moring said, he has no choice but to sign up with the Oklahoma School Insurance Group (OSIG), no matter what its coverage plan looks like.

In turn, OSIG has struggled to keep rates down for the hundreds of districts in its membership, said Rick Thomas, a retired superintendent who has served as OSIG’s executive director for the last school year.

Over the last three years, Thomas said, OSIG has raised from $14 million to $30 million the amount of money it pays out to districts directly before seeking reimbursement from re-insurers—external companies that charge higher premiums.

School districts aren’t entirely powerless to stop insurance costs from swelling. In many cases, providers want to see that districts are proactively preparing for the unlikeliest scenarios.

Schools with safety plans with details on how they’ll deal with wildfires—what they’re doing to keep shrubbery away from buildings, how they’ll evacuate if necessary, for instance—are more likely to receive favorable insurance coverage, Hanson said.

Background from Previous Post Banking on Climate Alarm

The media are again amping up claims of bad weather to be feared from “climate change.” It is Whack-A-Mole time again, so here is a complete debunking of such media reports, compiled to refute a particularly bad speech by Mark Carney Governor of the Bank of England. H/T Friends of Science

Fact Checking Mark Carney’s Climate Claims is a useful reference document written by Steven Kopits of Princeton Energy Advisors. A few examples below show his systematic dismantling of the alarmist narrative by referencing publically available sources, many of them on government or corporate sites.

Temperatures Rising


We do have long-time series data for Central England, extending back to 1772. To the extent this measurement is reliable and can be extrapolated to hemispheric averages, it shows a step-up of about 1 deg Celsius from 1980 to 2005, which supports Governor Carney’s assertions. On other hand, it also shows a drop of 0.5 deg Celsius from 2005 to the present—which does not.

Sea Levels

As with just about every other metric the Governor mentions, we have data. Sea level is measured by tide gauges, and also by satellites. Satellite measurements suggest that sea level has been rising steadily by roughly 3 mm / year, which equates to about 1 foot per century.

Weather-related Insurance Losses

SOURCE: MUNICH RE NATCAT SERVICE

Hurricanes account for 75% of catastrophic losses, with typhoons representing an additional 8%. Thus, hurricanes and typhoons represent $6 of every $7 paid out in ‘top ten’ catastrophic weather-related insurance claims.

And this in turn tells us a great deal about the nature of insurance. Where do insured hurricane losses occur? Principally in the United States. Where do insured typhoon losses occur? Principally in Japan and Taiwan. Why these places? Because all of these are wealthy countries. Hurricane and typhoon losses will be greater where there is, first, a concentration of physical assets, and second, where those assets are valuable. In other words, in the advanced countries exposed to hurricanes and typhoons.

In this, no country is more exposed than the United States. Of overall losses due to top ten catastrophic weather events, nearly 2/3 occurred in the United States alone.

Insured Weather-related Losses

SOURCE: MUNICH RE NATCAT SERVICE

Indeed, if we restrict this to insured losses (including floods and tornadoes), the US accounts for 84% by itself.  Thus, if we are speaking of insured weather-related losses, as a practical matter we are speaking of hurricane damage in the US.  The rest is largely incidental.  For example, Superstorm Sandy caused more insured losses in one event than the cumulative and collective top ten catastrophic, weather-related losses from Europe, China, and Japan since 1980.  And Sandy was only the second worst insurance event in recent times. 

Now, why are US losses so great? Is it due to the number or strength of storms making landfall in the United States?

GLOBAL HURRICANE FREQUENCY SOURCE: RYAN MAUE

In fact, there is no such pattern discernible in the data. Indeed, the last few years have seen fewer than average hurricanes globally, with a recovery to up-cycle numbers in the last year or so.

Rather, reinsurance data hints at the source of losses: higher payouts for assets in harm’s way. 

INSURED LOSSES AS A PERCENT OF OVERALL LOSSES, TOP TEN LISTS, 1980-2014 SOURCE: MUNICH RE NATCAT SERVICE

Further, more and more expensive assets are exposed to hurricanes in particular.  In the US, for example, ever more people are living on the coasts, and beach front property has become prized and expensive.  One need only look out the window on a flight approaching Miami International Airport to be appalled at the sheer concertation of high-end housing built just above sea level on islands dotting Florida’s Atlantic Coast.   How long until a hurricane wipes a good number of these off their foundations?  And what kind of insurance losses will that involve?

Indeed, an examination of catastrophic losses suggests a decisive role for government policy.  Hurricane Katrina, which destroyed New Orleans in 2005, represents alone more than one-quarter of all insured top ten losses globally since 1980.  In just one event. 

The article goes on to deal with other claims regarding Floods, Droughts, Tornadoes, and Wildfires before reaching this conclusion.

Summing Up

In his speech to London’s insurance community, Mark Carney, Governor of the Bank of England, asserted a series of claims about climate change. Some of these are widely accepted. The climate does change. The world has warmed. Atmospheric CO2 has increased, half of the increment due to human activities.

Beyond this, there is no consensus, and indeed, the available data in many cases directly refutes the Governor’s more extreme assertions. There is no consensus that humans are the primary drivers of climate change. As we can see, sea levels, for example, were rising well before the 1950s date Carney gives as the start of modern anthropogenic warming.

Importantly, the increase in losses since the 1980s is more likely to reflect expanded insurance coverage, increasing payouts as a percent of losses incurred, and an increased number of assets with higher values placed in harm’s way. Losses increases have not occurred due to increases in hurricane, tornado, flooding, drought or fire frequency or strength, at least not in the United States, which represents the lion’s share of insurance claims. In many cases, either frequency or intensity of weather-related events has actually declined. Sea level rise has not accelerated, not as measured by either satellites or tide gauges. Sea level has been rising for well over 100 years, and continues on that pace.

Like so many other economists, Governor Carney seems to operate under the assumption that current CO2 levels are just on the edge of some catastrophic acceleration. For some reason, 320 ppm of atmospheric CO2 is safe, but 540 ppm is not, because there is some precipice—an inflection point or boundary—between here and there. The limit is not 1,000 ppm, or 5,000 ppm, or 42,448 ppm, but right here, right now. A little more CO2, a trace more of a harmless trace gas, and we are doomed.

The climate is complex and the future uncertain. It is possible the worst fears may prove correct. Nevertheless, such an assertion is not supported by the historical data, not for US droughts, floods, tornados, hurricanes or fires. But it does show up. In politics. If sea levels were 20 cm higher in New York and this contributed to the damage from Superstorm Sandy, well, any middling analyst could have predicted the rise back in 1940, just as we can predict today that sea levels will be one foot higher a century hence. The failure was not of CO2 emissions, but squarely a failure of governance. And that goes doubly so for the fate of New Orleans. If Governor Carney wanted to make a constructive proposal, he should have called for Lloyds to create macro audits of risk zones and censure or refuse to insure jurisdictions where governance is not up to par. If insurers had refused to insure New Orleans unless the levees were sound, they could have saved themselves $30 bn in payouts and probably twice that in losses.

As an analyst, I find Mr. Carney’s speech is truly dismaying. For the Governor of the Bank to claim that climate change is leading to rapidly rising insurance claims is, at best, a critical failure of analysis. As discussed above, insurance claims are a function of a number of factors, including the type and country of the weather event, as well as the extent of insurance coverage and payout ratios. A hurricane in the US may see one hundred times the payouts of a major flood in India. Payouts will rise as a function of nominal GDP, as both inflation and the value and concentration of assets will play a crucial role in overall losses. The specific path of a storm can also be decisive for global averages. It goes without saying that a storm which strikes in Philadelphia, marches up the New Jersey coast, slams into the Manhattan and turns towards New Haven is going to cost a bundle. That same storm hitting, say, rural Mississippi would cause a fraction of the monetary damages. And this matters, because Superstorm Sandy caused more insured damages than all the leading weather events in Europe, Japan, and China combined. Single events can move long-term global averages.

If the Bank missed this, it is not because the necessary data is hard to find. Information on weather-related events is readily and publicly accessible on the internet. Almost every graph I use above relating to hurricanes, tornadoes, floods and droughts comes from the US government itself. Apparently, the Bank of England could not be bothered to consult the underlying climate data before making hyperbolic claims. Thus, at best, the Bank was careless with data analysis.

A worse interpretation of events suggests that Mr. Carney was willing to blindly accept the conventional wisdom, the ‘consensus of scientists’ regarding global warming, without any will or curiosity to dig deeper and form a personal view. One can only hope that monetary policy in the UK is not informed by such superficiality or passivity.

The very worst interpretation is that Mr. Carney is in fact aware of the source data, but chose to make hysterical claims to promote a personal political agenda. I cannot imagine a more ill-considered idea. For those of us who consider central bank independence sacred, the appearance of a national bank taking sides in a highly charged political debate—and doing so with scant regard for the underlying data—will establish the Bank of England as partisan and the political opponent of conservative politicians. Given that Janet Yellen, the Chairman of the US Federal Reserve Bank, hails from Berkeley, a hot bed of climate activism, should the Republican Party consider the Fed also its opponent? If so, I can assure you, the Republicans will find some support to ‘audit’ the institution.

At the end of the day, political neutrality is a pre-condition for central bank independence. If a political party deems the central bank to be an opponent, then it will take measures to gain political control over the bank, with the result that monetary policy itself may become politicized. If the Bank nevertheless feels compelled to champion a particular side in a political debate, its analysis must be water-tight and its communication, impartial. That Governor Carny violated both dictums is simply stunning and a huge blow to the prestige of the Bank of England. It was a very bad call indeed.

More anti-alarmist information at Climate Whack-A-Mole

Yes, We Will Avoid a Climate Catastrophe.

At Quora someone posed this  question:  Will we avoid a climate catastrophe just in time (please be positive I need some hope)?

Paul Noel ,Former Research Scientist 6 Level 2 UAH (2008–2014) wrote this response.  Excerpts in italics with my bolds and added images.

I have researched this issue in depth. As a good scientist I have gone deeply and gotten the facts. I have gotten:

  • the Satellite data on the global profiles,
  • the weather data.
  • the storm data and disaster data
  • the polar ice data.
  • the historical data.

I have looked in deeply on this issue. I have studied the physics too! I have studied the history too! I have studied the archeology and even the paleo geology and even the ice core data.

This isn’t easy to get because lots of people are producing lies on the topic. So I have worked very hard to get down to the facts. Then the job becomes one which is very hard. If I just tell you the answers I got , it is a case of if you believe me or not. If I tell you the science data it is likely to get way in over your understanding and that is back to if you believe me or not. This is a job of explaining to you very carefully what the data is using things you can see and understand.

So taking this from the top there are 2 ways I can go.
One way is to go into the advocates of the topic that are so scaring you deeply
and the other is to go into the science.

The explanation of the science is pretty easy and such but explaining to you the motives of people and their actions and methods is much harder. But I am going to start with the people.

Why are they scaring you about the climate?

Climate policy has almost nothing to do anymore with environmental protection, says the German economist and IPCC official Ottmar Edenhofer.

This is what this is all about. There is no other motive. You may dispense with your worries here if you are worried for the world environment. But I will now switch to the facts and reality on the ground. Remember this alone should pretty much put an end to your worries. You are facing a very large deliberate well funded and most professionally constructed set of lies and propaganda designed to get you scared like you are. This is 5th generational warfare. It is not anything you are used to thinking about. That is why it is effective.

What are the climate facts on the ground?

The fact on the ground are that if the changes you are supposing to see are real they should be obvious. They should be something you can see, feel, hear and touch. That is where we are going right now!

If the world is warming up the paleo-climate data says that the polar regions warm first. That is what you are being told about arctic ice melting and sea level raise. If you go to the Denmark Polar Portal on the web you can get the data.

Greenland Ice Sheet is not Melting Away

Because these people have to comply with the IPCC they put in all kinds of disclaimers trying to keep you scared of melt down etc.. The reality is we are solidly into the melt season and the ice is not melting down more than usual.

Arctic Sea Ice Is Not Going Away

The polar ice is at normal levels. I can go on and on here but the reality is that there is no emergency.

Global Warming is Not Accumulating

The data from UAH which is technical showed from January 1995 to January 2023 the global temperature did not increase at all.  And from 2016 actually went down (-0.7C) . That isn’t some melting or Global Warming or some Climate Catastrophe. It just is not.

CO2 Is Rising But Far Below Its Optimum

Is CO2 rising it sure is and it isn’t even to the maximum level that occurred in the last maximum in the last interglacial period of earth. CO2 is not 1% it is 0.042%. The earth has thrived with maximum life at 1% CO2 there are no melt down periods.

Is the climate variable, You bet it is. We have seen in the last 2000 years it go up and down in temperature and we are actually near the bottom of that period. The reality is that we have been up to 10C warmer and guess what that time mankind did his very best. We don’t thrive on cold.

Warming Has Been Beneficial and More Would be a Good Thing

Now let’s look at the trends and in a way you never imagined. I have looked into this matter because Alabama where I live has a cute lovely vacation town called Orange Beach. I highly recommend Orange Beach for a vacation it is beautiful. Orange Beach was named in 1898 when the US Post Office (Now the USPS) opened a new post office there. The unincorporated town’s principal business was raising oranges commercially. Alabama used to raise oranges up to about Evergreen Alabama or almost to Montgomery Alabama the state capitol.

 Production of Oranges Limited by Freezing Temperatures in SE US

No commercial orange production exists in Alabama at this time. The reason is simple. The growing season in Orange Beach Alabama went from 365 days a year to 268 days a year. The orange trees froze out. Now they have new varieties that can grow in the colder weather but even they are severely limited in Alabama. The orange trees have frozen out almost to Orlando Florida now.

Orange beach would be right next to North Florida along the Gulf of Mexico. Literally Florida is just across the Perdido River from Orange Beach.

The Gulf Stream Makes Climate Change in the North Atlantic

The reality is the climate from 1898 to the present has gotten colder in the USA. This is significant to the whole earth for a very important reason.

You see the heat from the whole earth gets aimed directly at Alabama! We cool down so is the rest of the world. The whole circulation for the whole earth focuses on the Gulf of Mexico and Alabama.

This by the way is why Greenland has so much ice. You see it is the warm water from the Gulf Stream that generates the steam that freezes and comes down as snow. You have to make the steam to make the ice.

Sea Level Depends on Land Buoyancy, not CO2

Now on to sea level rise. First of all if you believe that the sea level is rising and such it is only reported to be rising in the order of the thickness of 2 US 5 Cent coins per year. So if you believe it is happening it is no emergency and no real problem. It isn’t worthy of losing sleep over. The stories of melting sea ice are silly. First of all even if they melt they will have absolutely no effect on the sea level because they are floating. But there is another thing these people don’t tell you about.

The sea level is not the product of the amount of water in the ocean. It is in fact the product of a large sum of buoyancy issues and the gravity of the earth. The continents are where they are because they have less gravity than the other areas. The seafloor is a zone of higher gravity. Because the continents are floating that means that their level above the sea is determined by the laws of buoyancy. If Greenland were to melt off, the resulting reality would cause the area to buoy up because it would weigh less. At the same time the water added to the oceans would simply sink the sea floor deeper.

Continents Can Sink to Form New Seas

But to illustrate this you must learn about the Great Rift Valley of Africa. That valley is a place where the base continental rocks have spread apart. The land is sinking there and has already sunk to form the Red Sea! A new ocean is forming in Africa. This is what has sunk the continental shelves of the continents. The edge of the continents tinned out and lost the thick granite below that floats on the magma and they sunk. So sea level is not in any way related to ice melting. Sea level is related to this continental buoyancy issue. So nothing in their story not melting ice nor rising seas is happening. But I will show you this in pictures because we have these now.

Many Coastlines Show Water Receding Rather than Rising

Tell me if you see any sea level rise in the past 246 years now. (None!)

[Since we are looking in New England:]

This is just about due south of London–Pevensey Castle.

It was started construction in about 203 AD. It was built right on the sea on a coastal island. Such a fort only has value as far as an archer can shoot an arrow. It guarded the entrance to Pevensey Bay. The bay doesn’t exist it is nearly 30 meters above sea level now. Lots of people just refuse to see them. The fort itself is 110 feet above sea level and 5/8 mile from the sea.

If it isn’t clear yet that you have been hoaxed into a panic I don’t know what I can do. I have shown you that it got colder not warmer. That the ice is not melting. That the seas are not rising. Shall I go on?

CO2 Is Plant Food not a Pollutant

How about the real truth of CO2 and what it is doing on our earth. Look at these pictures carefully they tell the truth beyond any possible doubt.

C3 photosynthesis plants are growing 800% better than they were. Our C4 plants are doing 650% better.

The whole earth is growing better and the forests are growing because of CO2. Sorry this isn’t a “doom and gloom” story here.

Wild fires are down too!

The fact is that in 1960 the world was running out of food because our plants and farms were at their limits. Today we are run over with food and 45% of our crop land has been turned back to the forests. We are not at the limits. This has led to an explosion of wildlife too!

Life is Thriving Not Facing Extinction

There literally is no mass extinction going on. We are in the largest bloom of life on earth that has been seen in the past 10,000 years.

The human race is on the edge of unlimited energy, unlimited food, unlimited technology and we are sitting here in terror of some imaginary doom and gloom hating the very system that is feeding mankind and building him up.

Everything is quite literally the opposite of what you are told!

In Sum;

The only catastrophe would be ill-advised climate policies willfully destroying
our energy platform and economic supply processes out of irrational CO2 hysteria.

 

Carbon Capture Boondoggle

John M. Contino explains in his American Thinker article The Contradictions of Carbon Capture.  Excerpts in italics with my bolds and added images.

In May, 2022, the Biden Administration announced a $3.5 billion program to capture carbon pollution from the air, and the money has been flowing copiously. A quick search on LinkedIn for companies engaged in Carbon Capture, Utilization and Storage (CCUS) projects will reveal dozens of companies, most of which are U.S.-based. They are well-staffed and generously funded with millions of up-front taxpayer dollars. [Note the bogus reference to plant food CO2 as carbon pollution.]

Summit Carbon Solutions does have its share of proponents — among them ethanol producers, heads of Chambers of Commerce, and politicians of all stripes from state and local governments. It’s one thing to dangle large sums of other people’s money to induce cooperation, but landowners are apparently being bludgeoned into submission with eminent domain.

The CCUS projects in the Midwestern faming states are all predicated on the continued, if not expanded, production of ethanol, because ethanol facilities present localized concentrations of CO2 that can be harnessed and disposed of more efficiently than merely sucking carbon dioxide out of the ambient atmosphere.

A Reuters article from March, 2022 reports that

The government estimates that ethanol is between 20% and 40% less carbon intensive than gasoline. But a recent study published in the Proceedings of the National Academy of Sciences found that ethanol is likely at least 24% more carbon intensive than gasoline, largely due to the emissions generated from growing huge quantities of corn [emphasis added].

The production of ethanol results in a net loss of energy: “Adding up the energy costs of corn production and its conversion to ethanol, 131,000 BTUs are needed to make 1 gallon of ethanol…[which] has an energy value of only 77,000 BTU.”

And let us not give short shrift to Power Density. In his 2010 book Power Hungry. The Myths of “Green” Energy and the Real Fuels of the Future, energy expert Robert Bryce compares the amount of the energy produced by various sources in terms of horsepower per acre, or wattage per square meter. An average U.S. Natural Gas Well, for example, produces 287.5 hp/acre. An Oil Stripper Well (producing 10 bbls/day) produces 148.5 hp/acre. Corn Ethanol comes in at a pathetic 0.25 hp/acre (pg. 86).

An Occam’s Razor approach to solving this problem would be
to shut down all the country’s ethanol production and
to not generate all that carbon dioxide in the first place.

Granted, the ethanol industry enjoys wide bipartisan support. But that doesn’t make it rational, or good for the country. Farmers receive substantial revenues by diverting an average of 40% of total corn yields to the production of ethanol. Why not just give that money to the farmers in exchange for them allowing 40% of their corn acreage to lie fallow? We might ask, facetiously, if we really needed all that extra corn to eat or export, why would our government prefer we burn it in our gas tanks?

Think of the savings:

♦  CO2 that would not be generated by growing and harvesting all that corn;
♦  water that would not be drained from our aquifers for irrigation; 
♦  salination of our topsoil that would be abated by not applying unnecessary nitrogen fertilizers; and
♦  most obviously, the absence of the need to capture and bury carbon from ethanol plants.

An advantage of ethanol is that it reduces greenhouse gas emissions (GHG). The Office of Energy Efficiency and Renewable Energy reports that a 2021 Argonne Labs study “found that U.S. corn ethanol has 44%–52% lower GHG emissions than gasoline.” Let’s say ethanol reduces GHG by 50%. So, a tankful of gasoline with 10% ethanol yields a net GHG reduction of only 5% (50% of 10%).

Another advantage of ethanol is jobs in rural areas. The National Corn Growers Association reported that “[I]n 2019, the U.S. ethanol industry helped support nearly 349,000 direct and indirect jobs.”

Even if those advantages were sufficient to maintain or expand the ethanol industry, it sounds almost farcical to ask:

♦  “what is the cost-benefit analysis of spending billions of dollars to capture and sequester the CO2 from those corn fermentation processes, and

♦  to what extent would all that CCUS actually benefit the planet?”

When a John Kerry or a Greta Thunberg utters Climate Change Disaster words to the effect of “the sky is falling, we’re all going to die!” they would have us believe that it’s trivial to worry about boring quantitative cost-benefit ratios and returns on investment when the entire planet is facing an imminent, existential threat.

The hyperbolic language of the climate change crowd has been wearing thin ever since Al Gore’s dire predictions from 2006 have inconveniently not materialized. It’s up to us to make the left realize they’ve overplayed their hand: they cannot ride roughshod over property rights whenever it suits them, just as they cannot force us to drink Bud Light if we don’t wish to do so.

 

 

 

 

2024 Election Will Be a Computing Contest

Jay Valentine explains how the election game will play out in his American Thinker article How to Out-Compute the Left.  Excerpts in italics with my bolds and added images.

In 2024 Republicans cannot “out-fraud” the left, cannot “out-ballot-harvest” them, cannot “out-lawfare” them, cannot “out-media” them, cannot “out–contribution mule” them, cannot “out–Justice Department” them…but sure as hell can out-compute them — and that may do it.

The left owns the election apparatus — voting equipment, ballot-manufacturing, vagrant habitats, election commissions, media intimidation of judges not to look at election fraud and driving out any lawyer who raises a valid case.

Electioneering, by both sides, currently runs 1970s technology.  Leftists make good use of obsolete relational tech; Republicans, not so much.

In 2024, there is an opportunity to out-compute the left. Here’s what it may look like.

Ninety percent of current election fraud comes in two buckets:
♦   election commissions jacking with voter rolls like Arizona and Wisconsin and
♦   mail-in ballots collected and illegally voted like everywhere.

Neither fraud bucket is thwarted by organizational solutions —
both can be stopped with real-time compute power.

Let’s define the terrain.  Twenty twenty-four election will be won or lost in six swing states.  In each swing state, 2024 will be won or lost based on fraud turnout in two or three counties.

The leader of the free world, the end of the Deep State, for many the future of America as they have known it depends on about 17 counties. Remember — two types of fraud — voter commissions and phantom ballots.

The problem comes into focus.

Let’s start with fraudulent election commissions — at the state and county levels.

Sketchy election commissions know they can modify voter rolls when mail-in ballots go out by

 ♦  changing ZIP codes (Arizona),
♦  adding a fake street (Florida),
♦  putting hidden characters in voter IDs (Wisconsin),
♦  creating an inventory of nice unvoted mail-in ballots gathered by the U.S. Postal Service (Illinois and Wisconsin) given to leftists — for a fee.

Current relational technology is blind because of database latency.

In one Republican state, our team found 41,000 voters changed from inactive status to active, voted, then changed back. In Arizona, 107,000 changes, plus 22,000 new voters added in one county alone — days before the 2022 election.

Real-time changes all the rules — it just needs to be applied before the election, not as a data autopsy afterward (Arizona).

In 2024, in 17 counties, let’s do real-time voter registration analysis beginning six months before the election.  Download daily, weekly, or monthly copies of voter rolls. Compare every voter roll with every other, showing every change. Were large numbers of addresses changed? Were thousands of new voters added 90 days before early voting from ineligible addresses (Houston)?

Ineligible? Who determines?  Good question, dear reader.

With relational technology, someone must knock on the door and ask if Phineas lives there. When told, “No, never heard of him,” the canvasser fills out an affidavit, goes to the judge. Nothing happens.

With real-time super-compute, our pal Phineas’s address is cross-tabbed with the county property tax records. They show 11 people registered in his 823-square-foot house, and the county health department says “no-no” to more than four people per 500 square feet. Seven fake voters just got busted.

The voter integrity types will tell you nothing can be done; we hear that all the time. But you are not dealing with their SQL limitations. Real-time gives you choices because you see this fraud before the election — before votes are cast.

Sit down with the county registrar. Pull out your tablet showing that on her voter list, there’s a phantom nest.  You are not saying it. The tax records — government dox — say it.  Look her in the eye and say, “Phyllis, we both know these addresses are ineligible. Your health department says so. We are taking this list to the sheriff. If people here are mailed a ballot, we will report you for a criminal violation.”  Sound harsh? It does. It also works.

Chat with the team in Wisconsin who almost single-handedly shut down 40% of the phantom vote in 2022 — helping a U.S. Senate squeaky win. They showed the phantoms, identified with real-time Fractal technology, to registrars — with a smile.

When you have better technology than the government,
the government hesitates.

This one step, alone, will reduce leftist fraud by 30 to 40%. It is unrecoverable. Leftists need fraudulent voter roll changes to impact their numbers — if they miss these quotas, there is no way to make them up.

Shut down election commission fraud, via real-time visibility, and you just cut election fraud in 17 counties 30–40%. In Arizona, Kari Lake would now be governor.

We’re not done.

Now for the phantoms.

There are several kinds of phantoms.

One type signs a voter registration application at the leftist church, the homeless shelter, the gas station and never votes. She may be dead in a tent on an Austin street. Who knows? Leftists do not care; they have a forever voter.

Another phantom is a not-too-interested person who registered, lives in a house, but does not vote because it is useless, an effort or a distraction. She is the “I don’t care” voter. Leftists have a ballot and voter for her.

There are phantom ballot, not people, collection points.

A large urban apartment building has a mail room, where hundreds of mail-in ballots collect because nobody cares to open them. There is no check inside.

As the junk mail gets tossed, ballots accumulate. They aren’t collected by Ronna’s Kiwanis Club Republican county chairman — he’s on the golf course. They are collected by a vagrant, paid $25 for each mail-in ballot in that trash can. They get voted while Ronna is ballot-harvesting in densely Republican churches.

Real-time compute makes this a game two can play.

With the Undeliverable Ballot Database, it can be determined where almost every ballot collects. Skip Ronna; send a kid to that mail room and have him pick up those ballots, and give them to the sheriff — noting they were in the garbage!

Do you think this just might be more effective than Republican ballot-harvesting at evangelical churches who are going to vote anyway?

Leftists made huge, 40-year investments in corrupting voter commissions,
getting their team on board, building phantom armies
they could vote when needed.

Unfortunately for them, their fraud is dependent on 1970s relational database — its limitations, its latency, its clumsy use by Republicans.

Real-time changes the outcomes.

Every address in every county, certainly in 17, can be profiled in excruciating detail — square feet, year built, number of baths, bedrooms. Voter roll changes can be seen the moment they are augmented by helpful leftist voter commissions.

Challenges happen now — before the election — publicly — not months afterward, when nobody cares.

In 2024, the goal is not to stop voter fraud. Stopping fraud will take years.

Super-compute can reduce fraud by 40% or more — and that is more than enough to stop leftists who are stuck on relational technology.

The most significant confrontation on North American soil since Gettysburg will happen in 2024. Super-compute can determine who has the high ground.

Comment:  It is a contemporary twist on a well known election truth: