COP29: Azerbaijan

Figure 1 – Map of Azerbaijan (Source: CDC)

If I were president-elect, with the same results and history as President-elect Trump, I would have taken a short working vacation to Baku, Azerbaijan, where COP29 has just opened. As the map above shows, it sits between Russia and Iran. Regardless of the COP29 focus on climate change, which would likely not play a role in his attraction to the event, if he were to take advantage of the location, it could potentially set him up as a world savior. Right now, the heads of state of the most carbon-emitting countries, are skipping the conference:

BAKU, Azerbaijan — World leaders are converging Tuesday at the United Nations annual climate conference in Baku, Azerbaijan although the big names and powerful countries are noticeably absent, unlike past climate talks which had the star power of a soccer World Cup.

But 2024’s COP29 climate talks are more like the International Chess Federation world championship, lacking the recognizable names but big on nerd power and strategy. The top leaders of the 13 largest carbon dioxide-polluting countries will not appear. Their nations are responsible for more than 70% of 2023’s heat-trapping gases.

I am certain that Trump’s presence would have changed that. President Biden is not participating, probably for the reason that after the November 5th election, his participation likely wouldn’t have made a major impact. President Putin is skipping too, although Russia is attending with a large delegation and was instrumental in choosing this location for COP29. Iranian President Masoud Pezeshkian will take part in the conference although the trip recently invoked bitter memories:

On 19 May, a helicopter carrying Iran’s president, Ebrahim Raisi, crashed in the north-western province of East Azerbaijan. Raisi, 63, was killed, along with Foreign Minister Hossein Amir-Abdollahian and six others including the East Azerbaijan governor and Tabriz’s Friday prayer leader. They were returning from a trip to the Iran-Azerbaijan border, where they had inaugurated a dam alongside the Azerbaijani president, Ilham Aliyev.

As I am writing this blog (Thursday, November 14th), it is likely that President Zelensky of Ukraine will participate. Prime Minister Netanyahu from Israel will not attend, although the President of Israel will. The attendance of President-elect Trump would have probably changed much of that participation. It would have also given a big headache to Azerbaijan in terms of securing the place. The part that would have most likely interested Trump would be Azerbaijan’s history—specifically, the country’s government after it declared independence from the Soviet Union (1991) (more about this later).

One can find reminders about the COP system by putting it into the search box of this blog or just glancing at the last paragraph of last week’s blog. In the context of President-elect Trump, everybody is going back to the start of his first term, in which, shortly after his inauguration, he took the US out of the Paris Agreement (See “The Paris Commitments and What to Expect,”  March 14, 2017). Our country’s commitment to the Paris Agreement was reinstated immediately after President Biden won the presidency in 2020. Many expect a repeat of the scenario with different participants. A trip by President Trump to Azerbaijan would have given him ownership of the process and maybe helped him keep Elon Musk in his orbit. We will probably start to see a separation between the two once Trump’s policies begin to to hit Tesla or Musk’s other business interests.

The last two COP meetings (28 and 29) took place in what many call petrostates. The paragraph below from the UNFCCC page describes the selection process:

Regional group members hold consultations to determine which country from their region will make an offer to host a conference. The host country of the COP normally rotates among the five United Nations regional groups (The African Group, the Asia-Pacific Group, the Eastern Europe Group, the Latin American and Caribbean Group (GRULAC) and the Western European and Others Group (WEOG)). Once agreed, the country selected by the regional group to host the conference sends, through its regional group, its offer formally to the UNFCCC secretariat. The COP considers the offers and adopts a decision, usually titled “Dates and Venues of Future Sessions”, accepting the offer. The secretariat then undertakes a fact-finding mission to the prospective host country to determine that all “logistical, technical and financial elements for hosting the sessions are available” and reports back to the Bureau, early at the start of the year.

The nature of the main exports of the two countries that were selected to host COP29 and COP28 in their largest cities, Baku (Azerbaijan) and Dubai (UAE) are shown in Figures 2 and 3.

Figure 2 – Azerbaijan products export (Source: Wikipedia)

Figure 3 – UAE (United Arab Emirates) products export (Source: Wikimedia)

At the beginning of COP29, we can best summarize the transition between the two conferences by looking at the final decision (which must be accepted unanimously) of COP28 and the opening speech of COP29 by the President of Azerbaijan, Ilham Aliev.

The final agreement of COP28 was referenced and partially quoted in an earlier blog titled “COP28 Conclusions” (December 19, 2023):

The focus of most of the media was on the last two paragraphs, which emphasize the inclusion of language that many interpret as the “start of the end” of reliance on fossil fuels. This is especially notable because it was expressed at a global conference in a petrostate, presided over by the head of its national oil company.

The reference to the full concluding document (labeled as “Draft”) was posted in

(Outcome of the first global stocktake. Draft decision -/CMA.5. Proposal by the President).

An important part of President Aliev’s welcome to the COP29 meeting is cited below:

Now, a couple of words I’d like to say about another segment of energy security, which is oil and gas. I understand that this topic is not very popular at a climate change conference, but without that, my comments would not be complete. Just to begin with information, the world’s first industrial oil well was drilled in Azerbaijan, in Baku, in 1846. It is situated not far from this place. Maybe it may take a 10-15 minute drive. The first offshore oil well was also drilled by Azerbaijani oilmen in the Caspian Sea in the middle of 20th century. In the 19th century, Azerbaijan produced more than half of the world’s oil.

If, then, some Western politicians and media called us a petrostate, that would probably have been acceptable. But when they call us a petrostate now, today, this is not fair, and it only demonstrates a lack of political culture and knowledge. Today, Azerbaijan’s share of global oil production is 0.7%, and its share of global gas production is 0.9%. But the fake news media of the country, which is the number one oil and gas producer in the world and produces 30 times more oil than Azerbaijan, calls us a petrostate.

They had better look at themselves, or at least at their neighbor, which produces 10 times more oil than Azerbaijan. Azerbaijan’s share in global gas emissions is only 0.1%. I have to bring these figures to the attention of our audience because right after Azerbaijan was elected as the host country of COP29, we became the target of a coordinated, well-orchestrated campaign of slander and blackmail.

Western fake news media, so-called independent NGOs, and some politicians seemed to be competing in spreading disinformation and false information about our country. To accuse us of having oil is the same as accusing us of having more than 250 sunny days a year in Baku.

Countries should be judged by other criteria. For instance, the level of unemployment in Azerbaijan, it is 5.4%, the level of poverty, it is 5.2%, our green agenda—I have already described our plans – how countries manage their foreign debt – in Azerbaijan, it’s only 7.5% of GDP.

These, along with many other important criteria, should serve as the basis for evaluating the country’s performance, rather than its natural resources, which are a gift from God. I said this several months ago, and now those who want to attack me, particularly the international media, simply quote me saying that this is a gift from God.

And I want to repeat it here today: it is a gift from God. Every natural resource, whether it’s oil, gas, wind, sun, gold, silver, copper, they are all natural resources. Countries should not be blamed for having them, and should not be blamed for bringing these resources to the market because the market needs them. The people need them. So, this is my message. As the President of COP29, of course, we will be strong advocates for the green transition, and we’re doing it, but at the same time, we must be realistic.

The combination of Ilham Aliev and Donald Trump is not reassuring. In the next blog (or more) I will try to describe the present state of the world in terms of the energy transition so we can prepare to quantify the activities of the new leadership in this area. Frustration among environmentalists is now spreading fast when it comes to the recent changes in global leadership and the resulting shifts in global efforts to mitigate climate change. Future blogs will try to follow the details.

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Resilience

Figure 1 – 2024 Senate election results as of November 12th, 4:32 pm, ET

Last week’s blog promised to discuss geographic trends in America’s election in terms of a strive to increase the entropy of the system (see last week’s blog). Like many of you, last Tuesday night, I was glued to the TV screen, following the evolving map of the election results. Almost from the beginning, the trend became transparent. The focus was on the swing states but the data from states that had finished counting was quickly compared to the 2020 elections. The shift from blue to red based on these comparisons was almost always unidirectional – from blue to red. Almost every group with a previous concentration of up to 70% Democratic votes lost votes to Trump.  These shifts move slowly from a very high concentration toward average, and the balance determines the final result. The NYT did a quantitative analysis of these trends by character and state, including cities and suburbs, the rural-urban divide, race and ethnicity, educational attainment, economic types, and age and across the country.

Figure 2 – Shifts in vote margins as of Friday

Perhaps the most striking examples are the choices of voters with Muslim and/or Palestinian backgrounds and Jewish voters. Many in both groups moved toward Trump at least partially because of Biden’s current American policy in the war in the Middle East. There is very little chance that both groups will be satisfied with Trump in power. As the NYT explains, right-leaning Jews look back at his support for Israel during his first term and hope for a continuation while many Muslims hope that his policy will be different (and better) than Biden’s.

Ex-President Trump had a decisive win on all levels. As of yesterday, the House count had yet to finish but it already had a strong Republican-leaning trend. Winning the House vote would give Republicans control of the Legislative and Executive branches of government, meaning that Trump and the Republican party would reach the desired Trifecta. President-elect Trump also decisively won the popular vote (75.5M to 71.9M as of this posting). Combining that with the present Conservative control of the Supreme Court that was achieved during Trump’s first term, he would have the rarely-achieved control of all three branches of the US government, and the ability to do what he wishes.

Yet in this blog, I will try to make the point that the American Constitution constructed the American government in one of the most resilient ways that can be imagined and that President Trump will have only two years to prove that he deserves the country’s confidence. If he fails, he will be paralyzed from further changes, and unable to prolong his rule because of the two-term limit in the presidency. It will also mean the likely removal of the Republican party from the Legislative branches of government (removal from the control of the Supreme Court will be more difficult). Anyone opposed to Trump’s policies has to learn to be patient and carefully plan how to open the door for a transition. President-elect Trump figured out that the best way to counter all the criminal and civil charges that have piled on him after 2020 was to win back the presidency in 2024. The first step in the strategy to achieve this objective was to stretch the judicial procedures beyond November 2024, which he did successfully. Now it is his opposition’s turn to strategize to stop the parts of his policies that they don’t like. In 2026, the election should focus on the continuation of Trump’s policies without Trump. This should be a winnable terrain for Trump’s opposition.

The first issue to address is what president-elect Trump promised to accomplish if elected:

Immigration – “seal” the southern border, and launch what he calls “the largest deportation program in American history,” invoking the Alien Enemies Act of 1798.

Abortionveto a federal abortion ban but allow each individual state to restrict the procedure as it wishes.

Economy – “end inflation” and plans to pass what he calls “historic” tax cuts for workers and small businesses. He said this will include no tax on tips, no tax on overtime, no tax on Social Security benefits and a tax credit for family caregivers who take care of a parent or loved one Trump said he will work with tech mogul Elon Musk to eliminate “every single” federal regulation that he says raises prices and kills American jobs. And on the topic of regulations, Trump has promised to end 10 federal regulations for every new one created. Trump has also promised that under his administration, there will be no tax on the first $10,000 of costs associated with education for parents of children who are homeschooled. Trump has promised American companies will get “the lowest taxes, the lowest energy costs, the lowest regulatory burdens, and free access to the single best and biggest market on the planet.”

In September, Trump called for reinstating the state and local tax deduction, commonly known as SALT. In 2017, Trump signed the legislation that capped the previously unlimited federal deduction at $10,000 per filer. The policy hit people in blue states the hardest. Even though Trump signed that measure, he has pledged to undo it.).

Environment – For cars made in the United States, Trump said he will make interest on car loans fully tax-deductible. He said he will terminate an electric vehicle rule published by President Joe Biden’s administration in March that makes EVs more available and affordable over the next several years and makes it more difficult for gas-powered cars to keep up with an increasingly stringent Environmental Protection Agency’s standard. Trump also wants to, once again, withdraw from the Paris Agreement, a major international climate treaty.

Foreign policy – He will end Russia’s war in Ukraine within a day. stop “the chaos” in the Middle East and prevent “World War III.”.

Cultural Wars –“On Day 1, I will sign a new executive order to cut federal funding for any school pushing critical race theory, transgender insanity, and other inappropriate racial, sexual or political content onto the shoulders of our children,” Trump has said. “And I will not give one penny to any school that has a vaccine mandate or a mask mandate.” Trump said he wants to “get rid” of the Education Department as it currently exists and allow each state to individually “handle education,” as he put it.

Retaliation- Prosecute and jail anybody who went after him during the four years that he was out of power

All of that (even some of that) will take time. Let us figure out how much time the president-elect has. The details are derived from the governance outlined in the US Constitution.

The principle is simple:  presidents are elected for four years, with a maximum of two terms. Senators are elected for six-year terms and congressmen for two-year terms. There are no federal term limits for senators and congressmen. In 1992, California passed a term limit that never materialized because it was not approved by the Supreme Court. The counts as I write this (Friday, November 8th at 3pm) are: House – 201 Democrats and 212 Republicans. 218 are needed for a majority. Senate – 52 Republicans and 44 Democrats. 50 are needed for the majority. Between 33 and 34 senators are elected every 2 years. So, although every senator has a tenure of 6 years, the rotation means that a majority of the Senate is running for election every 2 years. This is especially important because majorities are almost always much smaller than the number of senators elected every 2 years. As the map at the top shows, most of the senators that need to be elected or reelected are from red states. The reverse was the case in the 2024 election.

So, if President Trump and the Republican Congress do not perform as promised, the American people can reject congressional majorities in 2 years and leave the president to govern through executive orders that can be nullified in 4 years by a new president.

One of the major issues in this election was the presumed danger that the other guy’s election might destroy our democratic system. One can find a short history of democracy on Wikipedia. It shows that the American Constitution established one of the earliest modern democracies. However, democracies, in one form or another, became the leading mode of government only after the dismantling of the imperial systems following WWII. The universal participation of adult citizens in selecting the American government only reached its full scope after the ratification of the 19th Amendment, which secured women’s vote. Another key event in the process was the ratification of the 14th Amendment after the Civil War. The sequence of these ratifications is summarized below:

The American Constitution – ratified in 1788

The 14th Amendment – ratified in 1868

All persons born or naturalized in the United States, and subject to the jurisdiction thereof, are citizens of the United States and of the State wherein they reside. No State shall make or enforce any law which shall abridge the privileges or immunities of citizens of the United States; nor shall any State deprive any person of life, liberty, or property, without due process of law; nor deny to any person within its jurisdiction the equal protection of the laws.

The 19th Amendment – ratified in 1920

The right of citizens of the United States to vote shall not be denied or abridged by the United States or by any State on account of sex. Congress shall have power to enforce this article by appropriate legislation.[1]

My favorite take on the main value of the democratic system is Karl Popper’s book, The Open Society and its Enemies. As Wikipedia summarizes it:

 Popper advocates for direct liberal democracy as the only form of government that allows institutional improvements without violence and bloodshed.

To my knowledge, the only exception to this rule within the confines of American presidential elections was the Trump-inspired attack on Congress on January 6, 2021, when Trump lost his 2nd term election bid to Joe Biden.

What to do?

What president-elect Trump promised to accomplish, based on which he got the decisive public support to lead the US over the next four years, was summarized earlier. The objective should be to give him a chance to govern productively and follow closely the impacts of his actions on all of us. Two years from now, our collective job is to vote for a Congress that will either continue to support him or try to freeze him. The next presidential election is four years away. The additional advantage that the Constitution left us with is the federal nature of the US. The roles of the individual states and the federal government are clearly stated. The advantages and disadvantages of the separation of power are already visible in the present attempt to adjust to Supreme Court’s decision to end Roe vs. Wade and remove abortion decisions from mandated constitutional protection. Many blue states are now busy in discussions over Trump-proofing as much as possible before his inauguration.

The first test exploring and navigating Trump’s governance started yesterday. Monday marked the start of COP29 in Baku, Azerbaijan. The COP (Conference of the Parties) annual series  of international meetings (this will be the 29th meeting) are organized through UNFCCC (United Nations Framework Convention on Climate Change). This blog has covered these conferences since I started it. For COP28, go to the December 12, 2023 blog. For reference, one of the first environmental actions that President Trump took after his inauguration in his first term was to take the US out of the Paris Agreement that was created during COP21. One of the first things that President Biden did after his inauguration was to rejoin the agreement. It is logical that President Trump will be consulted on any agreement that will be negotiated in Baku.  President-elect Trump devoted many of his objections to the energy transition that is now taking place to mitigate climate change. He especially objected to the shift to electric cars that is now taking place. However, Tesla, the largest manufacture of electric cars, is led by Elon Musk, who became one of the most vocal supporters and probably the largest funds provider to the president-elect. We’ll see if that changes his outlook. Meanwhile, COP29 should be the first stage to examine how or if Trump’s dynamics on environmental issues have changed.

In the next few blogs, I will try to focus on COP29 and its implications.

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Election Day Observations

This blog will be posted on Election Day, which marks the end of the election period. It is estimated that more than half of voters had already cast their vote before today. This evening, I and many million others will be glued—probably not to our televisions but to our mobile phones, checking the trending results. Today’s blog, and probably next week’s, will try to understand two key elements of the process that we are all going through. The first issue is the role of gender and college education in the process and the second issue is the dynamics of the spatial distribution of the electorate.

A recent article in the New York Times (NYT) piqued my interest in the role of gender and college education. The article was based on a Pew Research survey of US adults conducted from September 30 to October 6, 2024 which polled different voting groups and came out with the following result (in percentage differences):

Non-college-educated men – Trump +16

Non-college-educated women – Trump + 4

College-educated men – Harris +7

College-educated women – Harris + 27

Below is a key paragraph from the NYT about these numbers:

We are truly looking at two different Americas when we dig into the views of men without college degrees and women with college degrees. They are at opposite ends of the spectrum politically and experience essentially separate economies, and therefore give priority to distinct sets of character traits and issues.

The NYT article says these results describe the behavior of two different countries: non-college-graduate men and women college graduates. The numbers indicate relative polling numbers but not the impacts these groups will have on final results. The impact on the final results can be estimated from the weight of these two groups in the general voting population. We can get an approximation of the total numbers from the labor force estimates from the same Pew source shown in Figure 1. The total number of eligible voters in the US 2024 election is 186 million. The voting percentage in the last presidential election (2022) was 66%, which amounts to 124 million voters. The number of the labor force described in Figure 1 is 144 million. If the trends described above are representative, putting these numbers in, we get the following split:

Non-college-educated men – Trump – 7.5M

Non-college-educated women – Trump – 1.5M

College-educated men – Harris – 2.1M

College-educated women – Harris – 8.5M

The net difference is 1.6 million in Harris’ advantage. This kind of estimate is no better than the rest of the polling that was addressed in last week’s blog. However, if schools want to have an impact on the political environment, it might well be more effective for their survival and that of the country to enhance recruiting efforts in populations where they currently have minimal impact.

Figure 1 (Source: Pew Research Center)

The second issue that I will address in this blog is the dynamics of the spatial distribution of the electorate. I have tried to address this issue in previous blogs that, like this one, were posted in close proximity to previous presidential elections. I posted two good examples back to back following Ex-president Trump’s first election win in 2016.. The first one is titled “Election and Urbanization” (December 6, 2016), and the second one is titled “The Urban/Rural Voting Split: a Global Perspective (December 13, 2016).

Figure 2, taken from the December 6th blog (the original reference is posted there), shows how voting depended on population density in the 2012 presidential election. Figure 3 shows the actual distribution in the state of Pennsylvania (the largest swing state in the present election) in the most recent 2020 election.

Figure 2 (From the December 6, 2016 blog)

Figure 3 – The Pennsylvania 2020 voting distribution (Source: Reddit)

We clearly see the Democratic blue distribution on the Eastern part of the state dominated by Philadelphia and the dominant red in the rest of the state, with blue islands in cities such as Pittsburgh, Allentown, Reading, Erie, and Scranton.

Until recently, The global and US trends showed most of the population movement flowed from countrysides to urban areas. Figure 4 shows the recent trend in the US. Based on these trends, one might think that the Democrats would be certain to win all the coming elections.

Figure 4 – Evolution of US urban/rural populations (Source: UN)

However, recent trends in the US show a reverse in movement. Figure 5 shows recent movements from big cities such as NYC, LA , San Francisco, Chicago, Boston, and Miami to less populated areas. The next blog will try to explore this development and connect it to the concept of entropy (just put the word in the search box to reintroduce yourself to our previous uses of the concept).

Figure 5 – American interstate movements (Source: NYT)

 

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Vote!

Today is exactly one week before election day (Tuesday, November 5th). Election Day comes at the end of an intense election period. Early voting has become a norm. Chances are that by the time this blog is posted, two more voting stickers will be added to my front door (shown above). I don’t live in a swing state; nevertheless, like you, I am constantly bombarded with ads and polls that I could live without. I am also aware that there is a high probability that after November 5th, this pre-election bombardment will be replaced with a post-election bombardment about legal battles.

All of this reminds me of semester-end final exam periods (I am a teacher). Teachers generally want students to be successful in final exams. There are two ways to achieve that: either make the exam very easy or try to teach students useful hints for understanding and remembering the material that was covered in the semester. I am an advocate for including past final exams as an appendix to the syllabus so when students register they have an idea of what to expect. It also means when these courses are evaluated, the final exams act as references for their difficulty level. In terms of preparation for these exams, only the second option remains – try to teach students how to succeed in a “real” final that actually reflects the covered material. The first tip that I have is that students should spend time reading the question (instead of automatically “dumping” what they remember about the topic).

Back to polling the coming election: the big difference between finals and polling is that final exams are about material that was covered in the past semester, while polling is almost always about the future. So the pollsters “pass” or “fail” the polling “exam” after the real results are posted.

Figure 2 – Poll “fails” (Source: Pew Research Center)

Reading the questions carefully in an exam is equivalent to carefully formulating polling questions that encompass all of the relevant issues. Two examples from a reputable pollster are given below:

  • In general, are you satisfied or dissatisfied with the way things are going in the United States at this time?
  • In politics, as of today, do you consider yourself a Republican, a Democrat or an independent? (If independent)Do you lean more to the Democratic Party or the Republican Party?

To get more questions, the site wanted me to create a sign in, which I refused to do. For more questions I went to Ipsos, whose polls you can see in Figure 2.

Figure 3 – Polls from Ipsos

CNN’s questioning shows some of the confusions about polling, and how polls can be misleading:

Former President Donald Trump should be running away with this election given how few people think the country is heading in the right direction.

Instead, Trump and Vice President Kamala Harris are neck and neck in the polls. Now, it’s not clear whether Harris can continue to win over so many voters who think we’re heading in the wrong direction. What is clear is that Harris would need to defy certain fundamentals if she wants to win next month, and recent history suggests she has a shot.

Yet, Democrats defied the midterm trends, keeping their House losses to single digits, expanding their Senate majority and picking up governor’s seats.

Arguably the two biggest factors that allowed Democrats to do so well are still present today: Trump and abortion.

Why the CNN pollsters thought that Trump and abortion should be separate questions from “The country is headed in the wrong direction” is beyond my comprehension. The only reason that I can think of is that the pollsters wanted to compare answers to previous polling where these issues didn’t exist.

Pew Research has the full picture of the 2024 polling environment. It also has a helpful FAQ.

David Brooks from the NYT has a different take on the recent presidential elections in the US. He blames the close polling results on negative advertising. He might be right.

Two big things baffle me about this election. The first is: Why are the polls so immobile? In mid-June the race between President Biden and Donald Trump was neck and neck. Since then, we’ve had a blizzard of big events, and still the race is basically where it was in June. It started out tied and has only gotten closer.

We supposedly live in a country in which a plurality of voters are independents. You’d think they’d behave, well, independently and get swayed by events. But no. In our era the polling numbers barely move.

The second thing that baffles me is: Why has politics been 50-50 for over a decade? We’ve had big shifts in the electorate, college-educated voters going left and non-college-educated voters going right. But still, the two parties are almost exactly evenly matched.

This is not historically normal. Usually, we have one majority party that has a big vision for the country, and then we have a minority party that tries to poke holes in that vision. (In the 1930s the Democrats dominated with the New Deal, and the Republicans complained. In the 1980s the Reagan revolution dominated, and the Democrats tried to adjust.) But today neither party has been able to expand its support to create that kind of majority coalition. As the American Enterprise Institute scholars Ruy Teixeira and Yuval Levin note in a new study, “Politics Without Winners,” we have two parties playing the role of minority party: “Each party runs campaigns focused almost entirely on the faults of the other, with no serious strategy for significantly broadening its electoral reach.”

A different perspective was expressed by one of the most respected pollsters in a recent article in the NYT: “Nate Silver: Here’s What My Gut Says About the Election, but Don’t Trust Anyone’s Gut, Even Mine.” The two short paragraphs that start his article are given below:

In an election where the seven battleground states are all polling within a percentage point or two, 50-50 is the only responsible forecast. Since the debate between Kamala Harris and Donald Trump, that is more or less exactly where my model has had it.

Yet when I deliver this unsatisfying news, I inevitably get a question: “C’mon, Nate, what’s your gut say?”

In the following paragraph in the article, Silver tells us what his “gut feeling” is. Almost all of us have “gut feelings.” Often, they correspond to either our hopes or our fears. We would better to not trust our gut feelings and to instead go and vote our wishes. Regardless of the political environment, too much is at stake in our collective future to sit this one out. Be part of the decision and vote!

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Nuclear Waste

(Source: The Naked Scientists)

I started last week’s blog with the following two sentences:

The last few blogs have alternated between descriptions of AI—with its environmental impacts—and the upcoming elections. On a more abstract level, both issues represent key features of our reality: the elections are part of the short term and AI is longer term.

My emphasis was on the role of AI in the recent Nobel Prizes in Physics and Chemistry. Since election day (November 5th) is getting closer and outcome predictions have become indistinguishable from guesses, the link between long term and short term can appear to be cyclical.

This blog focuses again on the link between the energy cost of AI that was raised by Sonya Landau’s question (see the September 10th blog) and the coming elections. The October 8th blog mentions the recent developments needed to satisfy the huge amounts of energy needed for AI. Microsoft is now resurrecting the infamous Three Mile Island nuclear reactor to help satisfy the power need and it’s not alone. Google is following the same track:

Google is the latest big player in artificial intelligence that will turn to nuclear power as a means of meeting the heavy energy needs of data centers.

The company has reached an agreement with Kairos Power that will provide “a path to deploy a U.S. fleet of advanced nuclear-power projects” amounting to 500 megawatts by 2035.

Kairos Power plans to develop, construct and run multiple nuclear-reactor plants through purchase-power agreements. The company, which is headquartered in Alameda, Calif., expects its initial deployment in 2030 as it works to power Google data centers.

The trend has now become visible in the stock market return as well:

Nvidia shares gained 145 percent this year through September, compared with 208 percent for Vistra. Another utility, Constellation Energy, the largest nuclear power operator in the United States, follows close behind, with a return of 122 percent.

When I wrote about the Microsoft deal on Three Mile Island, I also wrote about my personal reluctance to rely on nuclear power to satisfy an increased need for electric power. My reasoning had to do with the potential for a major increase in global nuclear power to also increase the spread of nuclear technology for military use. I wrote in that blog that the additional threat of a major increase in long-lasting nuclear waste is one that can be controlled. Apparently, I was wrong.

In the past, I had direct involvement in the treatment of nuclear waste. I described this involvement in a previous blog titled “Playing for a Better Future” (January 17, 2017):

A few days ago I revisited the nuclear waste issue when I watched a PBS program. Most of the material was familiar however I almost fainted when I heard about an aspect about which I was totally ignorant – WIPP (Waste Isolation Pilot Plant). There is a site in Carlsbad, New Mexico that already has a license to store radioactive waste provided that one “minor” condition is fulfilled: Markers should be placed there that will be functional 10,000 years from now to warn whatever civilization may come next not to trespass on the site due to the risk of exposure to the deadly radiation. A large, multidisciplinary group was assembled there to try to figure out what kind of civilization will be around then so as to tailor make said warnings. We are already spending big money on a distant future 10,000 years from now to warn our descendants or extraterrestrials of damage that we are inflicting now. It’s not out of line to broaden the scope for damage that most of us consider existential within the lifespan of our grandchildren.

To put it into perspective, January 17, 2017 was three days before the inauguration of President Trump. That blog summarized my understanding at that time that the issue was “solved.” As I said, I was wrong.

A recent revisit of the issue led me to an article in a Texas local paper with the following highlight:

The U.S. Supreme Court has agreed to take up a yearslong dispute over a plan to ship highly radioactive nuclear waste to rural West Texas, a case that could have sweeping implications for how the nation deals with a growing stockpile of waste generated by nuclear power plants.

A company called Interim Storage Partners has long pursued the plan to move “high-level” nuclear waste from power plants across the nation to an existing nuclear waste storage facility in Andrews County, on the Texas-New Mexico border.

Last year, in a Texas-led lawsuit, a federal court blocked the plan and threw out Interim Storage Partners’s federal license to handle the waste. A federal appeals court upheld the decision earlier this year, but the company and the Nuclear Regulatory Commission urged the Supreme Court to reconsider the ruling.

The high court agreed to take up the case on Friday, Oct. 4., allotting one hour for oral arguments at a later date. The court also consolidated a related challenge from the waste company into the Texas case.

The composition of the Supreme Court now is the product of Trump’s 1st presidency (he nominated three of the judges). A valid question is how Trump’s win in November would impact the Supreme Court ruling and what the federal government’s position on the issue would be.

The topic at hand here is not only nuclear waste, but it also extends to all regulatory climate policies. California started an effort to create “Trump proof” regulations, based on what was learned from Trump’s 1st presidency. I have no idea if these contingency plans already include long-term storage for nuclear waste; there is very little time until January 20th so if not, they should start on it now.

California officials have been working for months on a plan to “Trump proof” the state’s leading edge environmental and climate policies, in the event that former President Donald J. Trump returns to White House and follows through on his promise to gut them.

Whether California succeeds could affect more than a dozen other states that follow its emissions rules, and could have global impact because the state’s market muscle compels auto makers and other companies to conform to California standards.

The strategy now being crafted in Sacramento includes lawsuits designed to reach wide-ranging settlements with industries that generate greenhouse gases, and new rules and laws that rely on state authority and would be beyond the reach of the administration.

State-of-the-art nuclear waste management toward the end of the 20th century was discussed in the symposium below (You can read the full proceedings here):

Scientific Basis for Nuclear Waste Management XVI

Symposium held November 30-December 4, 1992,

Boston, Massachusetts, U.S.A.

EDITORS:

C.G. Interrante

U.S. Nuclear Regulatory Commission

Washington, DC, U.S.A.

R,T. Pabalan

CNWRA, Southwest Research Institute

San Antonio, Texas, U.S.A.

IMTRISI

MATERIALS RESEARCH SOCIETY

Pittsburgh, Pennsylvania 

My group’s contribution, in collaboration with a local DOE scientist (Albert Kruger), was part of this symposium:

In-Situ Electrochemical Characterization of Grouted Radioactive Waste 291. Albert A. Kruger, Jingyan Gu, and Micha Tomkiewicz.

Recently, a new concept has started to emerge: micro and nano nuclear reactors that could be spread everywhere. While there is a lot of excitement over this technology, most articles don’t mention the nuclear waste these reactors put out. There are, however, some studies that look into it:

Stanford-led research finds small modular reactors will exacerbate challenges of highly radioactive nuclear waste|StanfordReport

Argonne releases small modular reactor waste analysis report | Argonne National Laboratory

Micro Nuclear Reactors Can Help Solve the Climate Crisis – Bradley Newsad |Lewis & Clark Law School

Mini nuclear power stations may produce more waste than large ones |NewScientist

In Charts: Will small modular reactors drive nuclear growth in 2024? | SustainableViews

The French government has apparently invested heavily in the technology, so stay tuned to see what happens.

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The Nobel Prizes in Physics and Chemistry

(Source: Unifying Quantum and Relativistic Theories)

The last few blogs have alternated between descriptions of AI—with its environmental impacts—and the upcoming elections. On a more abstract level, both issues represent key features of our reality: the elections are part of the short term and AI is longer term. My intention in this blog was to focus on the elections, with an emphasis on the frequent polling that all of us are bombarded with. But, as often happens, reality has its own priorities. This week was the announcement of the Nobel Prizes. The second and third Prizes, announced in the beginning of the week (October 8th and 9th) were for Physics and Chemistry. Below are the two citations:

Physics:

They used physics to find patterns in information

This year’s laureates used tools from physics to construct methods that helped lay the foundation for today’s powerful machine learning. John Hopfield created a structure that can store and reconstruct information. Geoffrey Hinton invented a method that can independently discover properties in data and which has become important for the large artificial neural networks now in use.

Chemistry:

They cracked the code for proteins’ amazing structures

The Nobel Prize in Chemistry 2024 is about proteins, life’s ingenious chemical tools. David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins. Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. These discoveries hold enormous potential.

AI is mentioned in both Prizes. The surprise, to me and others, was that AI is not currently directly associated with Physics and certainly not with Chemistry, but the awards were given to scientists with backgrounds in the disciplines that allowed them to make key contributions to machine learning (Physics) and the use of AI in protein chemistry. The technique itself is associated with Computer Science. However, there is no Nobel in Computer Science (according to Wikipedia, “The top computer science award is the ACM Turing Award, generally regarded as the Nobel Prize equivalent for Computer Science.”)

The criteria to receive the Nobel Prizes in Physics and Chemistry are given below:

Who can receive the Prize?

According to Alfred Nobel’s will, the Nobel Prize in Physics is awarded to the person who made the most important discovery or invention in the field of physics and the Nobel Prize in Chemistry to the person who made the most important chemical discovery or improvement.

AI (through Google) tried to clarify the meaning of “most important discovery in the field” in the following way:

According to Alfred Nobel’s will, the key criteria for awarding a Nobel Prize is to recognize the person who has made “the most important discovery” within their field, which must have “conferred the greatest benefit to humankind,” meaning the discovery should be of significant impact and have a positive influence on society at large.

“Conferred the greatest benefit to humankind” might refer to having contributed to changing reality for the betterment of humankind. In an earlier blog titled “The Physics of Reality” (February 2, 2021), I used the Encyclopedia Britannica to define reality in the following way:

Physicsscience that deals with the structure of matter and the interactions between the fundamental constituents of the observable universe. In the broadest sense, physics (from the Greek physikos) is concerned with all aspects of nature on both the macroscopic and submicroscopic levels. Its scope of study encompasses not only the behaviour of objects under the action of given forces but also the nature and origin of gravitational, electromagnetic, and nuclear force fields. Its ultimate objective is the formulation of a few comprehensive principles that bring together and explain all such disparate phenomena.

I was not the only skeptic asking whether, in its present form, AI qualifies ():

You might think that the Nobel Prize for Physics would go to a physicist. Not this, year though. As usual, the Prize was shared earlier this week, but both of the winners were computer scientists. It’s as if the Olympic gold for the 100-metre dash had gone to a cyclist.

It should be said that the two laureates, Geoffrey Hinton and John Hopfield, are highly distinguished in their field. However, that field is artificial intelligence (AI), which is not usually regarded as a branch of physics.

So quite a slap in the face for the physicists. But, then, the very next day, came a second slap —  this time for the chemists. The Nobel Prize for Chemistry was another shock win for computer science. One of the three winners, David Baker, has a background in biochemistry, but the other two — John Michael Jumper and Demis Hassabis — are leading AI experts.

The skepticism focused on the present concentration of the technology in the for-profit industry. Below are a few highlights from the NYT on the topic:

Google, thanks to the tens of billions of dollars it makes every year from its online search business, has long pursued giant research projects that could one day change the world.

On Wednesday, the Nobel Prize committee conferred considerable prestige to Google’s pursuit of big ideas. Demis Hassabis, the chief executive of Google’s primary artificial intelligence lab, and John Jumper, one of the lab’s scientists, were among a trio of researchers who received the Nobel Prize in Chemistry for their efforts to better understand the human body and fight disease through A.I.

The two Google scientists won their Nobels a day after Geoffrey Hinton, a former Google vice president and researcher, was one of two winners of the Nobel Prize in Physics for his pioneering work on artificial intelligence.

The Nobel wins were a demonstration of the growing role artificial intelligence is playing in areas far beyond the traditional world of the high-tech industry, and were a reminder of Silicon Valley’s influence in nearly every corner of science and the economy.

But the triumphant moment for Google was tempered by concerns that the commercial success that has allowed the company to pursue these long-term projects is under threat by antitrust regulators. The Nobel awards were also a reminder of worries that the tech industry isn’t paying enough attention to the implications of its open-throttled pursuit of building more powerful A.I. systems.

Dr. Hinton left Google, using his retirement as an opportunity to speak freely about his worry that the race toward A.I. could one day be catastrophic. He said on Tuesday that he hoped “having the Nobel Prize could mean that people will take me more seriously.”

Leading researchers such as Dr. Hassabis often describe artificial intelligence as a way to cure disease, battle climate change and solve other scientific mysteries that have long bedeviled the world’s researchers. The work that won a Nobel was a significant step in that direction.

Out-of-discipline Nobel Prizes are somewhat rare but they do happen. The recent one that comes to mind is the 2002 Prize in Economics, which went to Daniel Kahneman for his contributions to Behavioral Economics. I wrote three earlier blogs on the topics (November 21December 5, 2017) with “irrationality” as the common word in the three titles. We will continue to follow AI progress to see if it fits.

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AI Prospects

 In this blog, I will return to the issue of the environmental cost of AI (September 3rd and 10th blogs) that I wrote about in response to Sonya Landau’s question. The technology is changing fast and is being compared to some of the foundational documents of the United States. Below is an attempt to compare it to the Federalist Papers:

In the late 1780s, shortly after the Industrial Revolution had begun, Alexander Hamilton, James Madison and John Jay wrote a series of 85 spirited essays, collectively known as the Federalist Papers. They argued for ratification of the Constitution and an American system of checks and balances to keep power-hungry “factions” in check.

A new project, orchestrated by Stanford University and published on Tuesday, is inspired by the Federalist Papers and contends that today is a broadly similar historical moment of economic and political upheaval that calls for a rethinking of society’s institutional arrangements.

In an introduction to its collection of 12 essays, called the Digitalist Papers, the editors overseeing the project, including Erik Brynjolfsson, director of the Stanford Digital Economy Lab, and Condoleezza Rice, secretary of state in the George W. Bush administration and director of the Hoover Institution, identify their overarching concern.

“A powerful new technology, artificial intelligence,” they write, “explodes onto the scene and threatens to transform, for better or worse, all legacy social institutions.”

Of course, anything this big and important needs guidelines. NIST (National Institute of Standards and Technology), the US federal agency responsible for establishing standards, produced some:

Under the October 30, 2023, Presidential Executive Order, NIST developed a plan for global engagement on promoting and developing AI standards. The goal is to drive the development and implementation of AI-related consensus standards, cooperation and coordination, and information sharing.  Reflecting public and private sector input, on April 29, 2024, NIST released a draft plan. On July 26, 2024, after considering public comments on the draft, NIST released A Plan for Global Engagement on AI Standards (NIST AI 100-5). More information is available here.

The World Economic Forum has the most complete description that I could find of the excessive energy needs of AI technology in its present state. It also shows proposals for how to address these needs in the near, intermediate, and long-term future:

AI and energy demand

Remarkably, the computational power required for sustaining AI’s rise is doubling roughly every 100 days. To achieve a tenfold improvement in AI model efficiency, the computational power demand could surge by up to 10,000 times. The energy required to run AI tasks is already accelerating with an annual growth rate between 26% and 36%. This means by 2028, AI could be using more power than the entire country of Iceland used in 2021.

The AI lifecycle impacts the environment in two key stages: the training phase and the inference phase. In the training phase, models learn and develop by digesting vast amounts of data. Once trained, they step into the inference phase, where they’re applied to solve real-world problems. At present, the environmental footprint is split, with training responsible for about 20% and inference taking up the lion’s share at 80%. As AI models gain traction across diverse sectors, the need for inference and its environmental footprint will escalate.

To align the rapid progress of AI with the imperative of environmental sustainability, a meticulously planned strategy is essential. This encompasses immediate and near-term actions while also laying the groundwork for long-term sustainability.

The long-term: AI and quantum computing

In the long term, fostering synergy between AI and burgeoning quantum technologies is a vital strategy for steering AI towards sustainable development. In contrast to traditional computing, where energy consumption escalates with increased computational demand, quantum computing exhibits a linear relationship between computational power and energy usage. Further, quantum technology holds the potential of transforming AI by making models more compact, enhancing their learning efficiency and improving their overall functionality — all without the substantial energy footprint that has become a concerning norm in the industry.

Realizing this potential necessitates a collective endeavor involving government support, industry investment, academic research and public engagement. By amalgamating these elements, it is possible to envisage and establish a future where advancement in AI proceeds in harmony with the preservation of the planet’s health.

As we stand at the intersection of technological innovation and environmental responsibility, the path forward is clear. It calls for a collective endeavor to embrace and drive the integration of sustainability into the heart of AI development. The future of our planet hinges on this pivotal alignment. We must act decisively and collaboratively.

Presently, the enormous power needs of AI, combined with the simultaneous need for an energy transition away from fossil fuels, is forcing companies to look to nuclear power. The most eye-catching move has been Microsoft’s plan to resurrect the Three Mile Island plant:

In a striking sign of renewed interest in nuclear power, Constellation Energy said on Friday that it plans to reopen the shuttered Three Mile Island nuclear plant in Pennsylvania, the site of the worst reactor accident in United States history.

Three Mile Island became shorthand for the risks posed by nuclear energy after one of the plant’s two reactors partly melted down in 1979. The other reactor kept operating safely for decades until finally closing, for economic reasons, five years ago.

Now a revival is at hand. Microsoft, which needs tremendous amounts of electricity for its growing fleet of data centers, has agreed to buy as much power as it can from the plant for 20 years. Constellation plans to spend $1.6 billion to refurbish the reactor that recently closed and restart it by 2028, pending regulatory approval.

To those of you too young to know what this turn signifies, the Wikipedia entry for Three Mile Island might help. I was never an enthusiast for making nuclear energy a strong component of the energy transition (see the November 11th and 18th posts from 2014 and the strong responses that these blogs provoked). My main reason was that global reliance on nuclear power would open the door to a much wider spread of nuclear power for military use. While they’re still unresolved, other objections—such as what to do with the radioactive waste produced—could be remediated with further research; the proximity to military applications could not. By all accounts, the primary objective of the energy transition is to convert electricity production to sustainable sources. So, even without resorting to nuclear energy, the amplified need for electricity to run AI is not an insurmountable problem.

However, the last paragraph of the World Economic Forum piece that discussed the long-term prospects of AI is the real key to the environmental impact. The technology for this scenario is quantum computing, which would generate the needed power to train and run the AI.

I have hardly talked about this technology before (one exception is the February 6, 2018 blog) but I will expand on it in future blogs. Those who want to know more right now can look at Amazon’s explanation. One short paragraph exposes us to the key concept of the qubits shown in Figure 1. The article defines them in the following way:

Quantum bits, or qubits, are represented by quantum particles. The manipulation of qubits by control devices is at the core of a quantum computer’s processing power. Qubits in quantum computers are analogous to bits in classical computers. At its core, a classical machine’s processor does all its work by manipulating bits. Similarly, the quantum processor does all its work by processing qubits.

Figure 1 – Progress of quantum computing over the last 20 years (Source: Aviva)

The graph in Figure 1 shows the universal preoccupation and the progress that has been made in this technology over the last 20 years. Estimates are that quantum computing will enter commercial applications toward the end of the decade but estimates can be wrong!

Based on today’s understanding of the technology, quantum computing will revolutionize the energy efficiency of computing:

Today, quantum computers’ electricity usage is orders of magnitude much less than any supercomputer, and this is counting all the different quantum architectures available. Let’s take for example superconducting qubits, the most expensive architecture, and these computers only consume about 25 kW. That amounts to 600 kWh daily, a thousand times less than the Frontier supercomputer. Much less is the consumption of neutral atoms quantum devices, such as PASQAL’s, which amount up to 7 kW.

Understanding this technology requires serious prerequisites. In future blogs, I will try to fill these knowledge voids.

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Back to the 1920s?

Map of US Territorial acquisitions

Recently, Christine Lagarde, President of the European Central Bank, compared the present global economy to that of the 1920s. Below I cite some of the highlights:

The global economy is facing rifts comparable to the pressures that resulted in “economic nationalism” and a collapse in global trade in the 1920s and ultimately the Great Depression, the president of the European Central Bank has warned. “We have faced the worst pandemic since the 1920s, the worst conflict in Europe since the 1940s and the worst energy shock since the 1970s,” said Christine Lagarde on Friday, adding that these disruptions combined with factors such as supply chain problems had permanently changed global economic activity. In a speech at the IMF in Washington two days after the Federal Reserve cut interest rates by 50 basis points, pushing US equity markets to record highs, the ECB president argued that several parallels “between the “two twenties — the 1920s and 2020s — stand out”, pointing to “setbacks in global trade integration” and technological advances in both eras. While monetary policy in the 1920s made matters worse as adherence to the gold standard pushed leading economies into deflation and banking crises, “we are in a better position today to address these structural changes than our predecessors were”, stressed Lagarde. A century ago, she said, central bankers learnt the hard way that pegging the currency to gold and fixed exchange rates was “not robust in times of profound structural change” as it pushed the world into deflation, fuelling “economic malaise” and contributing to a “cycle of economic nationalism”. Today, central bankers’ tools for preserving price stability “have proved effective”, she said. Lagarde pointed to the quick fall in inflation once central banks started to raise rates in 2022. Consumer prices had shot up following a surge in post-pandemic demand, global supply chain disruptions and big rises in energy prices after Russia’s full-scale invasion of Ukraine. She described the episode as an “extreme stress test” for monetary policy.

President Lagarde’s focus, on the parallels of the 1920s and the 2020s, was mainly on Europe, although the Great Depression started in the US. The impact of the German hyperinflation that started in the 1920s had no less global impact. The “Roaring 1920s” gave rise to Nazi Germany and WWII, during which I, and many millions of others, lost most of our families. The impact of the present global unrest has yet to be seen. The focus of President Lagarde was the economy, but as she mentioned, political unrest has a major impact on the economy and vice-versa.

A few days after her speech, The United Nations assembled for its annual meeting in NYC; many world leaders were in attendance. Some meetings took place trying to alleviate deadly conflicts but they had very little impact. The United Nations was first assembled on October 24, 1945, in San Francisco, at the conclusion of WWII, with the objective preventing a re-occurrence of the conditions of the 1920s and the disasters they led to. It now finds itself in a crisis:

The United Nations itself has had a turbulent year. A record number of its staff, 220 in total, have been killed in the war in Gaza. Its humanitarian resources, a crucial backbone of the global relief effort, are overstretched and underfunded as needs multiply rapidly because of wars, climate change and natural disasters. At the same time, its leadership struggles to play a meaningful role in conflict mediation.

The wars that are taking place now have the potential to expand into global nuclear conflicts. President Putin, and some other Russian leaders, include this existential threat at every opportunity. Up to now, as far as we know, we are the only planet in the vast universe on which life exists. Humanity’s existence is the exception, not the rule, meaning that a nuclear WWIII could decimate the only spark of life in the universe!

On the political side, in many democracies, the meaning of right and left in terms of the relative role of the state in our political life has lost its meaning. The substitute has become a version of the “replacement theory” (see my previous blog “Immigration and Politics,” March 5, 2024). The “replacements” vary: Black for white, Muslims for non-believers, immigrants for natives, and Jews for non-Jews. In the 1920s it was Jews for Aryans. Today, the people who are hated, feared, and blamed include a broader variety of non-natives, including many without advanced economic qualifications. Whatever their characteristics, immigrants(and people of color)have been the scapegoats for every societal ill—both in the 1920s and today. In many democracies, they became tickets to election victories and power. After the 1920s, Hitler and the Nazi party converted the Weimar republic into a deadly autocracy. Today, Ex-President Trump is threatening to follow suit. I will end this blog with an outline of the process that took place in the pre-WWII period.

The 1920s started the process that put Hitler in power. One of his most important tools was his call to “replace” the Jews of Eastern Europe with the “pure-race” of Aryan Germans:

Hitler did not invent the hatred of Jews. He capitalised on antisemitic ideas that had been around for a long time.

Hitler was born in Austria in 1889. He developed his political ideas in Vienna, a city with a large Jewish community, where he lived from 1907 to 1913. In those days, Vienna had a mayor who was very anti-Jewish, and hatred of Jews was very common in the city.

During the First World War (1914-1918), Hitler was a soldier in the German army. At the end of the war he, and many other German soldiers like him, could not get over the defeat of the German Empire. The German army command spread the myth that the army had not lost the war on the battlefield, but because they had been betrayed. By a ‘stab in the back’, as it was called at the time. Hitler bought into the myth: Jews and communists had betrayed the country and brought a left-wing government to power that had wanted to throw in the towel.

The United States entered WWI against Germany on April 6, 1917. It was a decisive turning point:

The entry of the United States was the turning point of the war, because it made the eventual defeat of Germany possible. It had been foreseen in 1916 that if the United States went to war, the Allies’ military effort against Germany would be upheld by U.S. supplies and by enormous extensions of credit. These expectations were amply and decisively fulfilled.

After the war and the resulting Treaty of Versailles was signed on June 28, 1919, The German people needed a scapegoat; Hitler and the new Nazi party offered the Jews.

The US serves as a model of Nazi Germany on several different levels. One important level was the US territorial expansion since independence, as shown in Figure 1. The vast territory was occupied by immigrating European at the expense of a native population. For Germany to do the same in Europe they needed to vacate important sections of Europe and populate them with “pure” Aryans. Jews were the best candidates to be replaced.

The Holocaust Encyclopedia says this of the

in Europe at the beginning of the 1930s:

Jews have lived in Europe for more than two thousand years. The American Jewish Yearbook placed the total Jewish population of Europe at about 9.5 million in 1933. This number represented more than 60 percent of the world’s Jewish population, which was estimated at 15.3 million. Most European Jews resided in eastern Europe, with about 5 1/2 million Jews living in Poland and the Soviet Union. Before the Nazi takeover of power in 1933, Europe had a dynamic and highly developed Jewish culture. In little more than a decade, most of Europe would be conquered, occupied, or annexed by Nazi Germany and most European Jews—two out of every three—would be dead.

The replacement plan got the name of Lebenstraum (“living space”):

Following Adolf Hitler’s rise to power, Lebensraum became an ideological principle of Nazism and provided justification for the German territorial expansion into Central and Eastern Europe.[5] The Nazi policy Generalplan Ost (lit. ’Master Plan for the East’) was based on its tenets. It stipulated that Germany required a Lebensraum necessary for its survival and that most of the populations of Central and Eastern Europe would have to be removed permanently (either through mass deportation to Siberia, extermination, or enslavement), including Polish, Ukrainian, Russian, Czech, and other Slavic nations considered non-Aryan. The Nazi government aimed at repopulating these lands with Germanic colonists in the name of Lebensraum during and following World War II.[6][7][8][9] Entire populations were ravaged by starvation; any agricultural surplus was used to feed Germany.[6] The Jewish population was to be exterminated outright.

Hitler’s strategic program for Greater Germany was based on the belief in the power of Lebensraum, especially when pursued by a racially superior society.[7] People deemed to be part of non-Aryan races, within the territory of Lebensraum expansion, were subjected to expulsion or destruction.[7] The eugenics of Lebensraum assumed it to be the right of the German Aryan master race (Herrenvolk) to remove the indigenous people in the name of their own living space. They took inspiration for this concept from outside Germany.[7] Hitler and Nazi officials took a particular interest in manifest destiny, and attempted to replicate it in occupied Europe.[9] Nazi Germany also supported other Axis Powers‘ expansionist ideologies such as Fascist Italy‘s spazio vitale and Imperial Japan‘s hakkō ichiu.[10]

The result was the genocide of 6 million Jews.

“Replacement theory” has never made anyone or any country “Great.” We don’t need to repeat it in the 2020s.

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IPAT: Math, Equation, Identity, and Opinion?

(Source: ResearchGate)

 The IPAT identity is a central feature of every sustainability discussion. Just put the acronym into the search box to see this blog’s coverage of the topic. Three previous blogs stand out. The post from November 26, 2012, Tackling Environmental Justice: a Global Perspective,” provides the background description:

There is a useful identity that correlates the environmental impacts (greenhouse gases, in Governor Romney’s statement) with the other indicators. The equation is known as the IPAT equation (or I=PAT), which stands for Impact Population Affluence Technology. The equation was proposed independently by two research teams; one consists of Paul R. Ehrlich and John Holdren (now President Obama’s Science Adviser), while the other is led by Barry Commoner (P.R. Ehrlich and J.P. Holdren; Bulletin of Atmospheric Science 28:16 (1972). B. Commoner; Bulletin of Atmospheric Science 28:42 (1972).)

The identity takes the following form:

  1. Impact = Population x Affluence x Technology

Almost all of the future scenarios for climate change make separate estimates of the indicators in this equation. The difference factor of 15 in GDP/Person (measure of affluence), between the average Chinese and average American makes it clear that the Chinese and the rest of the developing world will do everything they can to try to “even the score” with the developed world. The global challenge is how to do this while at the same time minimizing the environmental impact.

Most of the previous examples in this blog have focused on the emissions of carbon dioxide and the resulting anthropogenic climate change. One good example can be seen in the May 31, 2022 blog, “Electric Utilities Through the Lens of the IPAT Identity,” which uses the IPAT form as:

  1. CO2 = Population x (GDP/Capita) x (energy/GDP) x (Fossil/Energy) x (CO2/Fossil)

Equations 1 and 2 consider CO2 as the impact and GDP/Capita as the affluence, while the next three terms in Equation 2 represent the technology. It was shown before that if the proper units are used in both equations, they become an identity: something that is always true, regardless of the values plugged in.

The May 31, 2022 blog analyzed the impact of electric utilities on

||the identity. Meanwhile, the June 29, 2016 blog analyzed how the ongoing rise in CO2 emissions and decline in global fertility impact the identity.

The reference and the figure at the top of this blog expand the relationship to almost everything. The price that we are paying for this expansion is the loss of the identity nature of the equation and the conversion of the identity from an objective, irrefutable truth to a subjective opinion.

Recent press reports have started to pay more attention to the declining global fertility rate, which means that we are approaching a global population decline. I have often heard and read the opinion that since population is an indicator on the right side of the identity, population decline will be followed by an emissions decline, resulting in a decrease in the impact of climate change. The opinion generally was that such a change is “good” for the world. Such an opinion does not take into account that the decline in population required for such changes in the global demographic are not taken into account in the identity. This is just one example of the prevailing opinion that the IPAT identity is not without its controversies. A summary of these is given by AI (through Google):

Critisism of IPAT and analysis of terms in terms of good or bad.

The IPAT equation (environmental impact = population * affluence * technology) has been criticized for several reasons, including:

  • Simplicity

The equation is too simplistic to address complex problems.

  • Interdependencies

The equation assumes that the three factors operate independently, but they may interact with each other.

  • Averaging

Averaging the operands of the equation can destroy critical information and lead to information loss.

  • Ecological fallacy

Averaging affluence and technology assumes that all members of the population operate identically.

  • Technology

Technology cannot be properly expressed in a unit, and the value of the ratio depends on other factors.

  • Differences between rich and poor

The equation doesn’t account for the vast differences between rich and poor.

  • Individualist and consumerist approach

The equation predisposes the formula to an individualist and consumerist approach to solving environmental impact.

The main advantage of the wide use of the identity is that if it is run as an identity and not as an “opinion,” it can be quantified and can serve as a starting point for global trends.

The purpose of this blog is to extend the IPAT to the new global trends that were discussed in previous blogs this year (April 16th, August 13th and August 20th) that started in my lifetime and will continue to dominate the reality of our children and grandchildren. These trends were explored in previous blogs in terms of their impacts on the 10 most populated countries that together constitute more than 50% of the global population. Of these, the only developed country is the USA. Table 1 represents all these trends as generational (defined approximately as 25 years) changes in post WWII trends. The data for the global trends were taken directly from Google searches.

Table 1 –  Generational changes in global, post-WWII trends

Global Trends Population

(billions)

Affluence

(GDP in trillion US$)

Population with access to electricity (%) Fertility rate Carbon emissions (tons/capita) Production of electricity with nuclear energy (% of total production) Share of global households with computers (%)
Current 8.2 111 91 2.3 4.3 10 50
2010 6.9 67 83 2.6 4.4 13 37

As I mentioned before, the impact of the carbon emissions and the decline in fertility were analyzed through IPAT in previous blogs. Aside from population and affluence, the other three trends from this acronym will be quantified in future blogs.

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Election Perspectives

From my perspective, the top photograph encapsulates the way we vote. The picture is not AI generated or even edited; I took it with my iPhone. It shows a mirror in my apartment that faces my terrace, which looks out onto my city. It is a mixture of the “me,” “us,” and “them” that constitute the general trajectory of every political election. The collective weight that we put on each component determines the outcome. In the US we are now facing the presidential election, which has already started in some states and will be concluded on Election Day (November 5th).

A month and a half ago (July 30th), I wrote about the binary aspects of this election and about the global consequences that are derived from the extensive power that the American constitution grants the president, along with the central role that the US holds in the global well-being. It is true that not all countries and people are happy with the central role that the US plays in global affairs, and some are experimenting with steps that they can take to reduce this imbalance in power. However, very few are denying the magnitude of the US president’s role.

The July 30th  blog was partially focused on the recent major change that took place in the coming US presidential election: the withdrawal of President Biden from the candidacy for a second term and his replacement by VP Kamala Harris. As was mentioned there, the replacement completely changed the dynamics of the election. A week ago, the first, and most likely last debate (ex-president Trump just announced that he will not be part of a second debate) between the two candidates, took place. The last statistics that I saw reported a TV audience of 67 million people that watched either all or part of the debate. I was one of them. I didn’t find any direct references about the number of people outside the US that watched, but there was plenty of coverage from foreign responses. The NYT got a few insiders’ opinions about various aspects of the debate. I am cherry-picking one of them below:

Binyamin Appelbaum Trump kept describing the United States as a failing nation. His candidacy remains the best evidence for that claim. The Republican candidate for president of the United States baldly asserted on national television that doctors are executing babies after birth. He said that immigrants are stealing and eating Americans’ pet dogs and cats. He defended the rioters who attacked the Capitol on Jan. 6. Even if he loses the election, this debate was a reminder — though, frankly, one we didn’t need — that our democracy has big problems.

The first sentence of Appelbaum’s response was a derivative of President Reagan’s famous line from his 1980 presidential debate: “Are you better off today than you were four years ago?” VP Harris went around the question, trying to circumvent any conflicts with President Biden, instead describing her middle-class background. Appelbaum, on the other hand, is citing Trump’s statement that the US is currently a failing nation—as opposed to how it was when he was president (he was elected in November 2016 and failed to be reelected for a second term). This contradicts a recent report, which ranked the US as the third best country in the world, following Switzerland and Japan based on a variety of attributes, divided into the categories of Adventure, Agility, Cultural Influence, Entrepreneurship, Heritage, Movers, Open for Business, Power, Quality of Life, and Social Purpose.(Best Countries in the World | U.S. News). VP Harris returned to this issue of a supposedly failing nation later in the debate by mentioning that he was fired by 81 million people (not reelected).

The wars between Russia and Ukraine and between Hamas and Israel were mentioned, with Trump making the claim that if he had been the president, these wars would have never started because he would have made deals with both sides. This is obviously a claim that cannot be tested.

Real world present events such as hurricane Francine were threatening the Gulf Coast at the time of the debate but the candidates were never asked how they would treat such extreme weather events, which are projected to amplify over the next four years. Climate change was an explicit question that they were asked about, but both avoided it completely and shifted their answers to speak instead about the car industry. One global threat that was mentioned a few times by President Trump in connection with the Russia-Ukraine war, was the threat of WWIII. I wrote about it in two previous blogs (December 29, 2020 and March 22, 2022). But the situation has become dearer now because Ukraine has started to counter the non-stop Russian bombardments of its country by bombing Russian territories across its border. One recent target was the city of Belgorod:

The Russian authorities said on Saturday that a Ukrainian attack on the city of Belgorod had killed at least 22 people and injured nearly 110 others, in what would be the deadliest single assault against a Russian city since the start of the war nearly two years ago. Russia’s Defense Ministry said in a statement that Ukraine had hit Belgorod — a regional center of around 330,000 residents about 25 miles north of the Ukrainian border — with two missiles and several rockets, adding that the strike was “indiscriminate.”

I wrote about the city of Belgorod in my 2020 and 2022 blogs that I previously mentioned. To most Americans, it is a city like any other; not to Russians. As was mentioned in the 2020 blog, this city was formerly named Stalingrad. The history of WWII cannot be told without mentioning this name, which marked the start of a reversal of the Nazi Germany military successes—at the price of hundreds of thousands of Russian and German casualties. Bombing this city means targeting a source of deep-rooted Russian pride. Meanwhile, Russia is the country most heavily equipped with nuclear weapons, as I described in the 2022 blog. The nuclear risk that this entails is described on Wikipedia.

In the debate, President Trump didn’t try to address how he would handle this explosive situation. He just mentioned the threat to indicate that it wouldn’t have existed if he had won the 2020 election.

Going back to the opening photograph, the personal part of the election will be different for each of us. For those of us who live from paycheck to paycheck or are out of work, the main criteria for choosing a candidate might be the help that they promise a given group or a specific state. For those of us who are better off, the projected taxation rates will be the key issue. However, the view of the NYC Harbor in the photograph should remind us that threats such as climate change and nuclear war are threats to all of us. We will all be better off if we elect a president not only based on the promises that they make but on our perception of how they will navigate the ship of the Union through the unpredictable storming seas—both figurative and literal—that will threaten all of us.

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