Political Calculations
Unexpectedly Intriguing!
20 January 2026
An editorial cartoon of a Wall Street bull and bear watching the news and worrying over it. Image generated with Microsoft Copilot Designer.

After closing out the preceding week at a record high, the S&P 500 (Index: SPX) clocked a new record high close of 6,977.27 on Monday, 12 January 2026 before retreating a half percent to end the week at 6,940.01, about 0.4% below its previous week's close.

There really wasn't any single catalyst to prompt the retreat. Instead, the general flow of news during the week was mildly negative for the outlook of large publicly traded firms, with the result being that stock prices ended the week marginally lower.

For example, inflation news during the week that was did little to influence expectations for how U.S. interest rates will change during 2026. The CME Group's FedWatch Tool continues to project the Fed will hold the Federal Funds Rate steady until 17 June (2026-Q2), when it anticipates a quarter point rate cut. The tool forecasts another quarter point reduction on 28 October (2026-Q4), six weeks later than it forecast a week earlier.

Perhaps the biggest surprise during the week was President Trump putting potential new tariffs on the table on Friday, 16 January 2026 for European nations opposing U.S. negotiations to acquire the territory of Greenland from Denmark. Which considering how President Trump has transformed tariffs into a tool for the U.S.' international diplomacy over the last year isn't a terribly surprising development and did little to affect stock prices.

All in the all, we find the trajectory of the S&P 500 is right about in the middle of the redzone forecast range shown on the latest update of the alternative futures chart for 2026-Q1.

Alternative Futures - S&P 500 - 2026Q1 - Standard Model (m=-2.0 from 28 Apr 2025) - Snapshot on 16 Jan 2026

Here are the market moving headlines, such as they were, for the trading week ending on Friday, 16 January 2026.

Monday, 12 January 2026
Tuesday, 13 January 2026
Wednesday, 14 January 2026
Thursday, 15 January 2026
Friday, 16 January 2026

The Atlanta Fed's GDPNow toolestimates real GDP growth in the U.S. during 2025-Q4 ticked up to +5.3% from the +5.1% growth it was anticipating on 9 January 2026.

Image credit: Microsoft Copilot Designer. Prompt: "An editorial cartoon of a Wall Street bull and bear watching the news and worrying over it".

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16 January 2026
Paul Erdős and Terence Tao in 1985

Mathematician Paul Erdős died nearly 30 years ago, but left behind a massive legacy. Famously known for his collaborations with other mathematicians and his eccentric practice of showing up unannounced to their doorsteps and staying only as long as they provided him with interesting challenges to ponder, the prolific mathematician left behind 1,135 problems for succeeding mathematicians to advance the field by either proving or disproving them.

In the last few months, three of those problems have been cracked by Artificial Intelligence (AI) systems harnessed with the well established Lean proof assistant. NeuronDaily tells the story of the third, which is impressive because there was little-to-no online material the AI system could have accessed to develop its proof, which means the AI paired with a proof assistant is generating genuinely original work:

Remember those brain-teaser math problems from school that made you want to throw your pencil? Now imagine ones so hard they've stumped mathematicians for decades. Paul Erdős, who published more papers than anyone in math history, left behind hundreds of these puzzles when he died in 1996. This weekend, GPT-5.2 Pro solved one.

Neel Somani prompted the AI to tackle Erdős Problem #397, which asks whether infinitely many solutions exist for a specific equation involving central binomial coefficients. GPT-5.2 generated the proof, the tool Aristotle formalized it in Lean (a verification language), and Fields Medalist Terence Tao accepted it.

Here's Neel Somani's X tweet announcing the accomplishment:

NeuronDaily explains why the proof of Erdős Problem #397 is a big deal:

It’s part of a wave of autonomous solves: GPT-5.2 has now cracked Problem #728, #729, and 397.

Verified mathematics: The Aristotle system auto-corrected gaps in proofs and produced Lean-verified code.

Self-contained reasoning: Unlike October 2025's GPT-5 controversy (which just found existing literature), Tao says these are original proofs.

While impressive for the technology, the new proofs don't yet represent the kind of ground-breaking accomplishment that would permanently leave human mathematicians in the dust.

The catch? Tao emphasizes these are “lowest hanging fruit”; problems solvable with standard techniques, not profound breakthroughs. GPT-5.2 scores 77% on competition-level math but only 25% on open-ended research requiring genuine insight.

Three years ago, having any computing system score 77% on competition-level math would have been a remarkable achievement, but scoring 25% on open-ended research was a pipe dream. Considering the amazing progress that's been made with the use of AI in maths in just the past three years, what lies in store for the next three years?

Image credit: Paul Erdős and Terrence Tao in 1985. Wikimedia Commons. Creative Commons Attribution-Share Alike 2.0 Generic Deed. We were surprised that Erdős collaborated with Tao when the latter was just 10 years old! Terence Tao, of course, went on to have an equally remarkable career and has an Erdős Number of 2.

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15 January 2026
An editorial cartoon featuring a real estate agent meeting a young family that earns the median household income who tells them they can afford to buy a new home, a calendar in the room shows it is October 2025. Image generated with Microsoft Copilot.

The new home affordability crisis is showing signs of ending for the first time in nearly three-and-a-half years. The median sale price of a new home sold in the United States has dropped below the upper threshold of affordability that determines whether the typical American household can afford the monthly mortgage payment on the typical new home sold in the U.S.

That threshold is defined by having a mortgage payment that represents no more than 36% of household income, which lenders have historically used to determine whether they will loan money to a household that has no other debt. For October 2025, a household earning the median household income would that bought a new home at the month's median sale price of $392,300 would see their mortgage payment consume 34% of their monthly household income, which puts the typical new home within affordable reach.

For households that do carry other debt, lenders prefer their monthly mortgage payments consume no more than 28% of their pre-tax household income to ensure they have financial resilience to deal with unexpected expenses when their mortgage payments fall below these affordability thresholds. At 34% of its monthly household income, the median new home sold in October 2025 would be affordable for median income-earning households that carry low levels of other debt, the first time that's even been possible since March 2022.

The latest update of our chart tracks the changing relative affordability of the typical new home sold in the U.S. is for the typical American household with respect to the mortgage lending industry's key affordability thresholds from January 2000 through October 2025.

Mortgage Payment for a Median New Home as a Percentage of Median Household Income, January 2000 - October 2025

The National Association of Realtors explains the main factor why new homes have suddenly dropped into the range of affordability:

Prices for newly built homes fell to a four-year low in the fall as builders cut prices, according to a report delayed by the government shutdown.

The median sales price for new homes that went under contract in October was $392,300, down 8% from a year earlier and the lowest level since 2021, the U.S. Census Bureau reported on Tuesday.

New-home prices have been trending down since late 2022, after the affordability crisis priced many potential buyers out of the market. Homebuilders responded by cutting prices and boosting incentives.

This month, 40% of builders reported cutting prices, while 67% reported using sales incentives such as mortgage rate buydowns, according to the leading survey of homebuilder sentiment.

Meanwhile, sales of new homes improved year-over-year as mortgage rates were also lower on average in October 2025, contributing to the improved affordability of new homes for the typical American household:

Sales of new single-family houses were at a seasonally-adjusted annual rate of 737,000 in October, little changed from the prior month but up 19% from a year earlier.

Transactions rose as falling mortgage rates and prices both contributed to making new homes more affordable for prospective homebuyers.

Mortgage rates averaged 6.25% in October, down from 6.43% in October 2024, according to Freddie Mac.

The average price of a new home sold in October 2025 was $498,000, which was three percent higher than September 2025's average sale price of $483,500.

Looking at what that means for new home builders, we find time-shifted (centered) trailing twelve month average of the total value of new homes sold in the United States is $29.11 billion. We find the lower sale prices of new homes is contributing to an upward trend in the number of sales, but we find the average sale price of a new home is relatively stable, or flat.

The following charts present the U.S. new home market capitalization, the number of new home sales, and their sale prices as measured by their time-shifted, trailing twelve month averages from January 1976 through October 2025.

Trailing Twelve Month Average New Home Sales Market Capitalization in the United States, January 1976 - October 2025

Rising trend for new home sales

Trailing Twelve Month Average of the Annualized Number of New Homes Sold in the U.S., January 1976 - October 2025

Rising trend for average home prices

Trailing Twelve Month Average of the Mean Sale Price of New Homes Sold in the U.S., January 1976 - October 2025

Following up our coverage of August 2025's potential statistical fluke increase in the number of new home sales, revisions to the sales data released on 13 January 2026 confirms the August 2025 sales figures were indeed a fluke.

References

U.S. Census Bureau. New Residential Sales Historical Data. Houses Sold. [Excel Spreadsheet]. Accessed 13 January 2025. 

U.S. Census Bureau. New Residential Sales Historical Data. Median and Average Sale Price of Houses Sold. [Excel Spreadsheet]. Accessed 13 January 2025. 

Image credit: Microsoft Copilot. Prompt: "An editorial cartoon featuring a real estate agent meeting a young family that earns the median household income who tells them they can afford to buy a new home, a calendar in the room shows it is October 2025", followed by a second prompt to "Make the family's expression happy and make the cartoon more colorful."

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14 January 2026
Close up of a metal container with writing photo by Zalfa Imanion Unsplash - https://unsplash.com/photos/red-and-blue-crane-under-blue-sky-during-daytime-MP6FMO8khn4

Trade between the U.S. and China has been almost fully cut in half since its October 2021 peak. The latest available trade data for October 2025 reveals the combined value of all goods exchanged between the two nations stood at $32.8 billion, which compares with the record peak of $64.7 billion in October 2021.

October is a significant month for U.S.-China trade because U.S. exports of soybeans to China typically peak during the month. In 2025 however, even though China has been buying U.S. soybeans, sales have been muted with the result exports have significantly lagged the typical seasonal boost seen in previous years.

That outcome is a direct consequence of the tariff war between the two nations. Part of China's trade war strategy has been to purchase soybeans from other nations, with Brazil gaining much attention from China's soybean purchasers.

The following chart shows how the combined value of trade between the U.S. and China stands through October 2025 in the context of how trade between the nations has developed since January 2017.

Combined Value of U.S. Exports to China and U.S. Imports from China, January 2017 - October 2025

The chart features a counterfactual of how the rolling twelve month average value of goods exchanged between the U.S. and China would have grown in the absence of the global tariff war between the two nations. Through October 2025, we find the gap between that counterfactual and the actual trajectory of U.S.-China trade has opened up to $11.5 billion, with a cumulative loss of $43.4 billion since February 2025.

Looking forward, the U.S. and China reached a one-year trade deal on 1 November 2025. We'll see over the next several months how that deal might change the overall trajectory of the rolling twelve month average. Assuming that deal is not disrupted by President Trump's just-announced 25% tariff on nations trading with Iran because of that nation's repressive government's crackdown against protestors.

All this discussion emphasizes a critical point. Rather than a tool to raise revenue, tariffs have become a tool for addressing geopolitical concerns during President Trump's second term. They've become more than a means of regulating trade.

References

U.S. Census Bureau. U.S. International Trade in Goods and Services (FT900). U.S. Trade in Goods with China, Not Seasonally Adjusted, Nominal Figures, Total Census Basis. [Online database]. Accessed 8 January 2025.

Image Credit: Close up of a metal container with writing photo by Zalfa Imani on Unsplash.

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13 January 2026
Jobs - get the facts about occupations by Library of Congress - http://lcweb2.loc.gov/service/pnp/cph/3f00000/3f05000/3f05200/3f05219v.jpg

The U.S. Bureau of Labor Statistics released its employment situation data through December 2025, resuming their regular reporting schedule after the delays caused by 2025's Senate Democrats' government shutdown fiasco.

The jobs data was mixed for working U.S. teens. Older teens, Age 18-19, saw their numbers among the ranks of the employed rise in December 2025. With a seasonally-adjusted 3,547,000 older teens earning wages, the percentage of the older teen population rebounded to 42.9%.

Unfortunately, younger teens, Age 16-17, saw their numbers fall again, dropping to a seasonally adjusted 1,938,000 and continuing a multi-year, long-running trend. That downward trend is most evident when looking at the share of the younger teen population with jobs. The employment-to-population statistic for this demographic dropped to 20.3%, its lowest level since January 2021's 20.4%.

The following chart visualizes these trends along with the seasonally-adjusted total Age 16-19 employment level:

US Teen Employment and Employment to Population Ratio, January 2021 through December 2025

Sharp-eyed readers will catch that the number of employed Age 16-17 teens and Age 18-19 teens doesn't add up to the combined Age 16-19 figures in these charts. That's because each age demographic gets its own seasonal adjustment. If you want numbers that do add up within a small margin of error, you'll want to access the BLS' non-seasonally adjusted employment figures.

Really sharp-eyed readers will also note the seasonally adjusted data presented in the charts doesn't match our last edition in this series. The BLS revised its seasonally adjusted data with the December 2025 employment situation report, with the revisions affecting all previously reported data from January 2021 onward. The revisions do not affect the nonseasonally adjusted data, which remains unchanged from their previously reported figures.

Reference

U.S. Bureau of Labor Statistics. Labor Force Statistics (Current Population Survey - CPS). [Online Database]. Accessed: 9 January 2026.

Image credit: Jobs - get the facts about occupations poster by Library of Congress. Public domain.

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About Political Calculations

Welcome to the blogosphere's toolchest! Here, unlike other blogs dedicated to analyzing current events, we create easy-to-use, simple tools to do the math related to them so you can get in on the action too! If you would like to learn more about these tools, or if you would like to contribute ideas to develop for this blog, please e-mail us at:

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