to your HTML Add class="sortable" to any table you'd like to make sortable Click on the headers to sort Thanks to many, many people for contributions and suggestions. Licenced as X11: http://www.kryogenix.org/code/browser/licence.html This basically means: do what you want with it. */ var stIsIE = /*@cc_on!@*/false; sorttable = { init: function() { // quit if this function has already been called if (arguments.callee.done) return; // flag this function so we don't do the same thing twice arguments.callee.done = true; // kill the timer if (_timer) clearInterval(_timer); if (!document.createElement || !document.getElementsByTagName) return; sorttable.DATE_RE = /^(\d\d?)[\/\.-](\d\d?)[\/\.-]((\d\d)?\d\d)$/; forEach(document.getElementsByTagName('table'), function(table) { if (table.className.search(/\bsortable\b/) != -1) { sorttable.makeSortable(table); } }); }, makeSortable: function(table) { if (table.getElementsByTagName('thead').length == 0) { // table doesn't have a tHead. Since it should have, create one and // put the first table row in it. the = document.createElement('thead'); the.appendChild(table.rows[0]); table.insertBefore(the,table.firstChild); } // Safari doesn't support table.tHead, sigh if (table.tHead == null) table.tHead = table.getElementsByTagName('thead')[0]; if (table.tHead.rows.length != 1) return; // can't cope with two header rows // Sorttable v1 put rows with a class of "sortbottom" at the bottom (as // "total" rows, for example). This is B&R, since what you're supposed // to do is put them in a tfoot. So, if there are sortbottom rows, // for backwards compatibility, move them to tfoot (creating it if needed). sortbottomrows = []; for (var i=0; i
When the price of fuel soars, drivers who seek to avoid spending money on petroleum have two options. They can:
For many, driving less is an obvious solution, but one that isn't necessarily achievable. That's comes down to why people have cars in the first place. They need them to travel to and from work and also to and from where they buy the goods and services they need.
In today's world, whether they drive a gas-powered, battery-powered or hybrid vehicle, some non-zero percentage of the fuel or energy needed to enable their ride will be produced by fossil fuels. When the price of oil and other fossil fuels rise, the cost of essential commuting goes up as well. But you can limit your exposure to those higher costs by slowing down to drive your vehicle at speeds where it is more efficient.
That fact was established by a nearly three-decade old study by the U.S. Department of Energy that found that most gasoline-powered vehicles in the U.S. are operated at speeds at which they do achieve their peak level of fuel efficiency. At highway speeds, for instance, the forces of aerodynamic drag can substantially increase the amount of fuel an automobile engine has to burn in order to sustain a high velocity. A simple back-of-the-envelope calculation reveals that the amount of drag force that a car being driven at 75 miles per hour sees is some 33% higher than the same car being driven at 65 miles per hour would see.
Though today's roads have more electric and hybrid vehicles driving upon them, they are still affected by the same laws of aerodynamics. Like gas-powered vehicles, it takes less energy to sustain them moving at lower speeds, which means their batteries can hold their charges for longer.
But not too slow. Driving too slow also comes not just with a time penalty but also an increased penalty for fuel consumption. Most modern vehicles are designed to operate most efficiently at speeds ranging from 30 to 55 miles per hour. That's the sweet spot in which you can get the most distance driving out for your fuel consumption dollar.
We've tapped that old study to reverse-engineer the Fuel Economy vs Speed average vehicle profile developed by the U.S. Department of Energy and create the following tool, in which you can find out who much money you might save by going slower. If you're accessing this tool on a site that republishes our RSS news feed, please click through to our site to access a working version of the tool.
The cool thing about this tool is that you now have more weapons in your arsenal to help fend off the effects of higher gasoline prices! Armed with this information, you can now make whatever trade-offs you might need to your greatest advantage. For example, if getting the greatest possible savings is most important to you, you'll want to drive at speeds that produce the lowest equivalent cost per gallon of gas compared to your normal driving speeds. If you want to save gas money and time, you'll want to drive at speeds that give you the greatest equivalent "tax free" income compared to how you drive today.
Image credit: Lighted Automotive RPM, Temperature, Fuel, and Speedometer Gauges photo by Kevin kevin on Unsplash.
Labels: gas consumption, gas prices, personal finance, tool
The S&P 500 (Index: SPX) has reverted back to its mean.
We can say that because the S&P 500 has experienced a relatively stable period of order since the end of the fourth quarter of 2023. We know that's the case because the variation of stock prices with respect to the mean trend curve established from the relationship between stock prices and their trailing year dividends per share can be generally described by a normal distribution.
That in itself is remarkable because stock prices are very much not normal, even when they behave in an orderly manner. When you map their variation onto a chart with zones that align with significant reference points for a normal bell curve from statistics, you'll find both too many points within one standard deviation of the mean and too many points outside the zones where they would be expected to be found 99.8% of the time if that variation was really normally distributed.
But that doesn't mean we can't use the tools built for doing statistical analysis to track an index like the S&P 500 when such a period of order exists in the stock market. The following chart deploys those tools and finds that as of the close of trading on 11 March 2026, the level of the S&P 500 is just a short distance from its central mean trendline. Which is to say the level of the S&P 500 has finally returned to its established mean after having run above it since early September 2025.
This is an almost textbook example of what "reverting to the mean" really means where stock prices are concerned.
But in case you're wondering what it means when stock prices move outside the outer limits described by this kind of analysis, where order really does break down (as opposed to simply being the result of statistical outliers in a continuing trend like what happened back in April 2025), the ultimate textbook example involves the ultimate sell signal.
Evidence has emerged to support our hypothesis that more robust immigration enforcement is a significant contributing factor to the increase in median household income in the U.S. since mid-2025.
Updated monthly population estimates were released last month, with the revisions covering the period from March 2020 through November 2025. From March 2020 through June 2021, most estimates were revised upward by very small amounts, but for each month from July 2021 onward, all estimates were revised downward. The magnitude of revisions start out very small, but increase in magnitude as the revisions draw closer the present.
The negative revisions show three notable shifts as they increase in magnitude. The first shift took place after June 2024 as the cumulative size of the negative revisions grew larger than 100,000. The second shift took place in February 2025 as the cumulative negative revisions surpassed 200,000. The third shift clocks from July 2025 with the size of the negative revisions growing from month to month.
The following chart visualizes the "before" and "after" population data for the period from January 2021 through November 2025 and with the newly reported population estimate for December 2025.
The three shifts follow notable political events that would have a potential outsized effect on U.S. immigration. The first shift took place after President Joseph Biden's disastrous debate with then presidential candidate Donald Trump on 28 June 2024, which ultimately led to his withdrawal from the race several weeks later. This event cemented Donald Trump as the likely next U.S. President and since he campaigned strongly against the unrestricted immigration policies of the Biden administration, it would be reasonable for that event to have a small negative effect on immigrant flows into the U.S.
The second shift came after President Donald Trump was sworn into office on 20 January 2026 and began implementing his immigration control agenda. That change saw the negative revisions jump in the early months of the new Trump administration, which slowed going into summer.
The third shift starting from July 2025 is the most notable one and coincides with the period in which the Trump administration introduced its program to incentivize unlawful immigrants to self-deport from the U.S. with a cash payment and free travel to their home countries. This is the immigration-related policy we think had the biggest effect on median household income because it would be especially attractive to immigrants with very low incomes. The removal of large numbers of this portion of the work force would automatically lead to an increase in median household income with the increasing departures of the lowest income earners, which itself tracks from July 2025 onward.
Comparing November 2025's population estimate from the pre-revision level of 343,078,000 to the post-revision level of 342,439,000 underscores the magnitude of the revision as the estimated resident population of the U.S. dropped by 639,000. At the same time, since the previous population estimates were based on a model of population growth that was established during the Biden administration, it works as a counterfactual, or rather, a reasonable estimate of what the U.S. population would have been if not for the significant political events that altered both it and the nation's median household income.
U.S. Bureau of Economic Analysis. Table 2.6. Personal Income and Its Disposition, Monthly, Personal Income and Outlays, Not Seasonally Adjusted, Monthly, Middle of Month. Population. [Online Database (via Federal Reserve Economic Data)]. 20 February 2026.
Image Credit: Microsoft Copilot Designer. Prompt: "A picture illustrating the concept of a revision to U.S. Census population estimates". We're amazed at how well the result came out, which is remarkable considering how short the prompt was.
Labels: demographics
U.S. teens seeking jobs are facing an uphill struggle.
Jobs for Americans between the ages of 16 and 19 continued their long downward trend in February 2026.
For younger teens, Age 16 and 17, that downward trend began in April 2022 when the percentage of that age demographic counted as being employed peaked at a seasonally-adjusted 25.6%. Through February 2026, that percentage has dropped to 21.0%.
Older teens, Age 18 and 19, have fared better, with their employment-to-population percentage peaking at 45.8% of their demographic in December 2025. Through February 2026, that statistic has fallen to 41.3%.
The following pair of charts presents the seasonally-adjusted data for both the number of teens employed in each of these age categories and also the U.S. teen employment-to-population ratio for the period from January 2021 through February 2026, .
The trend for younger teens is the most concerning. Over the period captured by these charts, many of the teens who were working at Age 16 and 17 in 2022 went on to become the working Age 18 and 19 teens, which helps explain why that demographic had its peak a little over two years later. Meanwhile, the teens who replaced them in the younger demographic are proving to be much less successful in finding jobs.
The recent downtrend for older teens may be developing in part because of the same demographic rollover, with the portion of the teen workforce who first entered the job market in 2022 now aging out into the next higher age category.
U.S. Bureau of Labor Statistics. Labor Force Statistics (Current Population Survey - CPS). [Online Database]. Accessed: 6 March 2026.
Image Credit: Microsoft Copilot Designer. Prompt: "An editorial cartoon to illustrate the concept of a slowing job market for teenage Americans", which we think is remarkable because Copilot loaded the depicted teen's cart with stereotypes for teen employment options.
Labels: demographics, jobs
Geopolitical events dominated the first trading week of March 2026. The start of U.S. and Israeli military operations against Iran prompted a sharp rise in oil prices as Iran's military launched ballistic missile attacks against Persian Gulf nations and threatened shipping traffic through the strategic chokepoint of the Strait of Hormuz.
That escalation prompted marine insurers to cancel war risk coverage for oil container ships, which in turn, sharply reduced shipments of oil out of the Persian Gulf as shippers were unwilling to risk transiting the strait. The resulting new constraint on the 20% of global oil supply that is transported from the oil-rich nations of the Persian Gulf caused the global price of oil to jump over ten percent.
The increase in oil prices put central banks on notice to combat inflation. In the U.S., the prospects for additional interest rate cuts by the Federal Reserve during 2026 dimmed in response to the development. The CME Group's FedWatch Tool projects the Fed will delay an expected quarter point reduction in the Federal Funds Rate steady until 29 July (2026-Q3), six weeks later than what was anticipated a week earlier. The tool also projects another quarter point rate cut on 9 December (2026-Q4).
The effect on stock prices however was more muted. The S&P 500 (Index: SPX) declined 2.0% from its previous week's close to end the trading week at 6,740.02.
The latest update of the alternative futures chart shows the trajectory of the index is still within the redzone forecast range we introduced in the previous edition of the S&P 500 chaos series, but instead of being in the middle, it moved near the lower end of the range.
Although geopolitics delivered the week's biggest news, other news influenced investor expectations of the future as well. Here are the week's market-moving headlines:
The Atlanta Fed's GDPNow tool forecast of real GDP growth in 2026-Q1 dropped to +2.1%, down from the +3.0% growth anticipated a week earlier.
Image credit: Microsoft Copilot Designer. Prompt: "An editorial cartoon of a Wall Street bull and bear in suits screaming at news ticker that says 'IRAN WAR'".
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:
ironman at politicalcalculations
Thanks in advance!
Closing values for previous trading day.
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