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
A long time ago, before studio executives sucked all the remaining lifeforce out of it, fans of Star Wars eagerly anticipated the release of a new movie in the series. One that would finally continue the epic story of the original trilogy after years of diversions with mostly unsatisfying prequels.
The year was 2015. The movie was Star Wars: Episode VII - The Force Awakens. And though it was something of a rehash of the original trilogy, the talented visual and special effects team who made it succeeded in creating a new character that captured the fandom's imagination.
We are, of course, referring to the BB-8 astromech droid, which in retrospect, was perhaps the most realistic character introduced in the new movie because it was based on new, but existing technology. Not proto-AI, not CGI, but actual patented mechanical and electrical components. The movie's producers put a featurette together to show off how they did it.
Meanwhile, the studio executives made sure there was a BB-8 Droid toy available in stores when the movie came out as part of their vision for sucking the lifeforce out of Star Wars by hoovering up cash from the movies' fans.
Including droids as characters that could be easily turned into marketable toys has always been their purpose in the Star Wars franchise. Because when you really think about what their roles are in the Star Wars universe, they don't make much sense. For example, why wouldn't the people who make X-wing fighters just build-in whatever it is that droids do in X-wing fighters into the X-wing fighters themselves?
When you think about it that way, why on earth would anyone even try to make a robot like the BB-8 droid with the form factor of a ball with a static component that rides on top of it? Where would it ever make sense to have a technology like that?
Over ten years after BB-8's cinematic introduction, we might finally have an answer to that question that actually does make sense. Rollo Robotics has created the world's first autonomous and self-balancing monowheel robot, which in addition to being inspired in part by BB-8, has potential applications in mind for which it would be useful.
The following video introduces the company's prototype monowheel robot technology:
If it pans out, the monowheel robot's cost effective means of monitoring and patrolling open areas of ground could reshape how security is provided at facilities that require it. Beyond that, monowheel robots could find use as probes for exploring the surfaces of the moon and planets.
But as Core77's Rain Noe observed, the technology has a big challenge that would limit its adoption: stairs.
But to overcome that challenge, perhaps we can turn to another depleted sci-fi/fantasy series for the obvious solution:
We wouldn't say the Daleks' solution to their problems with stairs makes much sense either, but at least somebody is out there thinking about these things!
Labels: technology
August 2026 was a good month overall for the Thanksgiving Leftover Stocks of 2025.
Compared to their July 2026 snapshot, both our hypothetical indices of the ten worst stocks within the S&P 500 (Index: SPX) during 2025 saw month-over-month gains. The market cap-weighted index of these stocks increased from 87.4% to 91.4% of its value on the day after Thanksgiving 2025, while the equal-weighted index grew more, rising from 88.5% to 94.7%.
Both these indices are still lagging behind the overall S&P 500 index. The benchmark index increased from 108.2% to 112.1% of its day-after-Thanksgiving Day 2025 value in the month from the July to August snapshots.
The following chart shows the performance of all three sets of stocks, with the two Thanksgiving Leftover stock indices continuing to lag behind the S&P 500 index by a wide margin.
It's worth noting why the equal-weighted version of the ten stock index is performing better than the market cap-weighted version. The largest component of the market-cap weighted index is Chipotle Mexican Grill (NYSE: CMG), which accounts for 23.5% of its value. Shortly after the July 2026 snapshot, Chipotle's stock plunged when jalapeno peppers served at the chain's restaurants in Minnesota were linked to an outbreak of salmonella.
Although Chipotle acted quickly to pull all potentially affected jalapenos from its restaurants, investors sent its stock down sharply, losing nearly 16% of its value in a week. Since then, Chipotle's stock has largely recovered to its pre-jalapeno recall level.
That recovery however lagged behind the improvement of several other Thanksgiving Leftover stocks, which gave the edge to the equal-weighted version of the index. The stock of Gartner (NYSE: IT) led the month, rising from 63.4% to 82.5% of its value on 28 November 2026 as investors shook off some of the AI disruption discounting they had earlier imposed on it. the stock price of Factset Research Systems (NYSE: FDS) also saw outsized gains for the same reason, rising from 95.6% to 106.6% of its post-Thanksgiving Day 2025 level.
Two of the individual Thanksgiving Leftover stocks lost notable value over the past month. Deckers Outdoor (NYSE: DECK) declined from 111.0% to 101.6% of its 28 November 2025 value, while the stock price of Trade Desk (NASDAQ: TTD) continued to fall through its continually lowering floor.
The spaghetti chart tracks the relative movements of 2025's ten Thanksgiving Leftover stocks during the last nine months with respect to their value on the day after 2025's Thanksgiving holiday.
Nine months after Thanksgiving 2025, five of the S&P 500's Thanksgiving Leftover stocks have risen above their 28 November 2025 level, while the other five have dropped below it.
In cased you missed it, our extended discussion of The Trade Desk's woes as the worst of the 2025's Thanksgiving Leftover Stocks is available here. We'll check back in with the Leftover Stocks near the end of September 2026.
Labels: ideas, stock prices
Political Calculations' initial estimate of the total value of new home sales in the United States during July 2026 is $28.41 billion. This value is slightly lower than the initial estimate of $28.62 billion we presented in our previous update that covered new home sales data through May 2026.
Since then, the number of new home sales has been trending downward thanks largely to an increase in mortgage rates in recent months, which has made new homes relatively less affordable during this time. The number of new home sales has dropped to its lowest level since the start of the year.
One surprising development however is that the average new home sale prices has also declined in recent months. Builder incentives are making new homes less expensive than existing homes.
As far back as modern records go, newly built homes have almost always cost more than previously owned homes.
It only makes sense: New homes are expected to have far fewer maintenance issues, brand new appliances, and designs suited to contemporary tastes, plus they can be customized to suit the homebuyer's needs.
After all, it is only in very rare circumstances that a used car would cost more than a similar make and model purchased brand new at the dealer's lot.
But in recent months, that trend has been upended to an extent that has never been seen, with the typical new home selling at a sharp discount to existing homes.
In June, the $407,200 median sales price of new homes was about $28,000 less than for existing homes, a 6.5% discount and by far the biggest inversion in at least 25 years.
Last month, the gap narrowed a bit to nearly $19,000, or 4%—still significantly larger than any discount seen before this year. July also marked the fourth straight month of price inversion for new homes, the longest stretch on record.
The following charts present the U.S. new home market capitalization, the number of new home sales, and their average sale prices as measured by their time-shifted, trailing twelve month averages from January 1976 through July 2026.
We'll update our measure of the relative affordability of new homes sometime in the next week.
U.S. Census Bureau. New Residential Sales Historical Data. Houses Sold. [Excel Spreadsheet]. Accessed 25 August 2026.
U.S. Census Bureau. New Residential Sales Historical Data. Median and Average Sale Price of Houses Sold. [Excel Spreadsheet]. Accessed 25 August 2026.
Image Credit: An aerial view of a lot of houses photo by Modunite Ltd on Unsplash.
Labels: market cap, real estate
We recently discussed how advances in technology are contributing to boosting the productivity of mathematicians during the last thirty years. But the chart we featured in that article depicting how the number of math papers being published each month has nearly doubled in the last three years may not do full justice to how fast the pace of new papers coming out has changed.
Another way to communicate that acceleration in output is Matt Parker's approach of focusing on a small subset of the new papers being published in the last few months to show how they represent a big increase in the capability of the AI large language models used to generate their findings. In the following video, in what is becoming an annual tradition, he interrupts his vacation to cover breaking news in the world of mathematics.
Parker makes an explicit point of noting the use of the Lean proof assistant to verify their findings, which gives greater confidence the findings in these papers will stand up to serious scrutiny.
Not all the preprint papers that have recently populated the mathematics category of the arXiv database meet that standard, as Reddit math community poster Salt_Attorney recently observed.
By contrast, Lean verification was used in the ten advances spanning several disciplines in mathematics OpenAI claims its Astra AI system has made. As such, they have a much better chance they'll be found valid when the findings are reviewed.
But the question now being raised is whether verification of findings by a proof assistant is enough to accept AI-generated results as presented. For further reading on that topic, we'll recommend Gary Marcus' discussion of OpenAI's claimed accomplishment to appreciate it may not be either as grand or the Astra AI system as capable as presented in OpenAI's announcement.
Labels: ideas, math, technology
The S&P 500 (Index: SPX) dropped almost 1.4% from its previous week's close to wrap up the trading week ending on Friday, 21 August 2026 at 7,678.76.
Rising bond yields was perhaps the biggest driver of stock prices during the week, which comes as the U.S. government is increasingly having to compete with Big Tech to borrow money as the company's seeking to build out the infrastructure to support the expansion of Artificial Intelligence (AI) systems are borrowing big to do it.
One outcome of that dynamic is expectations of higher interest rates. The CME Group's FedWatch Tool projections of the expected future for how the Fed will set the Federal Funds Rate changed little in the past week. It anticipates a 60% chance the Fed will act to hike this core interest rate to a target range of 3.75-4.00% on 28 October (2026-Q4), while giving a much stronger 98% chance this rate will be in effect on 9 December (2026-Q4). Beyond that, the FedWatch Tool now anticipates another quarter point rate hike on 28 April (2027-Q2).
Meanwhile, stock prices behaved almost exactly as would be expected if investors were tightly focusing on 2027-Q1 as they set the level of the week's stock prices. The latest update of the alternative futures chart shows that outcome as the S&P 500's trajectory closely paced the dividend futures-based model's projection associated with investors fixing their attention on the distant future quarter of 2027-Q1.
Investors had quite a lot of other new information to absorb during the trading week. Here is the summary of the week's market-moving headlines:
The Atlanta Fed's GDPNow tool anticipates +4.0% real GDP growth for the U.S. economy in 2026-Q3, dipping from the +4.3% annualized growth it projected a week earlier.
Image credit: Microsoft Copilot Designer. Prompt: "An editorial cartoon of a Wall Street bull holding up a sign that says 'RISING BOND YIELDS' who is growling at scared investors"
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