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Markets have reached one of those wonderfully uncomfortable places where the bullish and bearish cases can both be right — just on different clocks. Our State-Variance work says there is still room overhead, Tech has climbed safely back above its 85-day moving average, and the Ebbinghaus-Ure work suggests the market may have finished its latest consolidation and be setting up for another push higher.

But here’s where it gets interesting. Our Differential work is calling this a “second wind,” while the companion oscillator is moving back toward territory associated with market tops. Add our long-running 1929 comparison, rising interest rates, and the possibility of one last enthusiasm-driven run, and the question isn’t simply up or down? It’s whether another move higher is the beginning of something — or the finishing move of something already very old.

That’s what this weekend’s 40-page Peoplenomics ChartPack works through: State-Variance, Magic Ovals, the 1929 comparison, U.S. and Global Aggregates, moving-average crossings, Differential Oscillators, Golems and the Wave Projector. The short version? The charts permit another push higher — but…let’s the rest for subscribers. Everyone else gets to find out later what we were talking about today.

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Over on Peoplenomics this morning, we’re earning the subscription fee the hard way. We start with the News Compressor and four things that actually matter: Gulf energy flows, Trump-Xi and Taiwan, the newest Russia/Ukraine wrinkle, and the accelerating AI/compute race. Then there’s today’s ChartPack, because markets don’t particularly care about anybody’s political opinions when it’s time to settle the trades.

Then we’re dropping something completely different and exclusive: The Good War — my newest strategic-fiction novel — complete for subscribers today, along with a roughly one-hour abridged audio version in two MP3s. It’s the story that grew out of reader Andy’s oceanographic adventures in the Pacific this summer but it goes sideways into strategic fiction, and ends with an early reviewer telling me, “This is the single most compelling science fiction I’ve read in several decades. Get it published, please, George.”

So PN readers get it before the rest of the world does.

But today’s main course may be the most important. What happens when AI gets the equivalent of a radio license? We’re digging into the coming collision between AI, privacy, government regulation and your right to think with a machine without somebody standing behind the keyboard taking notes. And I think I’ve landed on a surprisingly simple framework: license the transmitter, not the listener — regulate harmful actions, not private thought. That’s today’s Peoplenomics. Forty bucks a year, and today alone there’s enough reading and listening to wreck most of your morning.

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Today’s Saturday report runs about one-tenth the length of a typical novel — and that’s before you count the 37-page ChartPack and the separate Over-the-Horizon report. Seriously.

A lot of UrbanSurvival readers have never taken a Peoplenomics subscription. Fair enough. But what you’re missing isn’t simply “more George.” It’s where we have room to follow an idea all the way through to its sometimes ridiculous — but coldly logical — conclusion.

Today’s report is a good example. We start with the weekend news scan, move through the ChartPack and our Over-the-Horizon work, then wander into the economics of energy conservation, clothing, AI data centers, water chemistry, greenhouse production, building science and even bread. And somehow, by the end, they all turn out to be variations on the same problem: what happens when we measure the wrong thing — or fail to measure the input that actually matters?

And sometimes the cold logic of the future produces conclusions you probably won’t find in the morning newspaper:

“We will only see climate as ‘getting real’ when Amazon starts listing a CLO rating beside every article of clothing — and mileage ratings for shoes.”

Sounds like a joke. Except clo is a real engineering measure of clothing insulation. Once you follow that through thermostat settings, peak electrical demand, data-center consumption, clothing manufacture and household behavior, the joke starts looking suspiciously like economics.

And after the news and market analysis, there’s another rabbit hole this week: Strategic Fiction — my proposed name for stories (like my recent novels) that start with something plausible and follow the consequences farther downstream than comfortable people normally would.

Strategic Fiction: Fiction, but plausible enough to be concerning.

That’s what Peoplenomics is for: following the numbers — and occasionally the ideas — past the point where everyone else stops.

$40 a year. About 77 cents a week. And subscriber copies of my latest books are included.

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Today’s Peoplenomics is one of those reports that refuses to stay inside the usual market-news box. We begin with Fed Shock Day, the Middle East energy squeeze, two fresh economic releases, and a nearly three-dozen-page ChartPack asking whether markets are setting up for a blow-off move — or something considerably less pleasant. Then we move into the harder question: Can the future be studied systematically without fooling ourselves about what constitutes a forecast? That brings in a new paper on the Deep Middle Hypothesis and why the source population behind any forecasting system may matter as much as the forecasting method itself.

Then things get strange — productively strange. A two-night sequence of unusually explanatory lucid dreams produced a new Peoplenomics mini-book, Visitor to Earth, and led straight back to the central idea behind my book Test-Fitting Apes: What if the biggest model humans have been test-fitting is reality itself? We can detect radio waves, neutrinos, magnetic fields and gravitational waves only because we invented instruments that extended our senses. So how confident should we be that today’s instruments, equations and models have exhausted what there is to notice?

That leads to what may be the most interesting research question I’ve stumbled across in a while: What Did We Average Out? What if the mathematical averaging that makes physics extraordinarily successful can also conceal information residing in gradients, boundaries and heterogeneity? From there we sketch a serious research program reaching into physics, ancient Hebrew, Greek, Sanskrit, Chinese, Arabic and other source languages — not to prove ancient people secretly knew modern physics, but to ask whether recurring descriptions of an unseen, pervasive or breath-like layer of reality can be coded, compared and statistically tested. It’s a hundred-page-coffee kind of Peoplenomics morning: markets, forecasting, dreams, physics, linguistics and one considerably larger cake.

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This morning on Peoplenomics, we’re looking beyond next week’s Fed meeting and asking a much bigger question: What should you buy today that the world may have trouble making cheaply ten years from now? Productive land, gold and silver, machinery, repair parts and durable goods all make the list — but not simply because their prices might rise. The better question is what owning them will still allow you to do when money is cheaper and purchased labor is more expensive.

That leads us to something conventional financial planning mostly ignores: the Capability Portfolio. A tractor multiplies muscle. A lathe manufactures precision. Spare parts extend the life of capital equipment. Land turns sunlight and water into chow. AI multiplies cognition. And practical competence connects the whole works. Sure, financial assets still matter, but there’s another dimension of wealth in how many essential functions a household can perform without paying someone else or asking an institution for permission. Or a loan.

Then we fire up the Over-the-Horizon software for an updated look at what may be coming toward us: the post-Fed late-September window, Russia’s election and what follows it, the Gulf energy/shipping problem stretching into 2027, and a potentially historic El Niño whose economic consequences could reach from food and freight to power and inflation. It’s a big Saturday edition.

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Peoplenomics readers get a little more than the usual economic deep dive today. We begin with the latest ChartPack as markets head toward next week’s Fed decision with energy, inflation, currencies and interest rates suddenly tied together in ways that could make this meeting considerably more interesting than advertised.

Then there’s a complete new book: Test-Fitting Apes: How Economics Goes Bananas. It looks at what happens when AI does to the cost of THINKING what industrial machinery once did to the cost of LABOR—and why the next major economic dislocation may hit the professional “thinking class” harder than the traditional working class. Subscribers get the entire book today, plus something new: the complete book as three MP3 audiobook files for listening in the car, shop, tractor, or wherever else economics happens.

And because the world refuses to wait while books get written, we fire up News Compressor afterward: $100-ish oil, impaired Hormuz traffic, Gulf escalation, Ukraine heating back up, Asian currencies feeling the energy squeeze, and a new Deep-Middle signal worth watching: AI → electricity → nuclear power → sovereign infrastructure. One of those Wednesdays where the ChartPack, the news flow and the new book unexpectedly start telling different parts of the same story.

Next month’s book (writing like mad now) is “Thinking on the Gallows” and it’s about what happens when thinking – as in “routine actions with formatic thought” – becomes the object of mass replacement.

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I promised to keep today’s ChartPack to 30-some pages. It came in at 41. Apparently, even the page count is suffering from inflation. There’s a four-chart Quick Read Coach up front, because the useful question this morning is whether tech’s weakness becomes a broader market problem—or another pullback the bulls manage to repair. We’ve marked the moving averages and conditions worth watching.

Then we head into the deep end: How far can an intelligence reach, and how much useful understanding can it bring back? Today’s Peoplenomics research extends the human range-building story in Mind Amplifiers into a proposed framework involving knowledge, exploration, memory, and the speed of accurate recall. From there, we ask how different intelligences—human, animal, or machine—recognize and complement one another’s capabilities. There’s a plain-English introduction, followed by the full paper for readers willing to let Greek letters wander around the living room.

The investment connections are practical: finding opportunities between industries, judging whether management can adapt when the business changes, and examining whether the forces supporting a trade still agree. These are ideas to test, with the machinery laid out so readers can examine it. Every interesting connection deserves a test before it deserves our money. Today’s research, ChartPack, and News Compressor are on Peoplenomics. Forty dollars a year. Greek letters included.

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Over on Peoplenomics this morning, subscribers get Book Two of The Ancient Children, a look ahead at The Good War, and another novel concept that fell out of the economics work almost by accident: Friction Pricing. The premise is simple enough to sound dangerous—if AI keeps driving the informational cost of goods and services toward zero, what happens to the rest of the price structure built around patents, legal work, marketing, finance, research, and other forms of informational rent?

That leads to a larger question: once the “thinking” component of price collapses, what is left? Resources, labor, transportation, packaging, energy, and the stubbornly physical parts of civilization that cannot be copied at near-zero marginal cost. That is where the economic story gets interesting, because information may deflate first while food, housing, power, and other physical necessities do not.

After that, this morning’s PN turns back to the real world: floods, fires, war risk, Fed policy, and the latest ChartPack. The market models still lean higher near term, but from an increasingly mature and risk-sensitive position—exactly the kind of setup where one bad data print can turn “holiday optimism” into something much less festive.

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One of the things long-distance sailors learn is that the ocean doesn’t necessarily run on a convenient clock.

Rogue waves are the extreme example. They are real, they statistically cluster under certain conditions, and modern systems are getting better at identifying when the risk environment is right.

But there isn’t a nice little mechanical cycle telling you:

“Big one arrives Tuesday at 2:37.”

Which raises an interesting economic question.

What if the great economic “long waves” work the same way?

Instead of a giant hidden clock somewhere under capitalism, perhaps what we call a long wave is an emergent statistical pattern created when technology, population movement, resource discovery, financing, infrastructure, government policy and regional growth cycles begin stacking on top of one another.

That’s the subject of today’s 29-page Peoplenomics research paper — along with the morning ChartPack. The charts remain broadly constructive into the Labor Day window, although the historical comparisons are getting sufficiently interesting that we’re keeping both eyes open. Today’s subscriber column sets up the argument by comparing economic-cycle behavior with the known mechanics of ocean rogue waves.

Then our Over-the-Horizon software did something interesting.

The latest run suddenly concentrated its strongest temporal pressure in late September, with a mechanical peak around September 26.

Before anyone circles the date in red: we are NOT promoting September 26 as a prediction.

Quite the opposite.

The result is sitting under a diagnostic/audit hold because when horizon software suddenly moves a ridge, the first question should always be:

Did the future move — or did the math?

That’s what real forecasting research ought to look like.

Find the signal. Then try like hell to kill it.

Today’s Peoplenomics has the full paper, ChartPack, and complete OTH run for subscribers.

Interesting morning. Very interesting September.

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Peoplenomics is unusually packed this weekend. The written side runs about 4,600 words, backed by a 40-page ChartPack — and for readers who don’t want to chew through the whole thing in one sitting, we’ve added a new Quick Read Coach pointing directly to the five charts that matter most.

Markets first: the Bull may not be dead yet. Our technical work still leaves room for one more run higher into Labor Day, although the larger setup is getting increasingly uncomfortable. The ChartPack revisits the developing 1929/2026 market comparison, state-variance extremes, moving-average structures, the Peoplenomics Aggregate, and what could amount to a final blow-off phase before autumn gets considerably more interesting.

But markets are only part of today’s report.

We begin with “Nightmare on Oil Street,” a scenario exercise showing how two individually manageable geopolitical events could suddenly couple — Iran, China, Russia, Ukraine, energy, shipping, food and financial markets all feeding into one another faster than policymakers can react. That leads directly into our recent work on Synthetic Time: missiles, markets, computers and communications keep getting faster, while humans remain stuck moving through time at one second per second.

Then comes something stranger: The Titor Template. Starting with the old John Titor story, we ask whether there is a broader technological rule hiding underneath it — that whenever the present becomes contaminated or too noisy for high-precision work, civilization starts reaching backward for cleaner pre-contamination resources. Low-background steel is one example. Ancient lead is another. And increasingly, pre-generative-AI human text may become another.

We also unveil the first serious Over-the-Horizon Software report, an experiment designed to test two questions: whether ordinary news contains measurable information about the future below normal perception levels, and whether the “predictor” class adds anything useful beyond conventional information flow.

Add the News Compressor, current geopolitical developments, and the setup for Wednesday’s next Long Wave paper — “Rogue Waves inside the Long Wave” — and this is one of those Peoplenomics issues best read slowly.

Subscribers know where to find it.

Forty pages of charts.  Plus  about 4,600 words of deep thinking. And enough future to ruin a perfectly good Saturday.

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