← Back to show

Science Week — #11

September 22, 2026 · 00:16:05

NASA Confirms Largest Recent Lunar Crater, 222 Meters Wide · Lead-Based Ink Boosts X-Ray Detection of Herculaneum Scrolls · Study Maps Roman Roads, Puts Constantinople at Network Center

Chapters

Transcript

What if I told you your brain might actually be two evolutionary stories stitched together? Welcome to Science Week, episode 11 — the science of the week for September 22 — where this kind of rethink is exactly what caught our eye.

It is a very good place to start. And we have a crisp tour for the week: a new take on how the brain develops, a shy new wild cat in Bolivia, a map of Rome’s roads that puts Constantinople center stage, a distinctly fresh scar on the Moon, a long-life outlook for a major space telescope, and a clever way to read ancient texts without unrolling them.

Also known as “how to travel thousands of years, thousands of miles, and a quarter million miles, all in about twelve minutes.” Let’s start with the brain — and then we’ll get to that very big new lunar crater a little later.

Stanford Medicine researchers reported that the forebrain and the hindbrain develop from separate progenitor cells — and they framed that as redefining the human brain as two independent evolutionary organs. On top of that, they say this opens the door to new laboratory models for brain-stem diseases.

Right. The core reported finding is about development: separate progenitor cells — meaning the early cell populations that give rise to tissues — for the forebrain and the hindbrain. From that, they draw the interpretation that these regions may be considered independent evolutionary organs. That is a big conceptual claim, and it is the team’s framing of their own results.

The “two organs” line is striking, but what I love is the practical angle: if those developmental lineages are distinct, you can build more precise lab models that reflect the biology you’re actually trying to understand — especially for brain-stem diseases.

With a caution flag, as usual. The announcement characterizes what the researchers “reported,” but we don’t have details here about the size of the datasets, the exact model systems used, or how many independent lines of evidence converge. So it’s important to treat “redefining” as the authors’ interpretation rather than a settled consensus.

Fair point. It feels like one of those steps where a lab pushes a new framework, and the field either confirms it and runs with it, or trims it back once more data roll in.

Exactly. Replication and independent confirmation would be the next steps, and especially tests that tie the developmental patterns to functional outcomes. The promise of better lab models is meaningful, but it is still a promise at this stage.

Let’s live for a minute in that medicine-and-health space. The team specifically links this developmental divide to “enabling new laboratory models for brain-stem diseases.” That matters because getting lab models right can accelerate everything before a clinical trial: basic insight, target discovery, and how we screen candidate treatments.

And the phrasing there is careful: enabling models, not delivering therapies. It’s a foundational step. Also, the announcement we have doesn’t list disease names, design details, or validation results for those models. So the sensible reading is: a pathway, not a product.

One thing I appreciate about stories like this is that they remind us how medicine is built on layers. First you get the developmental wiring straight. Then you build models that respect those boundaries. And then — only then — do you test what helps or harms.

That layering is the entire game. And because the forebrain and hindbrain do such different jobs, isolating their developmental paths could reduce the noise in experiments that might otherwise blur the two. But again, the report gives us the direction, not the destination.

We’ll keep an eye out for follow-up numbers — how these models perform and whether other labs adopt them. For now, it’s a strong “watch this space.”

From the brain to the broader tree of life: scientists identified a new small spotted cat species in Bolivia’s cloud forests, in the Yungas. It’s shy, which is very on-brand for a small spotted forest cat, but the news alone has already prompted tourists to visit a nearby sanctuary — even though the animal remains hidden from public view. PBS reported it, and the species has a name: Leopardus tilcayo.

The “new species” line always catches attention, and rightly so. The facts we have are straightforward: identification in Bolivia’s Yungas, a named species, and public interest that outpaces the animal’s willingness to be seen. No claim here about population size, range beyond that region, or conservation status.

The cat’s basically doing the zoological equivalent of “no photos, please,” and the paparazzi are still coming. But on the serious side, even early attention can sometimes channel support to habitat protection and research.

Yes, though we should separate the excitement of discovery from assumptions about how best to protect it. The story doesn’t specify conservation measures. It simply underscores that public interest followed the scientific identification — while the animal itself stays out of sight.

It’s a lovely reminder that our planet still has mysteries with whiskers. And that not everything new wants to be on camera.

Let’s pivot to the human past — still on Earth, but with a data map as our guide. Researchers from Aarhus University, led by Tom Brughmans, mapped the Roman road system and concluded that, after the fourth century, Constantinople functioned as the empire’s primary overland hub, eclipsing Rome. Their analysis examined nearly 190,000 miles of routes across the former empire.

It’s an elegant use of mapping to reframe a historical narrative. The facts are: the group mapped the system, looked across nearly 190,000 miles of routes, focused on the period after the fourth century, and identified Constantinople as the primary overland hub, surpassing Rome in that role.

I like that the study looks at connectivity rather than just prestige. The center of gravity in a network can shift — not because of ego or monuments, but because of routes, links, and where roads actually converged.

And this is a model-based view, drawn from the mapped network. We should not over-interpret it as a complete statement about everything from culture to economics. But as an overland connectivity claim, it’s quite precise: primary hub status after the fourth century moves east to Constantinople.

Also a reminder that infrastructure choices — or even the shape of a landscape — can nudge history. Who was linked to whom, and how quickly you could get from A to B, will do a lot of shaping all by itself.

And the scope here — nearly 190,000 miles of routes across the former empire — gives the conclusion a solid descriptive base. It’s not an anecdote; it’s a map.

Now to space — with a thump. NASA announced that its Lunar Reconnaissance Orbiter detected a fresh crater on the Moon, 222 meters wide. It is the largest such crater recorded since systematic monitoring began. Later, scientists from NASA and the University of California, Los Angeles identified the feature as the McGetchin crater.

A couple of clean facts there: detected by the Lunar Reconnaissance Orbiter, size about 222 meters across, and “fresh” in the sense used by monitoring teams. The “largest since systematic monitoring began” gives important context: we’re talking about the monitoring era, not all of lunar history. And we have the later identification of the feature as the McGetchin crater by NASA and UCLA scientists.

Why does a big fresh crater matter? To me, it’s a moving target for risk and history. It’s how we learn about the pace and scale of impacts still happening today — in our own celestial backyard.

That’s the right frame. And we also have to note what we don’t have from the announcement: no timing of the impact, no specifics on ejection patterns, no origin details. We simply have the detection, the size, and the superlative within the monitoring era. That alone makes it notable.

Also, somewhere on the Moon, there’s a brand new “do not step here” sign. But mostly it’s a data point in the real-time story of how often and how hard things still hit our nearest neighbor.

And each such data point sharpens the baseline against which future events are judged — provided, as always, that we keep the claims to what the data support.

While we’re out in orbit, a bit of long-game good news. NASA said the Nancy Grace Roman Space Telescope used 18 kilograms of its 200-kilogram fuel allotment for its first mid-course correction at the Earth-Sun L2 point. That first burn — about 9 percent of the fuel — still allows NASA to project at least 22 years of possible science operations.

The numbers matter here. Eighteen kilograms used out of a 200-kilogram allotment, for a first mid-course correction. And the projection — at least 22 years of possible science operations — is the agency’s forecast based on that usage profile. The note also points out that earlier NASA reports had indicated the telescope’s trajectory burns were consuming far less fuel than expected.

The phrase “possible science operations” jumps out. It’s careful, but encouraging. If you’re building a mission to look deep and long, a conservative fuel profile is like finding extra time on the clock.

With the standard caveat that a mission’s life depends on many factors, and fuel is just one of them. Still, this is unambiguously good operational news at this stage. And because it’s a first burn at the Earth-Sun L2 point, it sets an early reference for what the mission can budget.

If you’re keeping a scorecard at home, more fuel margin means more science plans that don’t have to be cut. It’s like a road trip where you realize the gas tank is bigger than you thought — and the map just got more interesting.

From space telescopes to ancient scrolls — still a story of seeing more with what you have. Researchers Leah Packard-Grams and Douglas Seiler at the University of California, Berkeley reported that lead-based ink on recreated carbonized papyrus scrolls is more readily detected by X-ray imaging. It’s a finding that enhances AI-driven virtual unrolling of the ancient Herculaneum texts.

The key points are tight: the work is from UC Berkeley, it uses recreated carbonized papyrus scrolls, and it shows that lead-based ink is more readily detected via X-ray imaging, which in turn enhances virtual unrolling efforts. The Herculaneum context matters because those texts are carbonized; you cannot just peel them open.

And because scientists are trying to read them without physically unrolling them, every tiny bump in visibility matters. If lead-based ink stands out more in X-rays, that can help separate letters from background and get you closer to legible words.

With a restraint: the study emphasizes recreated scrolls. That’s an important modeling step, but not a one-to-one guarantee about every ancient artifact. Also, the result is about detection of lead-based ink. The announcement doesn’t claim that all inks are equally detectable, or that every Herculaneum text used the same formulations.

Right — it’s a tool, not a magic spell. Still, “lead-based ink is more readily detected by X-ray” is exactly the kind of bounded, testable insight that moves a technical challenge forward.

And the “enhances” phrasing is modest and appropriate. It does not overclaim. It suggests an improvement in a pipeline that already exists — AI-driven virtual unrolling — by sharpening one of the inputs.

Let’s take a breath and look across the week. We’ve got a new crater on the Moon, a telescope pacing itself for decades, a brain that may be two evolutionary organs, a cat that refuses to be seen, Roman roads converging on Constantinople, and X-rays catching ink that eyes can’t. What ties these together for me is the quiet power of mapping.

Mapping in a broad sense, yes — tracing lineages in development, charting roads in an empire, tracking impact scars, plotting a trajectory that conserves fuel, and resolving the structure of ink inside a scroll. Different domains, same instinct: represent the hidden structure well enough to make better decisions about what to test next.

And the humility that runs through all of them. The brain result is big, but framed as a report that invites confirmation. The wild cat exists, and chooses privacy. The Roman roads tell you that fame is not the same as connectivity. Even the Moon is still changing in ways we’re learning to measure. And the scrolls — well, they gently insist we do the reading the hard way.

The universe is not short on ways to hide information. But we are also not short on methods to coax it out, provided we respect what the data actually say and stop where the evidence stops.

That’s the sweet spot: wonder with guardrails. It keeps you curious, and it keeps you honest.

If you want more of this — the week’s science, but also what matters to you — head to factslane.com or grab the app in the App Store or on Google Play. Pick your topics, people, companies, places, and FactsLane keeps track and catches you up with checked facts.

And while you’re there, check out the other weekly shows: Good Week for a brighter look at the world, and Tech Week for what’s changing in technology — both with the same calm, factual lens.

That’s it for us this week. Thanks for listening, and for giving your curiosity some exercise. We’ll be back with more next week — until then, stay curious and take good care.

See you next week.