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🪐 Astronomers Found Two Giant Planets Less Dense Than Cotton Candy
Astronomers have confirmed the existence of two of the puffiest planets ever discovered — gas giants roughly the size of Jupiter, but with densities so low they are less dense than cotton candy.
The pair, named TOI-791 b and TOI-791 c, orbit an F7-type star about 1,110 light-years from Earth in the southern constellation Volans. Their numbers are almost hard to believe: TOI-791 b has an average density of just 0.038 g/cm³, while TOI-791 c comes in at 0.047 g/cm³.
For comparison, Jupiter’s average density is about 1.33 g/cm³. Cotton candy is roughly 0.05 g/cm³. Earth is around 5.5 g/cm³.
That makes these planets not just “fluffy” by astronomical standards — they are among the lowest-density giant planets ever detected.
The discovery, published in Monthly Notices of the Royal Astronomical Society, is especially valuable because the two planets appear to be locked in a rare 5:3 orbital resonance: for every five orbits of the inner planet, the outer one completes almost exactly three. This gravitational interaction slightly shifts the timing of their transits across the star, allowing astronomers to estimate their masses.
🔹 The planets were first spotted by volunteers in the Planet Hunters TESS citizen-science project
🔹 Confirmation required eight years of observations
🔹 Data from the ASTEP telescope at Antarctica’s Concordia Station were crucial
🔹 Each transit lasts more than 11 hours — unusually long for ground-based observations
🔹 Only a handful of systems are known to contain multiple super-puff planets
The leading idea is that these worlds may have relatively small cores surrounded by enormous hydrogen- and helium-rich atmospheres. But exactly how such diffuse planets form — and how they keep their atmospheres for so long — remains an open question.
Important caveat: these measurements come from transits and orbital timing effects, not from direct imaging. The densities are robust within the current model, but the planets’ true atmospheric composition will require follow-up observations — potentially with the James Webb Space Telescope.
Super-puff planets are strange because they sit at the edge of what our planet-formation models can comfortably explain.
If a giant planet can be less dense than cotton candy and still hold itself together, what else is out there that our theories have not yet learned to expect?
📄 Source: https://academic.oup.com/mnras/article-lookup/doi/10.1093/mnras/stag864
#exoplanets #astronomy #space #TESS #superpuffs
Astronomers have confirmed the existence of two of the puffiest planets ever discovered — gas giants roughly the size of Jupiter, but with densities so low they are less dense than cotton candy.
The pair, named TOI-791 b and TOI-791 c, orbit an F7-type star about 1,110 light-years from Earth in the southern constellation Volans. Their numbers are almost hard to believe: TOI-791 b has an average density of just 0.038 g/cm³, while TOI-791 c comes in at 0.047 g/cm³.
For comparison, Jupiter’s average density is about 1.33 g/cm³. Cotton candy is roughly 0.05 g/cm³. Earth is around 5.5 g/cm³.
That makes these planets not just “fluffy” by astronomical standards — they are among the lowest-density giant planets ever detected.
The discovery, published in Monthly Notices of the Royal Astronomical Society, is especially valuable because the two planets appear to be locked in a rare 5:3 orbital resonance: for every five orbits of the inner planet, the outer one completes almost exactly three. This gravitational interaction slightly shifts the timing of their transits across the star, allowing astronomers to estimate their masses.
🔹 The planets were first spotted by volunteers in the Planet Hunters TESS citizen-science project
🔹 Confirmation required eight years of observations
🔹 Data from the ASTEP telescope at Antarctica’s Concordia Station were crucial
🔹 Each transit lasts more than 11 hours — unusually long for ground-based observations
🔹 Only a handful of systems are known to contain multiple super-puff planets
The leading idea is that these worlds may have relatively small cores surrounded by enormous hydrogen- and helium-rich atmospheres. But exactly how such diffuse planets form — and how they keep their atmospheres for so long — remains an open question.
Important caveat: these measurements come from transits and orbital timing effects, not from direct imaging. The densities are robust within the current model, but the planets’ true atmospheric composition will require follow-up observations — potentially with the James Webb Space Telescope.
Super-puff planets are strange because they sit at the edge of what our planet-formation models can comfortably explain.
If a giant planet can be less dense than cotton candy and still hold itself together, what else is out there that our theories have not yet learned to expect?
📄 Source: https://academic.oup.com/mnras/article-lookup/doi/10.1093/mnras/stag864
#exoplanets #astronomy #space #TESS #superpuffs
OUP Academic
ASTEP confirmation of a pair of long-period Jupiter-sized planets with extremely low densities transiting TOI-791
ABSTRACT. Gas giant planets with periods $20~\lt ~P~\lt ~300~\rm d$ orbiting Sun-like stars are a relatively uncommon outcome of planetary formation, and k
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🌋 Yellowstone May Not Be Powered by a Deep Mantle Plume After All
Yellowstone is one of Earth’s most famous supervolcanoes — and for decades, many geologists explained it with a familiar image: a deep mantle plume, a vertical column of hot rock rising from near Earth’s core, similar to the plume that built Hawaii.
A new study in Science suggests a very different mechanism.
Researchers built a high-resolution 3D geodynamic model of western North America and found that Yellowstone’s magma may be supplied not by a deep plume, but by the shallow asthenosphere — the hot, slowly flowing layer of mantle just beneath the rigid lithosphere.
The driver is what the authors call an eastward “mantle wind”: a broad horizontal flow of hot rock moving beneath North America at geologic speeds.
This flow appears to be linked to the ancient Farallon Plate, which began sliding beneath North America tens of millions of years ago. Remnants of that plate still sit deep under the continent. As they continue to sink, they help generate a large-scale mantle flow that pushes hot asthenospheric material toward Yellowstone.
Then comes the key part: as this buoyant material is forced beneath the thick continental lithosphere, the stretching and pressure changes trigger decompression melting — producing magma without requiring a deep plume rising from the core-mantle boundary.
The model also helps explain Yellowstone’s unusual underground plumbing. Competing tectonic forces appear to tear the lithosphere beneath the region, creating a southwest-dipping channel. This channel acts like a pathway for magma to rise, spread and evolve into a vast “magma mush” system rather than a simple, long-lived liquid magma chamber.
Why it matters: supereruptions can eject more than 1,000 cubic kilometers of material, blanket huge regions in ash and affect climate for years. Understanding what actually sustains systems like Yellowstone is crucial for long-term volcanic hazard models.
The big takeaway: Yellowstone may be less like a blowtorch from Earth’s deep interior — and more like a tectonic wound kept active by the slow, hidden motion of an ancient plate.
Source:
https://www.science.org/doi/10.1126/science.ady2027
Readable summary:
https://www.sciencedaily.com/releases/2026/06/260622014317.htm
#Yellowstone #Supervolcano #Geology #EarthScience #Science
Yellowstone is one of Earth’s most famous supervolcanoes — and for decades, many geologists explained it with a familiar image: a deep mantle plume, a vertical column of hot rock rising from near Earth’s core, similar to the plume that built Hawaii.
A new study in Science suggests a very different mechanism.
Researchers built a high-resolution 3D geodynamic model of western North America and found that Yellowstone’s magma may be supplied not by a deep plume, but by the shallow asthenosphere — the hot, slowly flowing layer of mantle just beneath the rigid lithosphere.
The driver is what the authors call an eastward “mantle wind”: a broad horizontal flow of hot rock moving beneath North America at geologic speeds.
This flow appears to be linked to the ancient Farallon Plate, which began sliding beneath North America tens of millions of years ago. Remnants of that plate still sit deep under the continent. As they continue to sink, they help generate a large-scale mantle flow that pushes hot asthenospheric material toward Yellowstone.
Then comes the key part: as this buoyant material is forced beneath the thick continental lithosphere, the stretching and pressure changes trigger decompression melting — producing magma without requiring a deep plume rising from the core-mantle boundary.
The model also helps explain Yellowstone’s unusual underground plumbing. Competing tectonic forces appear to tear the lithosphere beneath the region, creating a southwest-dipping channel. This channel acts like a pathway for magma to rise, spread and evolve into a vast “magma mush” system rather than a simple, long-lived liquid magma chamber.
Why it matters: supereruptions can eject more than 1,000 cubic kilometers of material, blanket huge regions in ash and affect climate for years. Understanding what actually sustains systems like Yellowstone is crucial for long-term volcanic hazard models.
The big takeaway: Yellowstone may be less like a blowtorch from Earth’s deep interior — and more like a tectonic wound kept active by the slow, hidden motion of an ancient plate.
Source:
https://www.science.org/doi/10.1126/science.ady2027
Readable summary:
https://www.sciencedaily.com/releases/2026/06/260622014317.htm
#Yellowstone #Supervolcano #Geology #EarthScience #Science
Science
Tectonic origin of Yellowstone’s translithospheric magma plumbing system
Yellowstone is widely recognized for its crustal magma reservoirs replenished by asthenospheric melts. However, how primary melts traverse the rigid lithosphere and evolve into bimodal volcanism remains unclear. By leveraging multidisciplinary ...
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🌞 The Sun Is Waking Up Fast — A Major X-Class Solar Flare Could Happen at Any Moment
Solar activity has accelerated dramatically over the past 48 hours, and space weather scientists are watching closely.
The number of solar flares has surged from 5 per day two days ago, to 8 yesterday, and 17 within the last 24 hours. This morning, the Sun produced its first M-class flares of the current activity spike — leaving only the most powerful category, X-class, yet to appear.
What’s making scientists especially cautious is the location of the Sun’s largest active region of 2026. It is currently facing almost directly toward Earth. Surprisingly, despite its enormous size, it has not yet produced a single X-class flare. Earlier this year, another large sunspot group generated five X-class flares, including the year’s strongest event, X8.1. That makes the current quietness look more like the calm before the storm than a sign of stability.
Space-based observations reveal an even more intriguing picture. Two giant sunspot groups that appear separate on the solar surface are actually connected high above it in the corona, forming a single, highly complex magnetic system. These intertwined magnetic fields continuously exchange energy. On one hand, this can relieve local magnetic stress. On the other, it effectively creates one enormous energy reservoir capable of producing an exceptionally powerful eruption.
Predicting exactly when that energy will be released remains one of the biggest challenges in solar physics. Most of the Sun’s magnetic field lies hidden beneath the visible surface, beyond direct observation, making even the most sophisticated computer models unreliable for systems this complex.
For now, an X-class solar flare could occur at virtually any time. If accompanied by a coronal mass ejection directed toward Earth, it could trigger strong geomagnetic storms, spectacular auroras at unusually low latitudes, and temporary disruptions to satellites, radio communications, and navigation systems.
🔭 The Sun is reminding us that even after centuries of observation, our nearest star can still surprise us.
#Science #Astronomy #Sun #SolarFlare #SpaceWeather #SolarStorm #Heliophysics
Solar activity has accelerated dramatically over the past 48 hours, and space weather scientists are watching closely.
The number of solar flares has surged from 5 per day two days ago, to 8 yesterday, and 17 within the last 24 hours. This morning, the Sun produced its first M-class flares of the current activity spike — leaving only the most powerful category, X-class, yet to appear.
What’s making scientists especially cautious is the location of the Sun’s largest active region of 2026. It is currently facing almost directly toward Earth. Surprisingly, despite its enormous size, it has not yet produced a single X-class flare. Earlier this year, another large sunspot group generated five X-class flares, including the year’s strongest event, X8.1. That makes the current quietness look more like the calm before the storm than a sign of stability.
Space-based observations reveal an even more intriguing picture. Two giant sunspot groups that appear separate on the solar surface are actually connected high above it in the corona, forming a single, highly complex magnetic system. These intertwined magnetic fields continuously exchange energy. On one hand, this can relieve local magnetic stress. On the other, it effectively creates one enormous energy reservoir capable of producing an exceptionally powerful eruption.
Predicting exactly when that energy will be released remains one of the biggest challenges in solar physics. Most of the Sun’s magnetic field lies hidden beneath the visible surface, beyond direct observation, making even the most sophisticated computer models unreliable for systems this complex.
For now, an X-class solar flare could occur at virtually any time. If accompanied by a coronal mass ejection directed toward Earth, it could trigger strong geomagnetic storms, spectacular auroras at unusually low latitudes, and temporary disruptions to satellites, radio communications, and navigation systems.
🔭 The Sun is reminding us that even after centuries of observation, our nearest star can still surprise us.
#Science #Astronomy #Sun #SolarFlare #SpaceWeather #SolarStorm #Heliophysics
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🔭 Astronomers Have Just Opened a New Map of the Black Hole Universe
The LIGO–Virgo–KAGRA collaboration has released GWTC-5.0 — the largest gravitational-wave catalog ever assembled.
It adds 161 new detections from the O4b observing run, bringing the total number of observed gravitational-wave events since 2015 to 390. What began as a handful of almost unbelievable signals has now become a real population study of black holes.
The jump is dramatic. The fourth observing run alone now accounts for roughly 75% of all gravitational-wave events detected so far. In LIGO’s first observing run, scientists detected just three events over about four months. Now the network is catching around 3–4 black hole mergers per week.
And the data are starting to reveal something deeper: black holes do not all form the same way.
Some likely come from pairs of massive stars born together. Others may meet later inside dense stellar clusters. The most intriguing group are “second-generation” black holes — objects that were themselves created in earlier black hole mergers, then merged again. Their clue is unusually rapid spin, which can act like a fingerprint of these repeated cosmic collisions.
A few highlights from the new catalog:
— 390 gravitational-wave events in total
— 161 new detections from O4b
— Black hole masses clustering around ~10 and ~35 solar masses
— Evidence for second-generation black holes from hierarchical mergers
— Best sky localization yet: one event narrowed down to just 6 square degrees
— Clearest black hole signal ever recorded, with a signal-to-noise ratio of 76.9
— A new gravitational-wave measurement of the Hubble constant with ~25% improved precision
Why it matters: gravitational-wave astronomy is no longer just about detecting rare cosmic “chirps.” It is becoming a census of an invisible universe — one that can study black hole populations, test general relativity, probe stellar evolution, and even help measure the expansion rate of the cosmos.
The big takeaway: astronomy no longer needs light alone. We are now listening to spacetime itself — and the signal is turning into a map.
📄 LIGO press release: https://www.ligo.caltech.edu/news/ligo20260526
📖 Summary: https://www.sciencealert.com/lost-world-of-gravitational-waves-reveals-the-origins-of-black-holes
#GravitationalWaves #BlackHoles #LIGO #Astrophysics #Cosmology
The LIGO–Virgo–KAGRA collaboration has released GWTC-5.0 — the largest gravitational-wave catalog ever assembled.
It adds 161 new detections from the O4b observing run, bringing the total number of observed gravitational-wave events since 2015 to 390. What began as a handful of almost unbelievable signals has now become a real population study of black holes.
The jump is dramatic. The fourth observing run alone now accounts for roughly 75% of all gravitational-wave events detected so far. In LIGO’s first observing run, scientists detected just three events over about four months. Now the network is catching around 3–4 black hole mergers per week.
And the data are starting to reveal something deeper: black holes do not all form the same way.
Some likely come from pairs of massive stars born together. Others may meet later inside dense stellar clusters. The most intriguing group are “second-generation” black holes — objects that were themselves created in earlier black hole mergers, then merged again. Their clue is unusually rapid spin, which can act like a fingerprint of these repeated cosmic collisions.
A few highlights from the new catalog:
— 390 gravitational-wave events in total
— 161 new detections from O4b
— Black hole masses clustering around ~10 and ~35 solar masses
— Evidence for second-generation black holes from hierarchical mergers
— Best sky localization yet: one event narrowed down to just 6 square degrees
— Clearest black hole signal ever recorded, with a signal-to-noise ratio of 76.9
— A new gravitational-wave measurement of the Hubble constant with ~25% improved precision
Why it matters: gravitational-wave astronomy is no longer just about detecting rare cosmic “chirps.” It is becoming a census of an invisible universe — one that can study black hole populations, test general relativity, probe stellar evolution, and even help measure the expansion rate of the cosmos.
The big takeaway: astronomy no longer needs light alone. We are now listening to spacetime itself — and the signal is turning into a map.
📄 LIGO press release: https://www.ligo.caltech.edu/news/ligo20260526
📖 Summary: https://www.sciencealert.com/lost-world-of-gravitational-waves-reveals-the-origins-of-black-holes
#GravitationalWaves #BlackHoles #LIGO #Astrophysics #Cosmology
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⏳ Scientists Found a Way to Make Quantum Time Look Like It Runs Backward
At our everyday scale, time has a clear direction. Eggs break, coffee cools, and no one has ever un-spilled a glass of water.
But at the quantum scale, the story is stranger. Many fundamental equations work just as well forward or backward in time. The arrow of time appears when a system is measured — because measurement randomly disturbs its state.
Now researchers from Los Alamos National Laboratory, NIST, and the University of Maryland have developed a theoretical control method that can reshape that arrow.
Their idea is based on a “control Hamiltonian” — a precisely designed sequence of fields and pulses that mimics and counteracts the random disturbance caused by quantum measurement. With the right feedback, the system’s trajectory can be made to look as if it is moving backward rather than forward.
To be clear: this is not a time machine.
No one reversed time for people, objects, or the universe. The work shows that, in a monitored quantum system, the appearance of time’s direction can be weakened, blurred, or even inverted.
The team also used the framework to design a quantum version of Maxwell’s demon — a measurement-powered engine that could, in principle, extract useful energy from the act of observation itself. That energy might one day help drive quantum processes or be stored in a quantum battery.
The caveat: this is still mostly a theoretical result. Experimental tests are planned for superconducting qubits, where fast feedback and quantum Maxwell’s demon setups are already technically plausible.
Why it matters: better control over quantum measurement could help with quantum state preparation, more stable quantum computers, and new ways to manage energy at the smallest scales.
The big takeaway: the arrow of time may feel absolute in daily life — but in the quantum world, it can become something engineers may learn to control.
📄 Original paper: https://link.aps.org/doi/10.1103/l18s-9vmh
📖 Los Alamos summary: https://www.lanl.gov/media/news/0319-reshaping-quantum-arrow
📖 ScienceDaily summary: https://www.sciencedaily.com/releases/2026/06/260625014802.htm
#QuantumPhysics #ArrowOfTime #QuantumComputing #Physics
At our everyday scale, time has a clear direction. Eggs break, coffee cools, and no one has ever un-spilled a glass of water.
But at the quantum scale, the story is stranger. Many fundamental equations work just as well forward or backward in time. The arrow of time appears when a system is measured — because measurement randomly disturbs its state.
Now researchers from Los Alamos National Laboratory, NIST, and the University of Maryland have developed a theoretical control method that can reshape that arrow.
Their idea is based on a “control Hamiltonian” — a precisely designed sequence of fields and pulses that mimics and counteracts the random disturbance caused by quantum measurement. With the right feedback, the system’s trajectory can be made to look as if it is moving backward rather than forward.
To be clear: this is not a time machine.
No one reversed time for people, objects, or the universe. The work shows that, in a monitored quantum system, the appearance of time’s direction can be weakened, blurred, or even inverted.
The team also used the framework to design a quantum version of Maxwell’s demon — a measurement-powered engine that could, in principle, extract useful energy from the act of observation itself. That energy might one day help drive quantum processes or be stored in a quantum battery.
The caveat: this is still mostly a theoretical result. Experimental tests are planned for superconducting qubits, where fast feedback and quantum Maxwell’s demon setups are already technically plausible.
Why it matters: better control over quantum measurement could help with quantum state preparation, more stable quantum computers, and new ways to manage energy at the smallest scales.
The big takeaway: the arrow of time may feel absolute in daily life — but in the quantum world, it can become something engineers may learn to control.
📄 Original paper: https://link.aps.org/doi/10.1103/l18s-9vmh
📖 Los Alamos summary: https://www.lanl.gov/media/news/0319-reshaping-quantum-arrow
📖 ScienceDaily summary: https://www.sciencedaily.com/releases/2026/06/260625014802.htm
#QuantumPhysics #ArrowOfTime #QuantumComputing #Physics
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🧬 Harvard Built a Silicon Chip That Can Write DNA Using Electricity and Water
Writing custom DNA has barely changed in decades. Today’s DNA synthesis relies on phosphoramidite chemistry—a highly effective but solvent-intensive process that depends on hazardous chemicals and specialized manufacturing facilities.
Researchers at Harvard have now demonstrated a completely different approach: parallel enzymatic DNA synthesis on a semiconductor chip, controlled simply by electricity in water.
The CMOS chip contains 64 programmable synthesis sites, each surrounded by two concentric ring electrodes. When current flows through the inner ring, it generates protons that create a tiny acidic region—exactly what’s needed to remove the temporary blocking group from a growing DNA strand. At the same time, the outer ring consumes escaping protons, preventing neighboring reactions from interfering with one another.
Using this approach, the team synthesized 64 different DNA sequences, each 38–39 nucleotides long, entirely in an aqueous enzymatic process. Previous demonstrations of parallel enzymatic DNA synthesis were limited to roughly a dozen sequences, making this the largest demonstration of its kind so far.
The hardware has an unusual history. It was originally developed for recording electrical activity from thousands of neurons. The researchers later realized that the same ability to precisely control microscopic electrical currents could also be used to control chemical reactions needed for DNA synthesis.
Key points:
• 64 unique DNA sequences synthesized in parallel
• Water-based enzymatic process instead of traditional solvent-heavy chemistry
• Precise local pH control using dual concentric electrodes
• DNA strands up to 39 nucleotides long
• Demonstrated storage of a 169-byte text message in the synthesized DNA
The technology is still at an early stage. DNA strands of 39 nucleotides are far shorter than real genes, which typically contain thousands of bases. According to the researchers, the main limitation is now the chemistry used to remove temporary protecting groups—not the chip itself—suggesting that future advances may come from improved chemistry rather than new electronics.
If the method can be scaled, it could eventually make DNA manufacturing cleaner, cheaper, and more accessible for synthetic biology, diagnostics, gene therapies, and even DNA-based data storage, one of the highest-density storage media ever proposed.
📄 Nature Electronics: https://www.nature.com/articles/s41928-026-01662-9
🏛 Harvard SEAS: https://seas.harvard.edu/news/making-dna-semiconductor-chip
#DNA #SyntheticBiology #Biotechnology #Semiconductors #DataStorage
Writing custom DNA has barely changed in decades. Today’s DNA synthesis relies on phosphoramidite chemistry—a highly effective but solvent-intensive process that depends on hazardous chemicals and specialized manufacturing facilities.
Researchers at Harvard have now demonstrated a completely different approach: parallel enzymatic DNA synthesis on a semiconductor chip, controlled simply by electricity in water.
The CMOS chip contains 64 programmable synthesis sites, each surrounded by two concentric ring electrodes. When current flows through the inner ring, it generates protons that create a tiny acidic region—exactly what’s needed to remove the temporary blocking group from a growing DNA strand. At the same time, the outer ring consumes escaping protons, preventing neighboring reactions from interfering with one another.
Using this approach, the team synthesized 64 different DNA sequences, each 38–39 nucleotides long, entirely in an aqueous enzymatic process. Previous demonstrations of parallel enzymatic DNA synthesis were limited to roughly a dozen sequences, making this the largest demonstration of its kind so far.
The hardware has an unusual history. It was originally developed for recording electrical activity from thousands of neurons. The researchers later realized that the same ability to precisely control microscopic electrical currents could also be used to control chemical reactions needed for DNA synthesis.
Key points:
• 64 unique DNA sequences synthesized in parallel
• Water-based enzymatic process instead of traditional solvent-heavy chemistry
• Precise local pH control using dual concentric electrodes
• DNA strands up to 39 nucleotides long
• Demonstrated storage of a 169-byte text message in the synthesized DNA
The technology is still at an early stage. DNA strands of 39 nucleotides are far shorter than real genes, which typically contain thousands of bases. According to the researchers, the main limitation is now the chemistry used to remove temporary protecting groups—not the chip itself—suggesting that future advances may come from improved chemistry rather than new electronics.
If the method can be scaled, it could eventually make DNA manufacturing cleaner, cheaper, and more accessible for synthetic biology, diagnostics, gene therapies, and even DNA-based data storage, one of the highest-density storage media ever proposed.
📄 Nature Electronics: https://www.nature.com/articles/s41928-026-01662-9
🏛 Harvard SEAS: https://seas.harvard.edu/news/making-dna-semiconductor-chip
#DNA #SyntheticBiology #Biotechnology #Semiconductors #DataStorage
Nature
Parallel enzymatic DNA synthesis using a semiconductor chip
Nature Electronics - An array of 256 ring-electrode pairs fabricated on a complementary metal–oxide–semiconductor integrated circuit that can control local acidity and induce parallel...
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🐸 A Frog Gut Bacterium Eliminated Colorectal Tumors in Mice
A bacterium found in the gut of Japanese tree frogs has shown a striking anti-cancer effect in mice.
Researchers at the Japan Advanced Institute of Science and Technology (JAIST) screened 45 bacterial strains isolated from amphibians and reptiles, including Japanese tree frogs, fire belly newts, and grass lizards. One strain stood out: Ewingella americana, a naturally occurring bacterium from the intestines of the Japanese tree frog.
In a mouse model of colorectal cancer, a single intravenous dose of E. americana led to complete tumor elimination in all treated mice — a 100% complete response rate in that experiment.
The bacterium appears to work in two ways.
First, it accumulates inside tumors, where oxygen levels are low and blood vessels are unusually leaky. Once there, the bacterial population increased by roughly 3,000 times within 24 hours, directly damaging cancer cells.
Second, it seems to wake up the immune system. The treatment attracted T cells, B cells, and neutrophils into the tumor and boosted inflammatory signals such as TNF-α and IFN-γ, helping the body attack the cancer more aggressively.
The safety data in mice were also encouraging. The bacteria disappeared from the bloodstream within 24 hours, did not colonize healthy organs such as the liver, spleen, lungs, kidneys, or heart, and caused only temporary mild inflammation. Over a 60-day observation period, the researchers reported no chronic toxicity.
But the caveat is essential: this is still mouse research.
Many cancer therapies look spectacular in preclinical models and fail later in humans. A living bacterium injected into the bloodstream would face a much higher safety bar in people, and the human immune response could be very different.
Still, the study is an unusually strong proof of concept for bacterial cancer therapy. Instead of simply changing the gut microbiome, the researchers used a living bacterium as a tumor-targeting agent — one that both attacks cancer cells and recruits the immune system.
The big takeaway: one of the next ideas in cancer therapy may come not from a synthetic drug library, but from the gut of a frog.
Original paper, Gut Microbes:
https://www.tandfonline.com/doi/full/10.1080/19490976.2025.2599562
DOI:
https://doi.org/10.1080/19490976.2025.2599562
ScienceDaily summary:
https://www.sciencedaily.com/releases/2026/07/260709160655.htm
JAIST press release:
https://www.jaist.ac.jp/english/whatsnew/press/2025/12/17-1.html
#CancerResearch #Microbiome #Immunotherapy #Biotech
A bacterium found in the gut of Japanese tree frogs has shown a striking anti-cancer effect in mice.
Researchers at the Japan Advanced Institute of Science and Technology (JAIST) screened 45 bacterial strains isolated from amphibians and reptiles, including Japanese tree frogs, fire belly newts, and grass lizards. One strain stood out: Ewingella americana, a naturally occurring bacterium from the intestines of the Japanese tree frog.
In a mouse model of colorectal cancer, a single intravenous dose of E. americana led to complete tumor elimination in all treated mice — a 100% complete response rate in that experiment.
The bacterium appears to work in two ways.
First, it accumulates inside tumors, where oxygen levels are low and blood vessels are unusually leaky. Once there, the bacterial population increased by roughly 3,000 times within 24 hours, directly damaging cancer cells.
Second, it seems to wake up the immune system. The treatment attracted T cells, B cells, and neutrophils into the tumor and boosted inflammatory signals such as TNF-α and IFN-γ, helping the body attack the cancer more aggressively.
The safety data in mice were also encouraging. The bacteria disappeared from the bloodstream within 24 hours, did not colonize healthy organs such as the liver, spleen, lungs, kidneys, or heart, and caused only temporary mild inflammation. Over a 60-day observation period, the researchers reported no chronic toxicity.
But the caveat is essential: this is still mouse research.
Many cancer therapies look spectacular in preclinical models and fail later in humans. A living bacterium injected into the bloodstream would face a much higher safety bar in people, and the human immune response could be very different.
Still, the study is an unusually strong proof of concept for bacterial cancer therapy. Instead of simply changing the gut microbiome, the researchers used a living bacterium as a tumor-targeting agent — one that both attacks cancer cells and recruits the immune system.
The big takeaway: one of the next ideas in cancer therapy may come not from a synthetic drug library, but from the gut of a frog.
Original paper, Gut Microbes:
https://www.tandfonline.com/doi/full/10.1080/19490976.2025.2599562
DOI:
https://doi.org/10.1080/19490976.2025.2599562
ScienceDaily summary:
https://www.sciencedaily.com/releases/2026/07/260709160655.htm
JAIST press release:
https://www.jaist.ac.jp/english/whatsnew/press/2025/12/17-1.html
#CancerResearch #Microbiome #Immunotherapy #Biotech
Taylor & Francis
Discovery and characterization of antitumor gut microbiota from amphibians and reptiles: Ewingella americana as a novel therapeutic…
The utilization of gut microbiota in cancer therapy has attracted considerable attention as an emerging therapeutic frontier. In this study, we systematically evaluated the antitumor effects of nin...
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🤖 NEO Just Got New Hands
25 degrees of freedom.
Still far from matching the human hand, of course — but the progress is impressive.
The company calls them an “API to the physical world.”
https://www.1x.tech/discover/neos-hands
#Robotics #NEO #RobotHands #gadget #science
25 degrees of freedom.
Still far from matching the human hand, of course — but the progress is impressive.
The company calls them an “API to the physical world.”
https://www.1x.tech/discover/neos-hands
#Robotics #NEO #RobotHands #gadget #science
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🌊 Scientists Find Why Some Animals Survived Earth’s Worst Mass Extinction
About 252 million years ago, the Permian–Triassic extinction erased most marine species and permanently reshaped life in the oceans. A new Stanford-led study suggests that survival depended partly on how animals’ oxygen requirements changed as the water warmed.
Researchers measured oxygen consumption in living brachiopods and other animals representing the “Paleozoic” and modern marine faunas. At cooler temperatures, brachiopods could tolerate remarkably low oxygen levels. But as the water warmed, the minimum amount of oxygen they needed rose much faster.
Their slow metabolism was not the problem by itself. More active groups generally had muscles, gills and respiratory systems better able to supply additional oxygen under heat stress.
This may explain why brachiopods and crinoids were devastated, while bivalves, snails, fish and echinoderms suffered fewer losses and later came to dominate the oceans.
The extinction was therefore not completely random — but metabolism was not the only factor either. Warming and ocean deoxygenation acted through animals’ physiology, alongside stresses such as acidification.
Modern oceans are also warming and losing oxygen. The study does not predict another “Great Dying,” but it shows how strongly climate can favour some body plans over others.
Could the next reshuffling of ocean life be determined by which animals can keep breathing as the water heats up?
📄 Study: https://www.pnas.org/doi/10.1073/pnas.2533086123
#Paleontology #MassExtinction #MarineBiology #OceanWarming #ClimateChange
About 252 million years ago, the Permian–Triassic extinction erased most marine species and permanently reshaped life in the oceans. A new Stanford-led study suggests that survival depended partly on how animals’ oxygen requirements changed as the water warmed.
Researchers measured oxygen consumption in living brachiopods and other animals representing the “Paleozoic” and modern marine faunas. At cooler temperatures, brachiopods could tolerate remarkably low oxygen levels. But as the water warmed, the minimum amount of oxygen they needed rose much faster.
Their slow metabolism was not the problem by itself. More active groups generally had muscles, gills and respiratory systems better able to supply additional oxygen under heat stress.
This may explain why brachiopods and crinoids were devastated, while bivalves, snails, fish and echinoderms suffered fewer losses and later came to dominate the oceans.
The extinction was therefore not completely random — but metabolism was not the only factor either. Warming and ocean deoxygenation acted through animals’ physiology, alongside stresses such as acidification.
Modern oceans are also warming and losing oxygen. The study does not predict another “Great Dying,” but it shows how strongly climate can favour some body plans over others.
Could the next reshuffling of ocean life be determined by which animals can keep breathing as the water heats up?
📄 Study: https://www.pnas.org/doi/10.1073/pnas.2533086123
#Paleontology #MassExtinction #MarineBiology #OceanWarming #ClimateChange
PNAS
Differences in physiological tolerance to global warming caused the Permian–Triassic transition between the Paleozoic and Modern…
The rapid global climate change at the end of the Permian Period (~251.9 Mya) coincided with the greatest macroevolutionary faunal turnover event i...
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🌌 We @science May Have Finally Figured Out Why the Universe Is Expanding…
The explanation is surprisingly simple.
Large language models operate using tokens. Every time a model generates a new response, it processes the accumulated context of the conversation.
As the dialogue grows, each new message adds more information — while the model must repeatedly process everything that came before. The total amount of processed information therefore grows almost geometrically within every conversation.
Now imagine that the Universe is actually one enormous artificial intelligence.
Every new star, planet, living organism, human thought, cat video, and online argument adds more tokens to the global conversation. The context keeps growing in geometric progression, so the system needs more and more space to process it all.
That is why the Universe is expanding.
Dark energy may have nothing to do with it. Someone simply forgot to click “Start a new chat.” 😅
#science #space #universe #AI
The explanation is surprisingly simple.
Large language models operate using tokens. Every time a model generates a new response, it processes the accumulated context of the conversation.
As the dialogue grows, each new message adds more information — while the model must repeatedly process everything that came before. The total amount of processed information therefore grows almost geometrically within every conversation.
Now imagine that the Universe is actually one enormous artificial intelligence.
Every new star, planet, living organism, human thought, cat video, and online argument adds more tokens to the global conversation. The context keeps growing in geometric progression, so the system needs more and more space to process it all.
That is why the Universe is expanding.
Dark energy may have nothing to do with it. Someone simply forgot to click “Start a new chat.” 😅
#science #space #universe #AI
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🧬 Semaglutide May Slow Biological Aging, First Randomized Human Evidence Suggests
GLP-1 drugs such as semaglutide are already well known for treating obesity and type 2 diabetes. Now, researchers at UC San Diego report the first randomized placebo-controlled evidence that the drug may also slow biological aging — at least as measured by epigenetic aging clocks.
The team analyzed DNA methylation data from a 32-week, double-blind clinical trial involving 108 adults with HIV-associated lipohypertrophy. Participants received either weekly semaglutide injections or placebo. Researchers then used multiple epigenetic clocks — molecular biomarkers that estimate biological aging from chemical modifications to DNA — to evaluate changes in aging rate.
The results, published in Nature Communications, showed that semaglutide significantly slowed several independent measures of biological aging. On the DunedinPACE clock, the pace of aging slowed by about 9%. Significant improvements were also observed with the PCGrimAge clock, which is associated with mortality and age-related disease risk.
A separate 24-week pilot study in people with HIV and fatty liver disease reported that about 42% of participants showed a reduction in DunedinPACE after semaglutide treatment, although that study had no placebo control and should be interpreted cautiously.
In simple terms: epigenetic clocks don’t measure your chronological age. They estimate how quickly the molecular processes associated with aging are progressing. A 9% reduction means these biomarkers changed more slowly during treatment — not that people became 9% younger.
Scientists think several mechanisms may contribute. Semaglutide reduces chronic inflammation, decreases harmful visceral fat, and improves metabolic health — all processes linked to accelerated aging. These changes may influence molecular pathways involved in aging across multiple organ systems.
Key findings:
• ~9% slower pace of aging on the DunedinPACE clock
• Significant improvement in the PCGrimAge mortality-risk clock
• Similar effects across several independent epigenetic aging clocks
• A separate pilot study found ~42% of participants showed slower epigenetic aging after treatment
The study also has important limitations. This was a post hoc exploratory analysis, not a trial originally designed to study aging. Participants all had HIV-associated lipohypertrophy, a condition associated with accelerated biological aging, so the findings cannot yet be generalized to healthy individuals. Most importantly, improvements in epigenetic clocks do not prove that semaglutide extends lifespan or healthspan. Those questions will require much longer clinical studies.
Why it matters: Tens of millions of people already take GLP-1 drugs worldwide. If future studies confirm these findings in broader populations, semaglutide could become one of the first widely used medications shown to influence molecular biomarkers of human aging — extending its impact far beyond weight loss.
📄 https://www.nature.com/articles/s41467-026-72861-3
#Longevity #Semaglutide #GLP1 #Aging #Healthspan
GLP-1 drugs such as semaglutide are already well known for treating obesity and type 2 diabetes. Now, researchers at UC San Diego report the first randomized placebo-controlled evidence that the drug may also slow biological aging — at least as measured by epigenetic aging clocks.
The team analyzed DNA methylation data from a 32-week, double-blind clinical trial involving 108 adults with HIV-associated lipohypertrophy. Participants received either weekly semaglutide injections or placebo. Researchers then used multiple epigenetic clocks — molecular biomarkers that estimate biological aging from chemical modifications to DNA — to evaluate changes in aging rate.
The results, published in Nature Communications, showed that semaglutide significantly slowed several independent measures of biological aging. On the DunedinPACE clock, the pace of aging slowed by about 9%. Significant improvements were also observed with the PCGrimAge clock, which is associated with mortality and age-related disease risk.
A separate 24-week pilot study in people with HIV and fatty liver disease reported that about 42% of participants showed a reduction in DunedinPACE after semaglutide treatment, although that study had no placebo control and should be interpreted cautiously.
In simple terms: epigenetic clocks don’t measure your chronological age. They estimate how quickly the molecular processes associated with aging are progressing. A 9% reduction means these biomarkers changed more slowly during treatment — not that people became 9% younger.
Scientists think several mechanisms may contribute. Semaglutide reduces chronic inflammation, decreases harmful visceral fat, and improves metabolic health — all processes linked to accelerated aging. These changes may influence molecular pathways involved in aging across multiple organ systems.
Key findings:
• ~9% slower pace of aging on the DunedinPACE clock
• Significant improvement in the PCGrimAge mortality-risk clock
• Similar effects across several independent epigenetic aging clocks
• A separate pilot study found ~42% of participants showed slower epigenetic aging after treatment
The study also has important limitations. This was a post hoc exploratory analysis, not a trial originally designed to study aging. Participants all had HIV-associated lipohypertrophy, a condition associated with accelerated biological aging, so the findings cannot yet be generalized to healthy individuals. Most importantly, improvements in epigenetic clocks do not prove that semaglutide extends lifespan or healthspan. Those questions will require much longer clinical studies.
Why it matters: Tens of millions of people already take GLP-1 drugs worldwide. If future studies confirm these findings in broader populations, semaglutide could become one of the first widely used medications shown to influence molecular biomarkers of human aging — extending its impact far beyond weight loss.
📄 https://www.nature.com/articles/s41467-026-72861-3
#Longevity #Semaglutide #GLP1 #Aging #Healthspan
Nature
Semaglutide slows epigenetic aging in a randomized trial of HIV-associated lipohypertrophy
Nature Communications - Semaglutide is a glucagon-like peptide-1 (GLP-1) with a potential gerotherapeutic role. This post-hoc analysis of a phase 2b trial in adults with HIV associated...
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Elon Musk predicts that programming will "die" by the end of the year due to AI. @science
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💻 Classical Computers Just Overturned a Major Quantum Advantage Claim
In 2025, researchers used D-Wave’s Advantage2 quantum annealer to simulate the dynamics of hundreds of interacting qubits — and argued that the task was beyond the reach of classical computers.
A team from the Flatiron Institute and Boston University has now reproduced those results using classical algorithms and relatively modest hardware. Some of the initial calculations even ran on a personal laptop.
The challenge involved quantum spin glasses: disordered systems in which hundreds of interacting qubits evolve across two- and three-dimensional lattices. Tracking the complete quantum wave function directly would require an amount of memory that grows exponentially with the number of qubits.
The researchers avoided that explosion using tensor networks — mathematical structures that compress a quantum state by retaining its most important correlations.
Think of it as a highly specialized zip file for quantum information.
They combined tensor networks with belief propagation, an algorithm developed in the 1980s and recently adapted for quantum systems. The calculations were implemented using ITensor, a high-performance tensor-network software library.
The classical simulations:
• reproduced the quantum computer’s results
• matched theoretical predictions and exact benchmarks
• scaled to systems containing hundreds of qubits
• captured quantum dynamics in complex 3D lattice geometries
There is one important caveat: the entire study was not completed on an ordinary laptop. A laptop was sufficient for some early calculations, while the largest simulations required more powerful conventional processors and GPUs.
Still, the result directly challenges the earlier claim that this particular problem was beyond classical computation.
It does not mean quantum computers are useless. It means that demonstrating genuine quantum advantage requires beating the best classical algorithms available — not merely the best ones researchers happened to test previously.
The boundary between classical and quantum computing is not fixed. Every improvement in quantum hardware gives classical researchers a new target, while every better classical algorithm raises the bar for quantum advantage.
Sometimes the strongest competitor to a quantum computer is not another quantum computer.
It is better mathematics.
📄 Paper: Dynamics of disordered quantum systems with two- and three-dimensional tensor networks
https://www.science.org/doi/10.1126/science.adx2728
#QuantumComputing #Physics #TensorNetworks #ClassicalComputing #QuantumPhysics
In 2025, researchers used D-Wave’s Advantage2 quantum annealer to simulate the dynamics of hundreds of interacting qubits — and argued that the task was beyond the reach of classical computers.
A team from the Flatiron Institute and Boston University has now reproduced those results using classical algorithms and relatively modest hardware. Some of the initial calculations even ran on a personal laptop.
The challenge involved quantum spin glasses: disordered systems in which hundreds of interacting qubits evolve across two- and three-dimensional lattices. Tracking the complete quantum wave function directly would require an amount of memory that grows exponentially with the number of qubits.
The researchers avoided that explosion using tensor networks — mathematical structures that compress a quantum state by retaining its most important correlations.
Think of it as a highly specialized zip file for quantum information.
They combined tensor networks with belief propagation, an algorithm developed in the 1980s and recently adapted for quantum systems. The calculations were implemented using ITensor, a high-performance tensor-network software library.
The classical simulations:
• reproduced the quantum computer’s results
• matched theoretical predictions and exact benchmarks
• scaled to systems containing hundreds of qubits
• captured quantum dynamics in complex 3D lattice geometries
There is one important caveat: the entire study was not completed on an ordinary laptop. A laptop was sufficient for some early calculations, while the largest simulations required more powerful conventional processors and GPUs.
Still, the result directly challenges the earlier claim that this particular problem was beyond classical computation.
It does not mean quantum computers are useless. It means that demonstrating genuine quantum advantage requires beating the best classical algorithms available — not merely the best ones researchers happened to test previously.
The boundary between classical and quantum computing is not fixed. Every improvement in quantum hardware gives classical researchers a new target, while every better classical algorithm raises the bar for quantum advantage.
Sometimes the strongest competitor to a quantum computer is not another quantum computer.
It is better mathematics.
📄 Paper: Dynamics of disordered quantum systems with two- and three-dimensional tensor networks
https://www.science.org/doi/10.1126/science.adx2728
#QuantumComputing #Physics #TensorNetworks #ClassicalComputing #QuantumPhysics
Science
Dynamics of disordered quantum systems with two- and three-dimensional tensor networks
Large-scale quantum annealing dynamics of Ising spin glasses were recently implemented on D-Wave’s Advantage2 system on a range of lattices. After extensive comparison with existing numerical methods, these experiments were claimed to be beyond the reach…
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🌿 Ordinary Moss Produces Electrical Waves That Travel Across Its Tissue
Moss may look like one of nature’s quieter creations. Electrically, however, it appears to be surprisingly active.
Computer scientist Andy Adamatzky inserted electrodes into cushions of the common moss Brachythecium rutabulum and recorded their electrical activity continuously for 178 hours.
The moss produced several distinct patterns: rapid spikes, slower rhythmic oscillations, and very slow depolarization waves. Some signals appeared first at one electrode and later at another, suggesting that electrical activity was travelling across the tissue rather than occurring everywhere simultaneously.
Some spikes resembled action potentials and neuron-like spike trains. But resemblance is not equivalence: moss has no neurons, no brain, and the study provides no evidence that it thinks or possesses anything resembling consciousness.
What it may show is that a moss cushion behaves as a distributed, electrically connected system. One day, such living networks could potentially be used in biohybrid sensors, responsive building materials, or unconventional computing.
The interpretation remains preliminary. For now, the moss is not solving equations — but it may be coordinating electrical activity beneath our feet.
Could future computers be partly grown rather than manufactured?
📄 Royal Society Open Science
DOI: 10.1098/rsos.252341
#PlantBiology #Moss #BioComputing #LivingMaterials #UnconventionalComputing
Moss may look like one of nature’s quieter creations. Electrically, however, it appears to be surprisingly active.
Computer scientist Andy Adamatzky inserted electrodes into cushions of the common moss Brachythecium rutabulum and recorded their electrical activity continuously for 178 hours.
The moss produced several distinct patterns: rapid spikes, slower rhythmic oscillations, and very slow depolarization waves. Some signals appeared first at one electrode and later at another, suggesting that electrical activity was travelling across the tissue rather than occurring everywhere simultaneously.
Some spikes resembled action potentials and neuron-like spike trains. But resemblance is not equivalence: moss has no neurons, no brain, and the study provides no evidence that it thinks or possesses anything resembling consciousness.
What it may show is that a moss cushion behaves as a distributed, electrically connected system. One day, such living networks could potentially be used in biohybrid sensors, responsive building materials, or unconventional computing.
The interpretation remains preliminary. For now, the moss is not solving equations — but it may be coordinating electrical activity beneath our feet.
Could future computers be partly grown rather than manufactured?
📄 Royal Society Open Science
DOI: 10.1098/rsos.252341
#PlantBiology #Moss #BioComputing #LivingMaterials #UnconventionalComputing
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🦷 Scientists May Have Found a Way to Regrow Tooth Enamel
For decades, dentists have faced a frustrating reality: once tooth enamel is lost, it never naturally grows back. Researchers at the University of Nottingham may have found a way to change that.
In a study published in Nature Communications, the team developed a protein-based biomaterial that mimics the way enamel forms during early childhood—the only time our bodies naturally produce it.
Instead of simply coating the tooth like conventional treatments, the material acts as a microscopic scaffold. It penetrates tiny defects in damaged enamel, then recruits calcium and phosphate ions from saliva, guiding them to grow new enamel crystals that integrate seamlessly with the existing tooth.
In laboratory tests on extracted human teeth, the regenerated enamel closely matched the natural material in both structure and mechanical performance. It also withstood simulated brushing, chewing, and repeated exposure to acidic conditions, suggesting it could be durable enough for everyday use.
Unlike today’s fluoride treatments—which mainly slow further damage—this approach is designed to restore enamel rather than simply protect what’s left.
The researchers have launched a startup, Mintech-Bio, to commercialize the technology and hope to bring the first products toward clinical use in the coming year. However, human clinical trials are still needed before the treatment can become widely available.
If future trials confirm these results, dentistry could gradually shift from “drill and fill” to actually rebuilding damaged teeth.
📖 Source: Nature Communications (2025)
https://www.nature.com/articles/s41467-025-64982-y
#Dentistry #Biomaterials #Enamel #RegenerativeMedicine #Science
For decades, dentists have faced a frustrating reality: once tooth enamel is lost, it never naturally grows back. Researchers at the University of Nottingham may have found a way to change that.
In a study published in Nature Communications, the team developed a protein-based biomaterial that mimics the way enamel forms during early childhood—the only time our bodies naturally produce it.
Instead of simply coating the tooth like conventional treatments, the material acts as a microscopic scaffold. It penetrates tiny defects in damaged enamel, then recruits calcium and phosphate ions from saliva, guiding them to grow new enamel crystals that integrate seamlessly with the existing tooth.
In laboratory tests on extracted human teeth, the regenerated enamel closely matched the natural material in both structure and mechanical performance. It also withstood simulated brushing, chewing, and repeated exposure to acidic conditions, suggesting it could be durable enough for everyday use.
Unlike today’s fluoride treatments—which mainly slow further damage—this approach is designed to restore enamel rather than simply protect what’s left.
The researchers have launched a startup, Mintech-Bio, to commercialize the technology and hope to bring the first products toward clinical use in the coming year. However, human clinical trials are still needed before the treatment can become widely available.
If future trials confirm these results, dentistry could gradually shift from “drill and fill” to actually rebuilding damaged teeth.
📖 Source: Nature Communications (2025)
https://www.nature.com/articles/s41467-025-64982-y
#Dentistry #Biomaterials #Enamel #RegenerativeMedicine #Science
Nature
Biomimetic supramolecular protein matrix restores structure and properties of human dental enamel
Nature Communications - Regrowth of lost enamel in tooth decay and sensitivity is a major obstacle to overcome. Here, the authors report on a protein-based material that mimics features of natural...
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📊 The U-Curve of Happiness: Why Life Often Gets Better After 50
For decades, the “midlife crisis” was dismissed as little more than a cultural stereotype. But large-scale research suggests it reflects a real statistical pattern.
Economist David Blanchflower (Dartmouth College) analyzed well-being data from 145 countries, controlling for income, education, employment, and marital status. Published in the Journal of Population Economics (2021), the study found a remarkably consistent U-shaped relationship between age and life satisfaction.
Finding Detail
🌍 Scope
145 countries across Europe, Asia, Africa, and the Americas
📉 Lowest point
Life satisfaction typically reaches its minimum in the late 40s (around age 47 in developed countries)
📈 Recovery
Happiness generally rises again through the 50s and 60s, often returning to — or even exceeding — earlier levels
🔁 Consistency
The U-shaped pattern appears across a wide range of cultures and economies, although its strength varies
⚖️ Controls
Results remain after accounting for income, education, marital status, and employment
Why might this happen?
Several explanations have been proposed:
• During midlife, expectations often collide with reality as career growth slows and responsibilities peak — raising children, caring for aging parents, and managing financial pressures.
• Later in life, many people experience fewer competing demands, adjust their expectations, and become more emotionally resilient.
• Neuroscience may offer part of the explanation as well. Separate studies suggest that older adults tend to respond less strongly to negative experiences and naturally focus more on positive ones — although this was not the primary focus of Blanchflower’s research.
One important caveat: this is a population-level trend, not a prediction for any individual. Physical health, close relationships, financial security, and life events remain far more important determinants of happiness than age itself.
Blanchflower’s analysis suggests that the U-shaped pattern of well-being is surprisingly widespread across countries, although its exact shape varies between populations.
📄 Source: Blanchflower D.G. Is happiness U-shaped everywhere? Age and subjective well-being in 145 countries. Journal of Population Economics (2021). DOI: 10.1007/s00148-020-00797-z
#Psychology #Happiness #WellBeing #Science #Aging
For decades, the “midlife crisis” was dismissed as little more than a cultural stereotype. But large-scale research suggests it reflects a real statistical pattern.
Economist David Blanchflower (Dartmouth College) analyzed well-being data from 145 countries, controlling for income, education, employment, and marital status. Published in the Journal of Population Economics (2021), the study found a remarkably consistent U-shaped relationship between age and life satisfaction.
Finding Detail
🌍 Scope
145 countries across Europe, Asia, Africa, and the Americas
📉 Lowest point
Life satisfaction typically reaches its minimum in the late 40s (around age 47 in developed countries)
📈 Recovery
Happiness generally rises again through the 50s and 60s, often returning to — or even exceeding — earlier levels
🔁 Consistency
The U-shaped pattern appears across a wide range of cultures and economies, although its strength varies
⚖️ Controls
Results remain after accounting for income, education, marital status, and employment
Why might this happen?
Several explanations have been proposed:
• During midlife, expectations often collide with reality as career growth slows and responsibilities peak — raising children, caring for aging parents, and managing financial pressures.
• Later in life, many people experience fewer competing demands, adjust their expectations, and become more emotionally resilient.
• Neuroscience may offer part of the explanation as well. Separate studies suggest that older adults tend to respond less strongly to negative experiences and naturally focus more on positive ones — although this was not the primary focus of Blanchflower’s research.
One important caveat: this is a population-level trend, not a prediction for any individual. Physical health, close relationships, financial security, and life events remain far more important determinants of happiness than age itself.
Blanchflower’s analysis suggests that the U-shaped pattern of well-being is surprisingly widespread across countries, although its exact shape varies between populations.
📄 Source: Blanchflower D.G. Is happiness U-shaped everywhere? Age and subjective well-being in 145 countries. Journal of Population Economics (2021). DOI: 10.1007/s00148-020-00797-z
#Psychology #Happiness #WellBeing #Science #Aging
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👁️ Your Eyes May Have Evolved From an Ancient “Cyclops” Organ
Every vertebrate eye — including yours — may trace its origins to a single light-sensitive organ that sat in the middle of the head of a distant ancestor nearly 600 million years ago.
In a new Current Biology study, researchers from Lund University and the University of Sussex propose that an early worm-like ancestor lost its paired eyes after adopting a sedentary lifestyle. What remained was a simple median light-sensitive organ.
Millions of years later, as its descendants became active swimmers, evolution may have repurposed this central organ to form the paired retinas of vertebrates. The same ancestral system also appears to have given rise to the pineal gland, which today regulates our circadian rhythms and melatonin production.
If correct, this model could explain why vertebrate eyes are fundamentally different from those of insects and squid — and why the systems controlling vision and sleep may share a common evolutionary origin.
One important caveat: this is an evolutionary reconstruction, supported by anatomy, developmental biology, and neuroscience, rather than the discovery of a fossil “cyclops.”
📄 Paper: https://www.cell.com/current-biology/fulltext/S0960-9822(25)01676-8
#Evolution #Biology #Vision #Neuroscience #Science
Every vertebrate eye — including yours — may trace its origins to a single light-sensitive organ that sat in the middle of the head of a distant ancestor nearly 600 million years ago.
In a new Current Biology study, researchers from Lund University and the University of Sussex propose that an early worm-like ancestor lost its paired eyes after adopting a sedentary lifestyle. What remained was a simple median light-sensitive organ.
Millions of years later, as its descendants became active swimmers, evolution may have repurposed this central organ to form the paired retinas of vertebrates. The same ancestral system also appears to have given rise to the pineal gland, which today regulates our circadian rhythms and melatonin production.
If correct, this model could explain why vertebrate eyes are fundamentally different from those of insects and squid — and why the systems controlling vision and sleep may share a common evolutionary origin.
One important caveat: this is an evolutionary reconstruction, supported by anatomy, developmental biology, and neuroscience, rather than the discovery of a fossil “cyclops.”
📄 Paper: https://www.cell.com/current-biology/fulltext/S0960-9822(25)01676-8
#Evolution #Biology #Vision #Neuroscience #Science
Current Biology
Evolution of the vertebrate retina by repurposing of a composite ancestral median eye
The vertebrate retina differs dramatically from that in all other animal eyes. In
this review, Kafetzis et al. argue that, before the vertebrates, a series of lifestyle
changes in ‘our’ lineage led to the evolution of new lateral eyes, with a unique retinal…
this review, Kafetzis et al. argue that, before the vertebrates, a series of lifestyle
changes in ‘our’ lineage led to the evolution of new lateral eyes, with a unique retinal…