Ludacris is unamused

"For decades, wolf researchers believed ravens followed wolf packs to find food. Every biologist who flew aerial surveys over Yellowstone saw the same thing.

Wolves moving across the snow with ravens overhead, black shapes trailing the pack like a shadow with wings. The assumption was simple. The ravens were following the wolves. The wolves would kill. The ravens would eat. A study published in March 2026 using GPS transmitters on wolves, cougars, and ravens in Yellowstone proved the assumption wrong.

The ravens were not following the wolves. They were remembering where kills had happened before and flying over those locations looking for new carcasses. The relationship between the two species is real. The mechanism is not what anyone thought it was.

Bernd Heinrich, a University of Vermont biologist who spent years studying ravens in Maine and Yellowstone, first documented the scale of the association. His data showed ravens present near wolf packs 99.7 percent of the time during winter in Yellowstone. Not occasionally. Not frequently. Essentially always. On Isle Royale, researcher John Vucetich observed the same pattern from the air.

Every wolf pack had ravens with it. The birds were just always there.

The numbers at kill sites are staggering. The average number of ravens documented at a Yellowstone wolf kill is thirty. The maximum recorded at a single carcass is 135.

A wolf pack brings down an elk in the Lamar Valley, and within hours over a hundred ravens have materialized from across the drainage to feed. They do not wait politely. They land on the carcass while the wolves are still eating. They grab chunks of meat and cache them in the snow and in tree crotches for later retrieval. Research estimates that ravens can consume up to forty percent of a carcass, which means a wolf pack that kills a seven-hundred-pound elk may lose nearly three hundred pounds of it to birds.

That loss is so significant that one study proposed a theory that reshapes how we think about wolf pack size entirely. If a pair of wolves can take down an elk, why do wolves hunt in packs of four, six, eight, or more? The per-capita meat return decreases with every additional mouth. A pair gets the most meat per wolf. The answer may be ravens. Two wolves cannot eat fast enough to outpace a hundred ravens stripping the carcass simultaneously. A larger pack can post guards, feed in shifts, and physically dominate the carcass long enough to retain a greater share of the kill. Wolves may hunt in packs not because they need more teeth to bring down prey, but because they need more bodies to defend the kill from birds.

The ravens pay for their meals. Heinrich documented in his book Mind of the Raven that ravens serve as an early warning system at kill sites. Ravens are more vigilant than wolves. They perch in trees overlooking the carcass and scan the horizon in every direction. When a grizzly bear approaches, or a rival wolf pack, or a mountain lion, the ravens see it first. Their alarm calls alert the feeding wolves to the incoming threat before the wolves' own senses detect it. The wolves get airborne sentries. The ravens get an animal with the jaw strength to open a frozen elk carcass that no raven beak can penetrate.

That is the core of the mutualism. The raven cannot open the hide. The wolf can. The wolf cannot see a threat approaching from a mile away while its head is buried in a rib cage. The raven can. Each species fills a gap in the other's capability, and the result is a partnership so consistent that L. David Mech, the most published wolf researcher in the world, wrote that each creature is rewarded in some way by the presence of the other and that each is fully aware of the other's capabilities.

The play behavior is the part that makes biologists uncomfortable because it implies something beyond transactional mutualism. Wolves and ravens play together. Not at kill sites. Not during feeding. During downtime. Yellowstone observers have documented ravens diving at resting wolves, pulling their tails, and flying away. Wolf pups chase ravens across meadows. Ravens steal sticks from pups and hold them just out of reach. The interactions look like the cross-species equivalent of two bored kids messing with each other because there is nothing else to do.

Doug Smith, the retired lead biologist of the Yellowstone Wolf Project, had watched this relationship from the air for decades. Wolf researchers have believed forever that ravens follow wolves, he wrote after the 2026 study was published. Every wolf researcher has seen it. I have seen it routinely from the plane while wolves are chasing an elk in Yellowstone Park, numerous times. Ravens are just always there. This is an age-old observation. But it has never been rigorously tested until now.

The 2026 study, which used 2.5 years of GPS data from transmitters on wolves, cougars, and ravens simultaneously, revealed that ravens were not tracking wolf movements in real time. They were patrolling known kill sites. A raven that fed at a wolf kill in a specific drainage in November would return to that drainage repeatedly over the following weeks and months, flying over the exact location where the carcass had been, checking whether a new kill had appeared. The ravens were not following the wolves. They were following the memory of where wolves had killed before.

That distinction matters because it changes the raven from a passive follower into an active strategist. A bird that follows a wolf pack is reacting. A bird that memorizes kill locations across an entire landscape and patrols them systematically is planning. The raven is not tagging along. It is running a surveillance network across hundreds of square miles of Yellowstone, checking sites where food has appeared before, and showing up fast enough when it appears again that every observer since the 1995 reintroduction assumed it had been following the wolves the whole time.

The wolf and the raven share almost identical geographic range across the Northern Hemisphere. Everywhere wolves live, ravens live. The association is not a Yellowstone novelty. It is a continental relationship between two of the most intelligent species in North American wildlife, running continuously across boreal forest, tundra, mountain, and prairie, built on meat, memory, and a mutual awareness that neither species has ever needed to be taught."

Honestly no, I keep it pretty cool around even the most exhilarating fro—

hey how did that get in he—

This International Tiger Day, we’re remembering the Caspian tiger (Panthera tigris virgata). This large tiger subspecies, which went extinct sometime during the 20th century, weighed up to 530 lbs (240 kg) and was second only to the Amur tiger in size. Once inhabiting a wide range from what is now Turkey to Central Asia, the Caspian tiger likely went extinct by 1970. This cat was driven to extinction by the same factors threatening surviving tigers—human activity, including deforestation and overhunting. 

"The orphanage is on fire," sobbed the village elder.

Kael tilted his head, genuinely curious. "Interesting. Structurally, is it load-bearing?"

"CHILDREN ARE INSIDE."

"Right, yes. That's bad." He said it the way a normal person might comment on slightly stale bread — accurate, unbothered, technically concerned. Then he strode into the burning building, calmly assessed the room like he was picking produce, and carried out six children in one trip using a fireman's carry, a headlock, and one child simply wedged under his arm like a baguette. Nobody was dropped. Nobody was comforted either.

"You saved them!" the innkeeper wept, hugging his leg.

"I did," Kael agreed, patting the man's head the way one might reassure a nervous dog. He had read, in a book once, that this was the correct response. He filed the crying under Data: Gratitude, Loud Variant and moved on.

The thing about Kael was that he never lied about his motivations, which people found somehow more unsettling than if he had.

"Why did you become a hero?" asked the bard, quill hovering, hoping for something poetic.

"Boredom, mostly. And I noticed 'good' produces more interesting problems than 'bad.' Bad is just taking things. Good has logistics." He considered this. "Also people stop screaming at me if I do it. Screaming is unpleasant. Not because it hurts my feelings — I don't think it does that — but it's loud and I dislike loud."

The bard wrote none of this down and instead invented, on the spot, a moving tale of a boy who lost his mother to bandits. It sold very well. Kael read it later, said "none of this occurred," and shrugged.

He was, against all logic, an extremely effective hero. No hesitation. No fear response worth mentioning — he'd once negotiated with a dragon by calmly explaining, in specific and creative detail, exactly how he intended to dismantle it if it didn't cooperate, delivered in the same tone one might use to return a library book. The dragon, sensibly, cooperated. Villagers assumed this was courage. It was not courage. Courage requires being afraid first.

He was also, by his own admission, "extremely good at getting people to do what I want," which he used almost exclusively to talk warlords into surrendering, cult leaders into disbanding, and one memorable goblin king into unionizing his mining operation instead of raiding the surface. "Turns out," Kael told the astonished goblins, "you get more ore with dental coverage than pillaging. I ran the numbers."

The horrifying part came out when the party's cleric asked, tearfully, how he could stay so calm after the battle — after seeing men die.

"I don't feel it the way you do," Kael said, without embarrassment, like reporting the weather. "But I've decided that killing people is bad, and I don't like doing bad math. So I don't do it if I can help it. I could feel nothing and be terrible. I've simply chosen not to be terrible. It's mostly a scheduling decision."

The cleric didn't know whether to be comforted or to sleep with one eye open. She settled on both.

By the end of the saga, Kael had saved four kingdoms, adopted the six orphans from the fire (he cited "efficient use of an existing emotional attachment vector" as his reasoning, then quietly built them the nicest house in Dytona and never once forgot a birthday), and become the single most trusted man in the realm — mostly because he was constitutionally incapable of the flattering little lies everyone else told.

"Do you love us?" one of the orphans asked him once, small and earnest.

Kael thought about it with the same seriousness he gave dragon negotiations.

"I've decided to act as though I do, permanently, regardless of how I feel on any given day," he said. "Functionally, that's the same thing. Go to bed."

The rookie is determined.

In front of the Crown's judge, your defendanting lawyer says: "The captain respect the uniform, even when worn by a rookie. He adheres to the rules of public respect. He is unafraid to humble himself in public. I call upon a law to judge fairly."

The judge sentences you to a work task of 8 hours, in which you must teach a rookie in your ranks how to take bumps.

The nonprofit’s set to receive a donation of 21 tons of tubers this weekend from suppliers in the Midwest. Hoping to get the starchy vegetables to people in need, the nonprofit will host a “Potato Palooza” event on Monday in Park Hill. “Anyone is welcome to come. They can bring tote bags, wagons, you could back up your pickup truck if you wanted to,” Hissong said. The event is 9 a.m. to noon at the Park Hill Food Recovery Hub, 6090 East 39th Avenue, on July 27.

This is the dream

People near Denver, Colorado.

Potato alert. Potato alert.

Free food. Unlimited free potatoes.

Potato alert.

🥔 ⚠️ 🥔 ⚠️ 🥔 ⚠️ 🥔 ⚠️ 🥔 ⚠️ 🥔 ⚠️

January - Agalychnis callidryas. Of course. AI loves popular animals, and perhaps no frog is as iconic as the red-eyed treefrog. February - Trachycephalus resinifictrix March - probably supposed to be Dendrobates auratus, but honestly looks more like a Ranitomeya April - I think this is supposed to be Odorrana? It certainly looks like it. May - any of the many green frogs in the family Ranidae. May be Aquarana or Pelophylax, but could also be many others. June - Maybe Litoria caerulea? but not chubby enough July - I think the AI was trying to represent a Pelobatrachus nasutus, but had arbitrarily decided it wanted only green frogs and accidentally landed on something like Gastrotheca guentheri? August - Some hylid frog, almost certainly based on either Dryophytes or Hyla September - Any of a number of green toads, possibly genus Bufotes October - Ceratophrys cranwelli or C. ornata November - No idea. Could be any number of species. But given that when you ask ChatGPT for a list of ten random frogs, it almost always includes Pyxicephalus adspersus, I guess this could be a young individual of that species. December - A glass frog, family Centrolenidae. AI is *obsessed* with Hyalinobatrachium, so it's probably a member of that genus.

There was no doubt in my heart that Mister October, the Ceratophrys, would be the problem child. But truly, frogs don't owe anyone anything, and I love them all equally. They are perfect.

[ID: anonymous question reading: helicopter deadass said gluten tag ///end ID]