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Deep, intense, and completely uninhibited 🔥 When two bodies move as one. Pure Hegre magic. #Hegre #RawPassion #Erotic #Nude #SensualVibes #Intimacy #hegrecom #AdultPhotography #HotAndSteamy

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Full recipe: 2 gallons homeade stock chicken or beef or both chilled. One onion One carrot One small bunch parsley 10 Egg whites Two pounds of ground grass fed beef Salt and pepper One tbsp of white miso Puree everything in a food processor until well combined and very emulsified until the texture is a very runny wet mixture. Set aside Place cold stock in a tall stock pot and set on top of the stove on high. Immediately while still cold whisk in the wet Meat egg white mixture with a large whisk. Turn heat on and continue whisking every two minutes or so while the stock is starting to get hot. It will look like a wet hot mess, don't worry it's exactly what it should look like. As it begins to get to the simmer stop whisking at this point. If you have a thermometer that would be around 125 degrees. Now it's time to let the albumen and protein coagulate and in turn clarify the stock. Make sure it is only on the lowest and gentlest simmer. As it gets to the simmer the wet mess will turn into a dense crust and like magic the broth will begin to pile tru the top. When this happens gently poke a two or three inch hole in the top of the raft and you'll allow the broth to freely simmer . Keep it low and slow for about an hour. Be patient. When finished. Do not move the pot. Let it sit for ten minutes or so and settle. Then wet a rag and place over a strainer and bowl. Gently ladle into the strainer like in the video. Serve be dry warm. Not hot. Bon appetit. Chill and freeze the rest! It's the best health food around!

Geoffrey Zakarian

12,022 views • 3 months ago

The Trap in Every Mathematics Lecture If you’ve taken enough math courses, you start noticing the same little move. The lecturer warms up with the obvious stuff, add matrices entrywise, scale by α, do the row-column product, and you’re thinking alright, where is this going. Then you relax. You stop resisting. And right there, they drop one line that quietly rewires the whole subject. When Benedict Gross says matrices represent linear operators, he’s telling you to stop treating a matrix as a rectangle of numbers and start treating it as an action. A linear operator is a function T: ℝⁿ → ℝⁿ that respects two rules: T(u+v) = T(u) + T(v) T(αu) = αT(u) Once you pick a basis, T is completely determined by where it sends the basis vectors e₁,…,eₙ. Put T(e₁),…,T(eₙ) into columns and you get a matrix A. That is what A represents T means. A is the coordinate portrait of the transformation. Now the punchline that makes matrix multiplication feel inevitable. If B represents S and A represents T, then doing S first and then T is the composition T∘S. In coordinates that becomes A(Bx) = (AB)x. So multiplying matrices is really composing transformations. That’s why multiplication is usually not commutative. T∘S is generally not the same transformation as S∘T, and the matrices inherit that noncommutativity. This explains half of linear algebra because it tells you what the course is really about: functions that move vectors around, not grids of numbers. A matrix is just the written form of that function once you choose coordinates. After that, the rules stop feeling random. Multiplying matrices means doing one move and then another. An inverse means you can undo the move. Eigenvectors are directions that don’t get turned. Changing basis is just describing the same move in a different language. One idea, and a lot of linear algebra suddenly clicks. #LinearAlgebra #Matrices #LinearMaps #Eigenvectors #ChangeOfBasis #Mathematics

Mathelirium

133,454 views • 6 months ago

Japan is expected to announce more coordinated intervention with the US to support the yen as early as Monday. That comes after they already spent an estimated $59 billion trying to stop the currency from completely breaking. At the same time, both Japan and China are cutting their US Treasury holdings hard. Japan alone dumped about $96 billion over the last three months, bringing their pile to the lowest level since April 2025. China is still quietly trimming too. So the picture looks like this: Japan is spending massive amounts defending the yen… while also reducing its exposure to US debt. The US is helping defend the yen… partly because a disorderly move could force even more Treasury selling and push yields higher. And the two biggest foreign holders of US debt are both lightening their positions at the same time. This doesn’t feel like a simple one-off currency defense anymore. It feels like the pressure is showing up in multiple places at once. That’s part of why having some cash and looking at gold matters more right now. When major countries are defending their currencies and reducing their US debt holdings at the same time, the system is showing stress from more than one direction. Cash gives you room to move. Gold is what central banks themselves keep stacking when they want protection. China’s central bank has been buying for around 20 straight months. In June alone they added about 15 tonnes one of their bigger monthly buys recently and official reserves are now over 2,300 tonnes. They’re not doing that for no reason. And gold itself has pulled back hard from its earlier highs this year, so you’re not chasing the top. Most people will treat the yen intervention and the Treasury selling as two different stories. I’m looking at them as part of the same picture. This one matters. #Gold $JPY #Kospi

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