The fundamental microeconomic problems have been pervasive corruption, arbitrary intervention in private business and waste in the public sector. What does it mean for China and for the rest of the world, if Xi stays indefinitely in office?

The fundamental macroeconomic problems are excess savings, excess investment, and growing mountains of unproductive debt. These three things go together. One cannot be solved without solving the other two

you’re fundamentally misunderstanding the controversy here, while invoking a controversy that should have made it obvious. “race swap” wasn’t even a conversation in the 90s. then race-obsessed leftoids made it a one-way issue in the 20-teens via movies like ghost in the shell, and took over hollywood. that leftist race obsession hasn’t ended. white people are still policed out of film and television constantly, often in the name of historical accuracy. the reaction you’re witnessing here isn’t about the race of an actress. it’s about hypocrisy. one class of roles is meant for people of the proper skin color, while another (white historical figures or former white characters, and yes, obviously this includes european myth lmao) is meant for everyone. the dynamic is clearly racist. I think the shonda rhimes colorblind model is best, but reactions like this will continue until our cultural institutions actually listen and disband with the anti-white dogma.

Most perp DEXes still fundamentally misunderstand who their real customer is. It’s not the retail trader clicking buttons on mobile. It’s the market maker deciding where inventory sits. That distinction matters more than people realize. You can have a beautiful frontend. Fast matching. Good branding. Infinite KOL distribution. None of it matters if serious liquidity providers don’t trust the environment enough to warehouse risk there. That’s why @HyperliquidX worked. People focus on the app. The real breakthrough was psychological. Traders believed liquidity would remain there tomorrow. That sounds simple. It isn’t. Perp liquidity is reflexive. Depth attracts size. Size attracts tighter spreads. Tighter spreads attract flow. Flow attracts more market makers. Once that flywheel starts, competing becomes exponentially harder because liquidity itself becomes the moat. Most teams still think incentives bootstrap this permanently. They don’t. Incentives rent liquidity. They rarely create loyalty. You can see this happening again with newer perp infrastructure projects trying to position themselves as “better Hyperliquid.” Usually faster. Usually more decentralized. Usually more modular. Almost always missing the point. Traders don’t migrate because architecture diagrams look cleaner. They migrate because execution quality improves their PnL. That’s it. The uncomfortable reality is most traders would happily trade on a centralized spreadsheet if fills were perfect and liquidation engine risk was low. Crypto romanticizes decentralization far more than actual high-volume traders do. This is where a lot of newer perp infra feels mispriced to me. Especially projects over-optimizing for theoretical decentralization while underinvesting in market structure realities. The orderbook itself is not the business. The business is liquidity coordination. Different thing entirely. dYdX learned this the hard way during migration. Vertex understands parts of this. Hyperliquid understands it deeply. Most others still don’t. Another thing nobody wants to admit: A lot of current perp volume is heavily inorganic. Not fake necessarily. But mercenary. Vault loops. Point farming. Wash-adjacent behavior. Incentive-maximizing flow pretending to be organic traction. You can inflate volume surprisingly easily in this market. What’s much harder is creating an environment where traders voluntarily keep meaningful capital parked during periods of low incentives. That’s the real test. Boring markets expose weak protocols faster than volatility does. And we’re probably heading into one. The next 12 months will be brutal for projects whose entire user acquisition strategy depends on token emissions subsidizing bad unit economics. Especially once capital costs normalize again. People also underestimate how important liquidation design is becoming. Not just speed. Behavior. Does the system behave predictably during violent moves? Can market makers hedge efficiently during cascading events? Do traders trust the ADL process? Does insurance fund logic actually survive stress? Most teams only discover the answers after their first real volatility event. By then it’s too late. Trust disappears in hours. Sometimes minutes. That’s why I keep paying attention to teams obsessing over risk engine architecture instead of just throughput benchmarks. Throughput is easy to market. Risk systems are not. But one keeps institutional size alive. The other makes nice conference slides. And honestly, I still think the market massively underprices distribution quality. Everyone talks about tech. Very few talk about trader habit formation. Once traders build muscle memory around a venue, inertia becomes incredibly powerful. Shortcuts. Execution intuition. Trust during volatility. Knowing how the engine behaves. That behavioral lock-in matters more than another 5ms improvement most of the time. The projects likely to win this cycle are probably not the ones screaming loudest about TPS or “fully onchain matching.” It’ll be the ones that quietly become default routing destinations for serious size. Different game entirely. @EVEDEX

Parent Functions: The 9 fundamental graphs to learn. These basic shapes serve as building blocks for graphing more complex functions through transformations (shifts, stretches, reflections). Mastering their key features; domain, range, intercepts, asymptotes, and end behavior; forms the foundation for calculus and higher math.

Finished Foundry Fundamentals on @CyfrinUpdraft ✅ From writing contracts → to testing → to deployment scripts. Learning how to think in terms of workflow, not just syntax. Solid foundations before moving deeper into security.