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Modern societies assume that science has already explained the most important questions about reality. That with enough data, computation, and refinement, the remaining gaps will eventually close. In this lecture, Jiang Xueqin questions that assumption. Jiang argues that while modern science excels at describing mechanisms, it struggles to account for consciousness itself — the fact that experience, thought, and awareness exist at all. Neuroscience can map brain activity and identify correlations, but it cannot explain where memories are stored, how ideas arise, or why thought feels unified rather than mechanical. The scientific method, he suggests, is effective at organising knowledge, but it does not describe how genuine insight, imagination, or creativity actually occur. Rather than rejecting science, Jiang turns to its limits. Drawing on philosophy and modern physics, he explores the possibility that consciousness is not simply produced by the brain, and that human beings are not passive observers of reality, but active participants in it. What appears as a technical problem within neuroscience may point to a deeper misunderstanding about the nature of mind, knowledge, and reality itself. This video explores why consciousness remains unexplained, where material models fall short, and what it means to take seriously the idea that some aspects of reality cannot be reduced to mechanism alone. 🎓 Lecturer: Professor Jiang Xueqin 📅 Recorded: 2025 📖 Full Lecture: • Secret History #9: The Theory of Everything ⚖️ Educational & Copyright Disclaimer This video is presented for educational and informational purposes. It contains edited excerpts from a publicly available lecture, transformed to foreground key philosophical and scientific arguments. All rights to the original lecture remain with the original creator. Lecture Hall curates and contextualises academic work to make serious ideas accessible to a wider audience. #Consciousness #PhilosophyOfMind #Neuroscience #Science #Epistemology #Reality #LectureHall #JiangXueqin