In this episode I discuss how math’s usefulness often comes from our gamified world rather than nature’s complexity, and why real learning depends on memory and abstraction. True progress, I argue, comes from raising levels of abstraction and operating at higher layers of thought rather than focusing on low-level tricks. Support the show Become a premium member to gain access to premium content, including the Techniques and Mindsets Videos, visual concept summaries of each episode, community ...
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In this episode I discuss how math’s usefulness often comes from our gamified world rather than nature’s complexity, and why real learning depends on memory and abstraction. True progress, I argue, comes from raising levels of abstraction and operating at higher layers of thought rather than focusing on low-level tricks. Support the show Become a premium member to gain access to premium content, including the Techniques and Mindsets Videos, visual concept summaries of each episode, community ...
Suggested Reading https://arxiv.org/pdf/2502.17575 Become a Member science-in-perspective.com *My specific discussion of entropy as a mechanistic explanation for emergence is founded on my own theories. Similarly, gravity as a statistical byproduct. But all other talking points are standard accepted concepts and theories in theoretical and experimental physics. Support the show Become a premium member to gain access to premium content, including the Techniques and Mindsets Videos, visual conc...
Science in Perspective
In this episode I discuss how math’s usefulness often comes from our gamified world rather than nature’s complexity, and why real learning depends on memory and abstraction. True progress, I argue, comes from raising levels of abstraction and operating at higher layers of thought rather than focusing on low-level tricks. Support the show Become a premium member to gain access to premium content, including the Techniques and Mindsets Videos, visual concept summaries of each episode, community ...
