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A coin toss is random to a human but predictable to a supercomputer with high-speed cameras. This shows randomness is not an inherent property of an event, but a reflection of an observer's inability to compute the outcome. The less powerful the observer, the more random an event appears.
Unlike Newtonian physics which ignores the observer, quantum mechanics has two different rule sets: one for when a system is unobserved (unitary evolution) and one for when it is (collapse of the wave function). This centrality of the observer, despite having no accepted scientific model, suggests that observation itself is a fundamental aspect of how reality is constructed.
The brain's hardware limitations, like slow and stochastic neurons, may actually be advantages. These properties seem perfectly suited for probabilistic inference algorithms that rely on sampling—a task that requires explicit, computationally-intensive random number generation in digital systems. Hardware and algorithm are likely co-designed.
Simulating a system, like a fruit fly's brain, doesn't replicate its reality, only our observations of it. The universe itself generates physical structures that are too complex to be simulated within its own computational limits, showing the fallacy of equating simulation with reality.
A particle's quantum state collapses not due to a conscious observer, but when any physical interaction captures information about its path. This suggests the universe is a system responding to information processing, where computation is more fundamental than matter.
In algorithm design, randomness isn't free. High-quality random bits (from quantum sources) are expensive, while cheaper sources (thermal noise) have lower quality. This reframes randomness as a resource to be managed and minimized, just like time or space complexity.
Physicist Michio Kaku refutes simulation theory by highlighting a core principle of quantum mechanics: the universe is based on inherent probabilities, not a predetermined script. This fundamental randomness is at odds with the concept of a controlled simulation.
The "delayed choice" experiment proved that a decision to observe a particle *after* it has completed its journey determines whether it acted as a wave or a particle *in the past*. The present observation literally dictates the particle's history.
The universe is not "locally real," meaning objects exist as probabilities until observed. This mirrors video game engines that only render objects in a player's view to conserve computational resources, suggesting our reality is similarly efficient.
The double-slit experiment in physics shows that the mere act of observing particles changes their behavior. This indicates that reality is not fixed but is influenced by consciousness, leading Sinclair to believe there's a >50% chance we live in a simulation.
The Nobel Prize-winning discovery that the universe is not locally real suggests it operates like a video game engine, rendering reality only when an interaction or measurement occurs. This principle of computational efficiency, along with the universe having a minimum pixel size (Planck scale) and tick speed, strongly supports the simulation metaphor for reality.