I stared at this for a second because I had no idea where to anchor.
Break the problem into sensory input channels (visual, auditory, tactile, etc.) and estimate the raw data rate for each, then sum and convert to bytes. Clearly state assumptions about compression, attention filtering, and what 'process' means (raw sensory data vs. conscious thoughts).
Pro tip: Acknowledge that the brain compresses and filters heavily, so the raw sensory estimate is an upper bound; mention that conscious processing is orders of magnitude smaller, showing you understand the distinction between data and information.
Define what 'process' means: raw sensory input, neural activity, or conscious thoughts. State that you'll estimate raw sensory data as an upper bound, assuming continuous waking hours (e.g., 16 hours).
For each major sense, estimate bandwidth: vision (e.g., 10 Mbps based on optic nerve), hearing (e.g., 1 Mbps), touch, smell, etc. Use known physiological limits or reasonable guesses.
Add the channel rates to get total bits per second, multiply by seconds per day (e.g., 16 hours * 3600 s), and convert to bytes (divide by 8).
Discuss how the brain compresses data (e.g., predictive coding) and filters unattended information. Provide a range: raw vs. compressed estimates.
Compare your estimate to known storage scales (e.g., GB vs. TB) and acknowledge uncertainty. Summarize the final range and key assumptions.
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