Bigger sensor—less noise

In photography, the bigger the digital camera sensor, the less noise it usually captures. Its pixel size grows to catch more rays of light and improve the image quality.

But our brain is a sensor too. It reacts to different environmental stimuli: visual, auditiv, kinesthetic, gustatorial, olfactorial. We want to extract the most valuable information through our senses with the least effort. In this quest, we are confronted with noise—for example, irrelevant or well-known information.

If we apply the concept sensor/noise to the human mind, then our more receptive, wider worldview will reject noisy, worthless data. So—to learn more effectively—we need to explore new directions. What we know creates the context against which we evaluate and relate with what we don't know. Such relationships—if fully explored—can lead to breakthrough innovation.

Our knowledge is a dense collection of small pixel-like bits and pieces, which are ordered in a way that their location and color make sense in the big picture. Correcting all simultaneously requires an unreasonable effort, but we can work gradually on every one and change it as we see fit. A perfect picture has only perfect pixels. This is why we need to fix the small—no matter how long it takes or how hard it is—until we see its effect at large. To quickly blur the noise and then sharpen, won't improve the image.

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