Sampling Bias Definition, Types & Examples

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peter Magaga on Instagram: "Downsampling Explained — Why Small Images Still Make Sense: Downsampling shrinks an image by selecting fewer pixels from the original, which keeps the main shapes visible because large patterns survive while tiny details disappear. As fewer samples represent the scene, fine textures fade, edges soften, and small features vanish—but the overall structure remains clear enough for the brain to understand what’s happening. This is why cameras, editing software, and AI mod