A healthful plant-based diet is linked to an 11% lower risk of breast cancer and a 28% reduction in mortality for those already diagnosed. New research from 70,000+ participants shows that high intake of vitamins B2, C, and magnesium, combined with low sodium, significantly improves survival.

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This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.

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