switch opt.Name() {
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Another way to look at our threshold matrix is as a kind of probability matrix. Instead of offsetting the input pixel by the value given in the threshold matrix, we can instead use the value to sample from the cumulative probability of possible candidate colours, where each colour is assigned a probability or weight . Each colour’s weight represents it’s proportional contribution to the input colour. Colours with greater weight are then more likely to be picked for a given pixel and vice-versa, such that the local average for a given region should converge to that of the original input value. We can call this the N-candidate approach to palette dithering.
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2. Who is telling the story? A report could come from an experienced, trusted journalist - or it could have been mistakenly shared by someone on social media who believed it was true. This is know as misinformation - when fake news is mistakenly shared. When someone knowingly shares fake news, it’s known as disinformation.