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Why does the image histogram with ASCII text embedded look this way?

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I used histogram attack on image with embedded text ASCII (LSB-method) and found the chi square value. Orange - observed frequencies, blue - expected frequencies. As result all observed frequencies more than expected frequencies, that is tipical for empty image, and have almost the same difference. Also the p-value is too big, though the data is embedded. Why do we observe this phenomenon?

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