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This paper is about receiving text messages through a noisy and costly line.Because the line is noisy we need redundancy, but because it is costly we canafford very little of it. I start by using well-known machinery for decodingnoisy messages (compressed sensing), then I attempt to reduce the redundancy(using random projections), until I get to a point where I use more orthogonalvectors than the space dimension allows. Instead of grinding to a halt orspurting out noise, this method is still able to decode messages correctly oralmost correctly. I have no idea why the method works: this is my first reasonfor writing this paper using a narrative instead of formal scientific style(the second one is that I am tired of writing semi-formal prose, and long for achange).

Decoding noisy messages: a method that just shouldn't work