This sounds like the Bible Code. If you take a large pseudo-random data source, apply thousands of analysis functions over it, and apply a liberal dose of interpretation to the results, you'll undoubtedly end up with "meaningful data". It's like Rorschach blobs.

I suspect if you make images out of the block chain data, you'll probably find at least 4 or 5 vaguely plausible pictures. The problem is finding them amongst the 10 million random noise pictures.