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Blockchain analysis using bayesian methods and markov chain Monte Carlo can easily surpass the "reasonable doubt" bar. Not always, but as sufficient data is accumulated.
Sure if the evidence is presented in court. This is not what we are talking about here.
We trace Bitcoin transactions across hundreds of entities and help you connect illicit Bitcoin activity to real world actors.
Our proprietary database links millions of Bitcoin addresses to thousands of clear web and dark web entities. We back this up with transparent documentary evidence.
https://www.elliptic.co/law-enforcement/ Translation: We have a proprietary database, accusing people of serious crimes by association, that we will let law enforcement agencies to take a look at for a fee. Elliptic is very careful to say this is evidence for investigations. They do not mention trails before a court of law.
The likelihood of false positives here is very high. A good example is a criminal who purchases perfectly legal goods and or services from a law abiding business on a regular basis using Bitcoin. Criminals do actually purchase perfectly legal goods and or services on a regular basis. Bayesian methods will flag this in no time, since the algorithm has no way of knowing if the transactions are legal or not. A fact that these blockchain analytics companies conveniently ignore.
Edit: This is guilt by association pure and simple.
