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It amazes that the US government tried to make it sound like the majority of crypto currency/Bitcoin transaction are illicit. It amazes with this type of MIT study from MIT and IBM shows it could be as low as 2%. If that amount of transaction is in line with cash, maybe the USA government needs to ban their dollar as well.
The group’s study detailed how researchers at the MIT-IBM Watson AI Lab used machine learning software to analyze 203,769 bitcoin node transactions worth roughly $6 billion in total. The research explored whether artificial intelligence could assist current anti-money laundering (AML) procedures.
Only 2 percent of the 200,000 bitcoin transactions in the data set were deemed illicit as part of Eliptic’s initial work. While 21 percent were identified as lawful, the vast majority of the transactions, roughly 77 percent, remained unclassified. (To date, there have been an estimated 440 million bitcoin transactions since the network’s launch in 2009.)
To be clear, the 2 percent comes from an Elliptic data set that was previously not public and the figure was merely affirmed by the MIT researchers’ analysis. The data point is in line with a study from competing analytics firm Chainalysis, which estimated just 1 percent of bitcoin transactions in 2019 were known to be associated with illicit activity.
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