MIT-IBM AI Lab Analyzed Bitcoin Transactions. Only 2% Were Labeled ‘Illicit’

(Last Updated On: August 18, 2019)
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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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Hi i there My name is Bryan Downing. I am part of a company called QuantLabs.Net This is specifically a company with a high profile blog about technology, trading, financial, investment, quant, etc. It posts things on how to do job interviews with large companies like Morgan Stanley, Bloomberg, Citibank, and IBM. It also posts different unique tips and tricks on Java, C++, or C programming. It posts about different techniques in learning about Matlab and building models or strategies. There is a lot here if you are into venturing into the financial world like quant or technical analysis. It also discusses the future generation of trading and programming Specialties: C++, Java, C#, Matlab, quant, models, strategies, technical analysis, linux, windows P.S. I have been known to be the worst typist. Do not be offended by it as I like to bang stuff out and put priorty of what I do over typing. Maybe one day I can get a full time copy editor to help out. Do note I prefer videos as they are much easier to produce so check out my many video at