Financial Big Brother is Watching You

A few weeks ago, Ohio congressman and Judiciary Committee chairman Jim Jordan’s office released a letter to Noah Bishoff, the former director of the Financial Crimes Enforcement Network, or FinCEN, an arm of the Treasury Department. Jordan’s team was asking Bishoff for answers about why FinCEN had “distributed slides, prepared by a financial institution,” detailing how other private companies might use MCC transaction codes to “detect customers whose transactions may reflect ‘potential active shooters.’” The slide suggested the “financial company” was sorting for terms like “Trump” and “MAGA,” and watching for purchases of small arms and sporting goods, or purchases in places like pawn shops or Cabela’s, to identify financial threats.

Jordan’s letter to Bishoff went on:

According to this analysis, FinCEN warned financial institutions of “extremism” indicators that include “transportation charges, such as bus tickets, rental cars, or plane tickets, for travel to areas with no apparent purpose,” or “the purchase of books (including religious texts) and subscriptions to other media containing extremist views.”

During the Twitter Files, we searched for snapshots of the company’s denylist algorithms, i.e. whatever rules the platform was using to deamplify or remove users. We knew they had them, because they were alluded to often in documents (a report on the denylist is_Russian, which included Jill Stein and Julian Assange, was one example). However, we never found anything like the snapshot Jordan’s team just published:

The highlighted portion shows how algorithmic analysis works in financial surveillance. First compile a list of naughty behaviors, in the form of MCC codes for guns, sporting goods, and pawn shops. Then, create rules: $2,500 worth of transactions in the forbidden codes, or a number showing that more than 50% of the customer’s transactions are the wrong kind, might trigger a response. The Committee wasn’t able to specify what the responses were in this instance, but from previous experience covering anti-money-laundering (AML) techniques at banks like HSBC, a good guess would be generation of something like Suspcious Activity Reports, which can lead to a customer being debanked.

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