How to Catch an Election Fraudster

Corona Del Mar, CA

Howdy Friend!

I love using math to beat the markets.

I think it's pretty damn cool that mathematical models can translate into a quickly growing trading account.

But did you know you can use math to catch tax cheats, corporate fraudsters, and election meddlers?

When entering fraudulent numbers to "cook the books," many hucksters fail to know that the odds of a "1" showing up as the first digit of a number is about 30%, and then tapers off as shown below:

It's called Benford's Law. 

With some simple math and a spreadsheet, it's pretty easy to discover if the election numbers follow the above probability distribution.

Of course professional fraudsters know all about Benford's Law (like Bernie Madoff's fake option trades), so there are some other techniques like voter turnout ratio's and 2nd digit analysis that are realllly hard to hide.

My guess is that you're going to be hearing about this stuff in the news over the next month as rampant election meddling gets exposed in the US general election. What a cherry on top for 2020 right?

Perhaps it's time to secure the electoral process with bl0ckchain technology (purposely misspelled to keep the bots happy).

That's the technology behind bitttcoin [sic].

By the way, if I get enough requests, perhaps I'll run The Boss on BCoin data and see what kind of rules it comes up with to trade it.

More from me soon...

Disclaimer: The results listed herein are based on hypothetical trades. Plainly speaking, these trades were not actually executed. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under (or over) compensated for the impact, if any, of certain market factors such as lack of liquidity. You may have done better or worse than the results portrayed.