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It works after the decimal point as well. Many years ago an American programmer made a lot of money by realising the actual mid-point for rounding was not 50 cents but roughly 33 cents. He wrote a programme that reported the rounding based on 0,5 but calculated it at 0.3 and put the balance in his own account.
In 1968...? Don't think so.That was Superman 3 you're thinking of.
It's smeging disturbing.
I've tried testing some random data sets from bank statements to historical values, nearly every time the leading digit '1' comes up 30% of the time.
What's going on?
Digit Business Personal Predicted
1 38.7% 42.9% 30.1%
2 16.7% 20.0% 17.6%
3 8.9% 10.9% 12.5%
4 8.9% 7.0% 9.7%
5 9.5% 6.6% 7.9%
6 4.2% 2.1% 6.7%
7 5.4% 2.9% 5.8%
8 2.4% 3.8% 5.1%
9 5.4% 3.8% 4.6%
Sample size 336 1535
For business/personal current account transactions it's nearer 40% here!
Code:Digit Business Personal Predicted 1 38.7% 42.9% 30.1% 2 16.7% 20.0% 17.6% 3 8.9% 10.9% 12.5% 4 8.9% 7.0% 9.7% 5 9.5% 6.6% 7.9% 6 4.2% 2.1% 6.7% 7 5.4% 2.9% 5.8% 8 2.4% 3.8% 5.1% 9 5.4% 3.8% 4.6% Sample size 336 1535
It's smeging disturbing.
I've tried testing some random data sets from bank statements to historical values, nearly every time the leading digit '1' comes up 30% of the time.
What's going on?

Perhaps there's a fraud in progress.

It works after the decimal point as well. Many years ago an American programmer made a lot of money by realising the actual mid-point for rounding was not 50 cents but roughly 33 cents. He wrote a programme that reported the rounding based on 0,5 but calculated it at 0.3 and put the balance in his own account.
Accounting fraud detection[edit]
In 1972, Hal Varian suggested that the law could be used to detect possible fraud in lists of socio-economic data submitted in support of public planning decisions. Based on the plausible assumption that people who make up figures tend to distribute their digits fairly uniformly, a simple comparison of first-digit frequency distribution from the data with the expected distribution according to Benford's Law ought to show up any anomalous results.[14] Following this idea, Mark Nigrini showed that Benford's Law could be used in forensic accounting and auditing as an indicator of accounting and expenses fraud.[15] In practice, applications of Benford's Law for fraud detection routinely use more than the first digit.[15]