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A recent story from USA Today informs us that the automaker, Mitsubishi has admitted to falsifying data about gas mileage. Although, this is difficult to tell as the article starts with:

Corrections & clarifications: A previous version of this story misstated the nature of the data Mitsubishi Motors said its staff falsified.

Japanese automaker Mitsubishi Motors on Wednesday said it falsified fuel consumption test data involving 625,000 vehicles.

The firm said in a statement that it conducted testing “improperly” to present better fuel consumption rates than the actual figures, and the testing method was different from the one required by Japanese law.

You can read the rest of the article here.


We think it was only a matter of time until something like this came up. In this case, of course an automaker is inclined to have better gas mileage, than say, their competition. It makes their cars more appealing to customers, and they will likely increase sales because of it.

There are other cases in other companies and industries where we see data manipulation. For example, in the cable industry, data is collected on “repeat visits.” A repeat visit is typically classified as a time when a tech has to return to the house within a certain period of time… for the purpose of this blog, let’s say it is 3 days. It is easy for a tech to simply return on day 4, in order to make it appear that this was not a repeat visit.

There are many ways to manipulate data, both in the input and presentation. How can you make sure that data is not being manipulated in your company?

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