Chebyshev's Theorem says that at least 95 percent of the data lie within 2 standard deviations of the mean.

Name: Chebyshev's Theorem says that at least 95 percent of the data lie within 2 standard deviations of the mean.
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Chebyshev's Theorem actually states that at least $1 - \frac{1}{k^2}$ of the data within a dataset will fall within $k$ standard deviations from the mean, for any $k > 1$. For $k = 2$, this gives at least $1 - \frac{1}{2^2} = 1 - \frac{1}{4} = 75\%$ of the data, not 95%.

Chebyshev's Theorem Says That at Least 95 Percent of the Data