For a value that is sampled with an unbiased normally distributed error, the above depicts the proportion of samples that would fall between 0, 1, 2, and 3 standard deviations above and below the actual value.
The standard error (SE) of a statistic (usually an estimator of a parameter, like the average or mean) is the standard deviation of its sampling distribution. The standard error is often used in calculations of confidence intervals.
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).