Something fishy in the data

Is the "wild" salmon you bought at the supermarket truly wild?

According to a new study, it may depend - on the time of year.

As Gizmodo reported (citing a study from Oceana), salmon may be mislabeled in at least 43% of cases. Just two years ago, a similar study found discrepancies in just 7% of cases. Why the big leap?

According to Gizmodo, "The last study was done during the summer. This recent study? It took place during the winter...  Essentially, the last study found almost no salmon fraud because there was a plentiful supply of salmon. When that supply dried up with the season, salmon fraud was suddenly everywhere."

Timing matters. Significant changes in the data can sometimes be explained by timing of when the data was sampled. Keep this in mind the next time you're comparing multiple data points.