Natural history museums hold innumerable misidentified specimens on their shelves. These specimens make their way into databases like GBIF, and muddy data that is used in global-scale analyses and other research drawing on such records. Careful verification of all specimens in a collection holding tens to hundreds of thousands of specimens would be a Herculean task that could take a dozen experts a decade. So, we often rely on spot checks.
Whilst searching our constrictor collection to see if we have any albino snakes (we don’t seem to), I came across this snake that had been identified as a Boa constrictor. It is in fact Malayopython reticulatus, a reticulated python. A quick new label and an update in our database, and I was able to move it over to the right shelf. Now it won’t muddy the waters further, and is able to be referred to by anyone interested in examining a retic.
How many more such cases are haunting our shelves of over 14 million objects? And that’s just the Natural History Museum of Denmark; there are billions of objects in similar collections globally. This is quite literally an astronomically huge problem.