Reference request: Storks bring babies There is a well-known statistical example, claiming that there is correlation between the number of babies in Alsatian/Danish/Dutch/German villages or European countries and the number of storks in that place. The humorous "implication" of this example is that storks indeed bring babies. This example is often used to teach the difference between correlation and causality.
I would like to know by whom this example was initially coined. So far, I found two references talking about this example. I checked this answer and found
Sies, H. (1988), A new parameter for sex education, Nature 332, 495; https://doi.org/10.1038/332495a0
Furthermore, I found
Matthews, R. (2000), Storks Deliver Babies (p= 0.008). Teaching Statistics, 22: 36-38. https://doi.org/10.1111/1467-9639.00013
Across the web, I also found attributions to G. Udny Yule, author of Introduction to the Theory of Statistics (1911) and to Darrell Huff, author of How to Lie with Statistics (1954). In neither of the books, I could find a paragraph on the subject. As G. Udny Yule is the oldest of the named authors, I would like to believe that he is the inventor of the storks-and-babies example, but I would like to see a reference proving or falsifying my assumption.
 A: The original reference is, as far as I can tell, this one (following a citation in Kronmal 1993, a very under-read paper imho):

Neyman, J. (1952) Lectures and Conferences on Mathematical Statistics and Probability, 2nd edn, pp. 143-154. Washington DC: US Department of Agriculture.

The stork and baby data is described and analyzed starting on page 143. Despite (or perhaps because) Neyman introduces them with "Once upon a time an inquisitive friend of mine decided to study the question empirically", these data are clearly fictional.
The storks and babies are followed by a railroads example, whose analytical results are apparently real, but whose raw data was reconstructed to show how the same fallacy might have been at work, "Miss Evelyn Fix was kind enough to prepare Table IV indicating what might have been the raw data [...]"
On the other citations: the data from Matthews is from about 50 years after but does seem to have the same structure as Neyman's. It is (I presume) real, and seems to have been collected independently. I cannot find a searchable version of Yule, so despite a personal weakness for hunting through old statistics textbooks, I have not found the time to search it. Perhaps a bird will bring the reference to us.
A: This (http://www.nieuwarchief.nl/serie5/pdf/naw5-2010-11-2-134.pdf) dutch magazine article mentions

G.E.P. Box, W.G. Hunter en J.S. Hunter (1978),Statistics for Experimenters: An Introduction to Design,  Data  Analysis,  and  Model  Building, New York: John Wiley, p. 8

as the first example. Box et al. apparently use a data set from Oldenburg, Germany from the thirties (which is also analyzed in the magazine article).
