It is often pointed out that sample is an overloaded term in statistics and the sciences being supported by statistics.  In my field (geological sciences) as in most other sciences, the process of collecting meaningful data is critical and discussions about the traps and pitfalls in that process talk about sampling.  Not far down the road from that, particularly when lab results are back, conversations involving statisticians, data scientists, geomathematicians, GIS analysts and even normal geologists are likely to attempt to include multiple meanings of sample in the same sentence!Q: Have any data scientists (or statisticians) found practical ways to communicate these different meanings?  One way is to always add soil, rock, statistical and so on before sample.  But I was curious if there are any other approaches to effective communication that are in use.
Communicating clearly about samples
statistics;sampling