The numerical distance effect (it is easier to compare numbers that are further apart) and size effect (for a constant distance, it is easier to compare smaller numbers) characterize symbolic number processing. However, evidence for a relationship between these two basic phenomena and more complex mathematical skills is mixed. Previously this relationship has only been studied in participants with normal or poor mathematical skills, not in mathematicians. Furthermore, the prevalence of these effects at the individual level is not known. Here we compared professional mathematicians, engineers, social scientists, and a reference group using the symbolic magnitude classification task with single-digit Arabic numbers. The groups did not differ with respect to symbolic numerical distance and size effects in either frequentist or Bayesian analyses. Moreover, we looked at their prevalence at the individual level using the bootstrapping method: while a reliable numerical distance effect was present in almost all participants, the prevalence of a reliable numerical size effect was much lower. Again, prevalence did not differ between groups. In summary, the phenomena were neither more pronounced nor more prevalent in mathematicians, suggesting that extremely high mathematical skills neither rely on nor have special consequences for analogue processing of symbolic numerical magnitudes. Numerical knowledge is encoded in multiple formats serving specific functions 1-3. The first kind of code contains the analogue representation of number magnitude; the second one encompasses the visual form of numbers; and the third one stores linguistic representations of numbers. Regarding the first code, namely, analogue magnitude, there is a large body of evidence for shared behavioural characteristics of comparative judgements on symbolic numbers, e.g., Arabic 4-6 , non-symbolic numerals, e.g., sets of dots 7,8 , and other continua including line length 9 , angle 10 , physical object size 11,12 , luminance 13,14 , and non-directly perceivable properties like intelligence 15,16. Walsh 17 proposed the "theory of magnitude" (ATOM) for the processing of these and other continua, which can be thought of in terms of classification of "more or less than. " characteristics of analogue numerical magnitude processing. Analogue magnitude comparisons have been studied in different human cultures, languages and notations 7,18,19 , as well as age groups 20,21. Moreover, there is an extensive knowledge base regarding magnitude comparisons in various non-human animal species 22-24 , from insects 25 , through fish 26 , amphibians 27 , and birds 28 , up to monkeys 29 and apes 30. Taken together, these studies suggest presence of the analogue numerical magnitude representation among human beings and its deep evolutionary origins 31. On the other hand, studying numerical magnitude comparisons in animals is basically limited to non-symbolic material. Analogue magnitude comparisons, both involving symbolic and non-symbolic numerical instances, are often assum...