My point actually is that different languages suit different purposes with no statement about the cost to fund anything. While there may be many different paths

My point actually is that different languages suit different purposes with no statement about the cost to fund anything. While there may be many different paths to achieving a result—in this case numerical computing with any of "Fortran/C++/Matlab/Julia/Python"—certain languages are more suited to certain problem domains than others. You, yourself, stated the most popular languages for numerical computing. Most of those would not be suitable for general web development. Thus languages are neither fungible nor does it seem from the languages you just mentioned (which most would say the same) that there is "zero causal relationship" between a language and solving problems in the domain of interest. In this particular hypothetical, someone would notice a desire to solve deep problems with lots of funding that use numerical computing and could thus look for the languages you mentioned as an initial filter. Such a person would probably not be looking at a javascript role, for instance, given these aims. Thank you.