code: def genderStats(self, asFractions = False):
          
  
          maleCount = 0
          femaleCount = 0
          unknownCount = 0
          for R in self:
              m, f, u = R.authGenders(_countsTuple = True)
              maleCount += m
              femaleCount += f
              unknownCount += u
          if asFractions:
              tot = maleCount + femaleCount + unknownCount
              return {'Male' : maleCount / tot, 'Female' : femaleCount / tot, 'Unknown' : unknownCount / tot}
          return {'Male' : maleCount, 'Female' : femaleCount, 'Unknown' : unknownCount}
docs: Creates a dict (`{'Male' : maleCount, 'Female' : femaleCount, 'Unknown' : unknownCount}`) with the numbers of male, female and unknown names in the collection.
  
          # Parameters
  
          _asFractions_ : `optional bool`
  
          > Default `False`, if `True` the counts will be divided by the total number of names, giving the fraction of names in each category instead of the raw counts.
  
          # Returns
  
          `dict[str:int]`
  
          > A dict with three keys `'Male'`, `'Female'` and `'Unknown'` mapping to their respective counts