Vowel normalization procedures are commonly evaluated on the basis of how effectively they separate the vowels of a single test data set into distinct groups, corresponding to the phonetic categories of that human language. A quantifiable method of evaluation is proposed here, based on how much of the overall variance is removed from the data. This evaluation method is applied to the vowels or 6 different Germanic languages which were normalized according to 4 different procedures. No 1 normalization procedure is the most effective for all languages. Some of the most successful of these normalizations introduce procedural artifacts into the data, and the relative quality of vowels across languages or dialects is altered. Comparisons of the normalized vowels of 1 language with the (separately) normalized vowels of another language are not valid if the vowel systems are different. Some reasons for the appearance of these procedural artifacts are discussed.