So I have a couple of ideas for you, specifically for XXYers to better understand youy own predicament.
1. The study is devised on a concept called percent of scale, meaning that the banding group participants (male, female, intersex) which come from all parts of the world and from many testing environments can meaningfully compare their results and base hormone assays with others. For example, someone doing a testosterone test in Australia might have a result in nmol/L in the range of 0-30, with a normal male range of 12-30; While someone in the USA might be receiving results in the range of 0-1000, with a male range of 350-900.
- Different Ranges of Results: Every company or state which does hormone testing uses devices which produce similar results with in a common error, but they are not the same. Even a lab corporate giant like Quest Labs in the USA which has testing centers in every major city (dozens of centers) has variance in their absolute ranges reported in their tests. This is a result of using different machines which affect the total range as well as other issues which result in larger or smaller known error.
- Error is scientific term of absolute value, known to be correct withing a range of +/- some much smaller value, and we are dealing with very small numbers indeed in the nano and pico ranges.
- We can talk about estradiol in the same fashion as testosterone, although its chemical range identifier is different representing even smaller quantities as pg/ml and pmol/L. The 'p' is pico.
- Testosterone is expressed in ng/dl or nmol/L, and the 'n' is for nano.
- A result of 100 on a scale of 0-1000, is 100 divided by 1000 equals 0.1. We interpret the 0.1 on a range of 0.00 to 1.00, or we multiple the results by 100, either way the percentage of 0.1 is 10%, or .. 0.1 x 100 = 10%
- A result of 4 on a scale of 0-30. 4/30 = 0.133333, and we only care for this exercise about the first three digits so 0.13 is our answer, which is 13%, or 0.13 x 100 = 13%.
- A result of 240 ng/dl on a scale of 0-1200 ng/dl, is 240/1200 = 0.20 or 20%.
- Range below 4%. Female.
- Range below 6%. Female or Intersex.
- Range below 9%. Female or Intersex.
- Range below 15%. Intersex or Male.
- Range above 15%. Male.
If I can determine and hold a high degree of confidence in the results, then it is absolutely criminal what medical practitioners are doing with their forced masculinization process that is being applied to all XXY people under the "recommendation" they be given testosterone by default.
Seeking a credible PhD who would like to study and establish the population of XXY people. Please inquire. Thank you, Onnineko (email@example.com).