Normal' Does

not mean Optimal.

Most labs formulate their reference ranges using normal distribution, whereby the middle 95% of a healthy population’s results are considered normal, and the 2.5% on either end are classified as abnormal. This method provides benefit when people are acutely unwell, allowing for easy interpretation by creating clear cut-offs for disease.

However, this over-reliance on statistics means a ‘normal’ result may correspond to the absence of overt disease,  but not ideal physiology. These ranges lead to a reactive approach to healthcare; trends towards dysfunction are often overlooked until they cross the pathological threshold.

In the world of human performance, this method does not work. A new gold standard is required because if you compare yourself to the average, you will become the average. 

Creating Reference Ranges

that Matter

By comparing results from high-performing athletes and using research on the cutting edge of peak performance and longevity medicine, reference ranges can be formed that actually correlate with high-level results. Standard values are either ‘cut’, ‘compressed’ or ‘conveyed’ (or often a combination of all three) to reflect physiology, not statistics.

  • Many biomarkers need either the upper or lower end of normal adjusted.

  • Any rise in inflammatory markers, auto-antibodies and cardiac enzymes can reflect significant dysfunction. The normal range is corrected by cutting out the upper end.

  • Vitamins and minerals benefit from being kept as high as safely possible. The low end of normal can still correlate to a deficiency.

  • Most normal ranges require tightening at both ends. This does not mean compressing both sides of the range equally, as this is just a more extreme approach to how labs create their ranges in the first place.

  • Compressed optimal ranges are created by analysing data from athletes and healthy individuals and identifying patterns linked to performance and longevity.

  • This is then combined with the latest research on biomarkers and their associated diseases to form the optimal range. 

  • Performance and longevity are not mutually inclusive i.e ‘what is best for your health, is not always best for your sport’.

  • Optimal performance ranges can be shifted into the abnormal range, where performance benefits can be obtained at a potentially increased risk to health.

  • The benefits vs. risks need to be weighed up on an individual basis to decide what limits are prepared to be pushed. 

Turn your blood Results

into real results