As if scientists are going to deliver 'us' from all our problems.
The charts and numbers have to be interpreted by some, and even scientists will in the end be divided over the subject. An example was recently given by the discussion on Coyle's efficiency improvement paper. Coyle & Coggan vs. Ashenden et. al.
X: Yes, but the percentage is off by a mere 0.006%
Y: Agreed. The alternative explanation could be that ....
Z: Perhaps, but you are ignoring x,y,z.
A: Interesting, but I must put forward that your testing procedures leave much to be desired.
It's like looking for the Higgs particle. Some say it exists, others don't.
Next thing is that the number of scientists who speak in favour or against an outcome, will determine whether or not someone doped. Science is much more similar to a court of law than is commonly assumed.
On a different note:
A graph is already a perversion - a summary if you will - of 'reality' and the working of a human body. 'Arbitrary' values that are measured and monitored randomly through tests. That's what these 'scientists' or doctors use to form an opinion on the reality of doping.
To read that graph - which has come into existence due to the arbitrary selection of certain criteria associated with endurance sport ie cycling, running speed skating - they assume certain (cor)relations between the variables as depicted in a graph (the abridged version of reality).
Since we are dealing with a graph, which is the basis for monitoring and detection, anyone can come to understand the relations - underlying assumptions - between these variables.
So when a scientist or professor explains the relationships between variables (ie A up --> B must go down unless 1, 2, 3), you don't need to be an expert to interpret the data/graph. You are doing the exact same, following the exact same lines of thinking, as the scientists do, admittedly it is a snap shot to identify certain bodily functions and trends, but nonetheless a scientific snap shot that has been created to easily identify dopers. If you apply the assumption underlying the model that is the basis for the blood passport, you too can read a graph.
So to say that you need to be a scientist to interpret the data as depicted in a graph, is ludicrous.
PS> You do need to be an expert to establish the correct relations between variables, and to devise tests that would enable one to identify 'doping'. Or, if there are unexplainable anomalies - meaning not incorporated in the asumptions that form the basis of the graph - to further hypothesise where these anomalies stem from.