OK I have had a little time to light a fire under my grey cells.
What is important to remember is that this is likely a database with only the raw blood data and that they are using a criteria that likely gives a huge amount of false positives. Meaning there are likely a lot of clean athletes that are included in their suspicious list. The upside of that is that those with no suspicious activity are extremely likely to be clean as in not blod doped.
Another important thing to remember was that the testing was not standardized until 2004-2005. That means the variation in measuremnts is likely to be a lot higher than after the standardization. Meaning there could be a lot of suspicions that are due to measuring errors before 2004-05
quote bo Berglund:
https://www.svt.se/sport/vintersport/dopningsexpert-1
orignal:
En av Sveriges ledande experter på området blodpass är Bo Berglund, som också sitter med i det medicinska rådet. Han har inte sett Uppdrag granskning men menar att det är oerhört komplext och att man ska vara försiktig med vad man säger.
– Det görs fel i provtagning, analys, det ligger liksom osäkerhet i det här. Har man klämt armen på rätt sätt, har man suttit och vilat på rätt tidpunkter och tillräckligt länge. Allt det här ska göras på standardiserat sätt och vi tog fram regler för det där kring 2004-2005, säger Berglund och fortsätter:
– Innan dess var det ”hej och hå” med standardiseringen. Så man måste också se när det här var taget. Det här är inte så lätt att det är ett värde man bara kastar fram.
google translate:
One of Sweden's leading experts in the field of blood pass is Bo Berglund, who is also in the medical council. He has not seen mission review but believes it is extremely complex and that you should be careful about what you say.
- It's done wrong in sampling, analysis, it's like uncertainty in this. If you have stuck your arm correctly, you have been sitting and resting at the right time and for a long time. All this should be done in a standardized manner and we developed rules for that around 2004-2005, "Berglund says, continuing:
"Before then it was" hello and hope "with the standardization. So one must also see when this was taken. This is not so easy that it's a value you just throw out.
Since it is likely raw data, it is unlikely to contain notes like:
*caught for doping as a result of increased testing on athlete,
* athlete was ill,
* xxx machine broken, used yyy device instead.
So that means there are a lot of things that could cause a suspicious ping not related to any doping. However if there are repeat suspicions for an athlete the chance of it being the result of an error is reduced. Also they require only one of four experts to see a reading as suspicious before including it in the suspicious group.
So the Data needs filtering/washing.
How many are suspicious if:
* Testing prior to 2004/5 is exluded
* Graded according to the amount of suspicious samples per athlete. I.e how many had one/2/3/etc suspicious samples.
* Graded according to samples degree of expert agreement. I.e. How many were marked suspicious by 1/2/3/4 experts.
So a tabloid question like: Why weren't these people caught? The answer might very well be because they didn't dope.
Also important to remember about statistics. The French have very few racers. So it takes fewer tests for them to stick out. Now lets say all the suspicious tests were taken in the period before testing standardization. The suspicious reading could have an explanation that the French team were sending lets say dehydrated skiers to take samples. Thereby everybody theoretically has screwed up readings. Hence the statistical effect of just a few errors becomes huge.
So in essence: this info is interesting but it really can not say much new about doping in XC until at least some of the sources for error can be accounted for. But I would love it if the Times would give me the database. Then I might have a crack at seeing if there were any dopers that weren't caught.