WEBINAR: Thursday, April 15 (TOMORROW!) – 1:00 pm Eastern
Anyone who witnessed yesterday’s ARCI Drug Testing Standards and Practices Committee meeting has to be asking themselves if there is not a better way to manage and assess the relevant science pertaining to anti-doping/medication policy.
Racing has three science groups – the RMTC SAC, the USTA HRMC, and the RCI SAG (a blend of the other two). One operates under a non-disclosure policy, the other two don’t. The RMTC analyzes data using a 95/95 statistical model, the USTA uses the GCM (General Circulation Model). Each model generates a different possible threshold recommendation.
Trying to determine who is right and who is wrong is daunting.
For regulators, there are obvious questions:
Should publicly sanctioned entities make policy based on data that is not permitted to be released? Do non-disclosure agreements limiting transparency undermine confidence in the policies ultimately enacted? Should data be analyzed using 95/95 or GCM statistical model? Would it not make sense to crush the existing process and create a new, linear one?In human sport, there is the Partnership for Clean Competition (PCC).
Thursday’s webinar features Michael Pearlmuter, the Executive Director of the PCC. We encourage you to hear what he has to say about all this.
This is an important topic and you are urged to register if you have not already done so..
(Suitable for: Commissioners, Executive Directors, and Veterinarians. Open to the industry and press.)
ARCI sets standards for racing regulation, medication policy, drug testing laboratories, totalizator systems, racetrack operation and security, as well as off-track wagering entities. ARCI’s members are the only independent entities recognized to license, enforce, and adjudicate matters pertaining to racing.