Big data can help you exercise bike away from stimulants

We have no reason to believe that Chris Froome in the use of stimulants - though now in his own sport's performance is the best, and this project is also the exact bike.

Remain cautious on the bike project has now become a habit, this project has been to find trapped doping scandal, especially after the events in Armstong is intensified.

Froome leader gesture to enter into the 100th Tour de France last weekend's tournament, the tournament last 19 days, all the mileage of nearly 2000 miles.cannondale cycling jersey  But every day, he and his team manager must answer the same question, that is, whether Froome taking stimulants.

In addition to tired beyond, Froome's team made an unexpected move: they will Froome nearly two years of physical data was sent to France and the French physiologist Equipe Frederic Grappe, so his analysis Froome's performance is normal. Conclusion is: Froome's performance is indeed very unusual, but he did not take stimulants.

Froome and his team found that this move allows us big data for the future of cycling can play a role in two points.

The first role is to investigate the use of prohibited drugs. Athlete's energy team record data - usually a man pedaling power as well as the person's weight, combined with other blood tests analyzed together, that can better help investigate the use of prohibited drugs

Some people feel that the data is too open may cause misunderstanding, three times Tour de France winner Greg LeMond did not agree with this view, he said: "Open to benefit athletes, good for everybody. Doing so you can get rid of the suspect. "

But even LeMond also think these data is open to experts is sufficient. However Froome team will be open to all the data, they are not afraid "pseudo-experts" to blending.

Some companies, such as GE, Merck, Pfizer and Netflix to spend employ "pseudo-experts" to attack their large data stores, data outside experts hope to discover some of the company's internal experts found no loopholes. Including Grappe including people have been preparing for their own physical data analysis. china cycling clothing Cycling should be the same as these big companies embrace the assessment of a variety of ways.

Another role is to big data: Using data to enhance the popularity of professional sports themselves. Cycling problems including stimulants, but also the problem of insufficient popularity.

Because MapMyRide like Strava and mobile applications such as, combined heart rate and energy meter, making amateur cyclists to par with professional athletes. Professional cycling should embrace growth data, providing drivers of the data and the way to find a good way to marketing the sport.

How do you think? Like Froome data as open to the public to help the sport do? I do not know what help, but I do know is if the data is consistent with blockade, we never know what will open. To me, it will be open to all the data and see what happens in the end.