![]() ![]() Ride 2: Peloton Calories – 480, Apple Calories – 413, Output – 309 kJ, Resistance 47 Ride 1: Peloton Calories – 480, Apple Calories – 468, Output – 371 kJ, Resistance 52 Let's look at the comparable metrics between the two rides: ![]() But now, Apple Watch gives me 330 active calories and 413 total calories – a variance of 45% between Peloton calories and Apple Watch active calories. To test my theory, I took a ride based on my assumptions of a higher cadence and lower resistance to see what results will yield: Why, by using data and the power of Qlik Sense, of course! Oh, and I have to exercise. How can I confirm or invalidate this conclusion. So what? What that means is that, if you get on the Peloton and bike superfast at low Resistance and generate a low overall Output, Apple Watch will reward you with a large number of Calories burned, even though it was an easy ride. Peloton drives its Calorie counting by Output and Heart Rate.Apple Watch doesn't care how hard your ride is it's purely counting Cadence, and some factor of Heart Rate, without consideration for Resistance or Output.Using my powers of intuition, I have formulated some theories that I will attempt to prove with data. What does this mean? How does this happen? Who's right or wrong here? So, according to Apple, had I spent another five leisurely minutes walking the dog, I would have outperformed the crushing Peloton ride. 388 Active Calories, 468 Total Calories, ~130 Avg HR.Ninety resistance at max, legs burning, heart racing and sweat pouring out for the entire 30 minutes. It was a brutal, high-power, beast-mode workout. Later, that day I finished a Peloton ride with Emma Lovewell. To be clear, the Apple Watch was tracking me, not my dogs.ĭid I get my heart rate up – no, not really.ĭid I have a rocking playlist going – heck yes, I did!Īccording to Apple Watch, I burned almost 400 calories and 320 active calories. Let's start with a leisurely walk with my dogs, tracking the exercise with my Apple Watch. ![]()
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