Training Time Optimization

It can be very difficult to find time to train for an event like the Yukon 1000. Even though I've always been in search of more gainz for my guap, I realized quickly that there wasn't going to be any way to short change the hours of low intensity aerobic work that would be needed. I've usually been able to make the most out of what little time I have available. Previously holding down a full time job, updating a "fixer-upper" house, and trying to be a competitive, professional, athlete meant that I needed to rely on shorter duration workouts of a higher intensity... or so I thought (but that's a story for another day). Yukon was going to require new and different metabolic and physiological adaptations.

Which, until yesterday, I was diligently working towards... I received the unfortunate, but seemingly inevitable news that the Yukon 1000 for 2020 will not be held, rather the dates will be announced for a 2021 event.

No matter, I still have goals, so all of the mileage I put in won't go to waste. I even put in one week at 100 miles on the water. The other weeks have consistently been in the 70's and 80's. It takes up a lot of time. And, aside from paddling the Puakea Designs Kahele OC-1 instead of a SUP for most of those miles, there aren't a lot of ways to make that time go any faster.

(Note: the decision to paddle a canoe isn't for increased mileage and decreased resistance, although those are both obviously advantageous, it is due to the fact that my Yukon 1000 craft i̶s̶ was a sitting 2-person marathon canoe. The more mileage I can get sitting in the same position with that paddle, the happier my butt, hips, and hands will be when taking on the 1000)

When I was paddling a ton, I realized I was going to need help with my schedule.

After I prioritized my training sessions each day, scheduled any necessary food prep to ensure proper nutrition and recovery, and put in a morning and afternoon work block for emails and side hustles, there was no room for loading up my car, going to the grocery store, walking around, pi