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Feb 4, 2023Liked by Alan Couzens

Hi Alan, this is the book I've been waiting for! Very excited to read as you write.

As a 46 year old female age group triathlete I' m interested in:

- where endurance training approach differs for women

- when providing data, also including data for women

- strength training: who should and how to incorporate it in endurance training to be a balanced athlete

That's my wishlist for now ☺️

And thank you for your great work!

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Looking forward to how this develops! Finding you and Gordo on Twitter has been great fun for this middle aged bop triathlete pursuing fitness and optimal health. I'm thankful for the work you're both doing!

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This looks great. For fine tuning for specific events, would you categorize by race length in time or perhaps pace zone? Example faster than vVO2 max, between Vo2max and AnT, and between AnT and AeT.

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As an IT Engineer, I'm looking forward to the dig into the Python code and work on my data.

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Other than CGM, would you consider sharing your experience/thoughts around the use of other devices such a core body temperature and SmO2 sensors in training/racing/lab testing?

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Fueling during training (and when not training) to encourage high metabolic fitness (fat oxidation) development. CHO per hour for different intensities and duration of sessions.

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Hi Alan,

I suggest covering nutrition for both health and performance in your book. Gels and bars are often associated with performance, but their impact on health is a separate consideration. Given the abundance of misleading information on this topic, addressing it would be valuable, I think.

Thanks,

Ben

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Looking forward to your writings

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Looks great! Two things come to my mind: 1. Continuous Glucose Monitoring - will you cover this? I‘m personally still undecided of its real value apart from possibly checking fueling strategies. 2. Use of data while racing - depending on your sport there is a growing number of real time metrics available. Pace/Power, HR, CGM, how much is too much? I‘m wondering how much focus is lost vs. actionable data gained in endurance events.

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