Cirion
Member
Some harder-core data mining.
Using the same method I used in aircraft design in grad school, we can essentially impose the following constraints (shown by red lines). Pulse > 80 bpm, temp > 98.5F, weight change neutral or weight lost. Doing so we get the following
Waking Pulse constraint: Carbs 700-1000g, Protein 100-270g, Fats 0-70g
Waking Temp constraint: Carbs 700-1000g, Protein 50g-200g, Fats 0g-65g
Weight constraint: Carbs: 650-900g, Protein 75g-270g, Fats 0g-75g
Now, the technique you do for aircraft design (OR anything with lots of constraints) is you essentially take the most limiting factors. So to meet all constraints, this leaves us with:
Carbs 700-900g, Protein 75g-200g, Fats 0g-65g.
Taking the middle points
Carbs 800g, Protein 138g, Fats 33g
Using the same method I used in aircraft design in grad school, we can essentially impose the following constraints (shown by red lines). Pulse > 80 bpm, temp > 98.5F, weight change neutral or weight lost. Doing so we get the following
Waking Pulse constraint: Carbs 700-1000g, Protein 100-270g, Fats 0-70g
Waking Temp constraint: Carbs 700-1000g, Protein 50g-200g, Fats 0g-65g
Weight constraint: Carbs: 650-900g, Protein 75g-270g, Fats 0g-75g
Now, the technique you do for aircraft design (OR anything with lots of constraints) is you essentially take the most limiting factors. So to meet all constraints, this leaves us with:
Carbs 700-900g, Protein 75g-200g, Fats 0g-65g.
Taking the middle points
Carbs 800g, Protein 138g, Fats 33g