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Quantifying doesn't necessarily lead to overwhelming data or questioning. If you want to improve something it is a good idea to measure it. Sensible examples
by corv 8y ago
Quantifying doesn't necessarily lead to overwhelming data or questioning.
If you want to improve something it is a good idea to measure it.
Sensible examples might include: repetitions and weights at the gym, body weight, running / walking distance, hours slept, time wasted on social media
Counting calories might not have to be done continuously depending on your diet and goals but definitely helps to realise how much sugar and carbs are in many foods. Calibrating your perception in this way might be enough to convince you to change your habits for good.
Many things can be tracked conveniently or automatically even without the need to go BigData.
A cheap air monitor can detect high CO2 or VOC in enclosed spaces. Without insight a simple fix such as opening a window may not occur to some.
The hope that our bodies can regulate everything intrinsically is not good enough in an increasingly artificial environment and natural is not always healthy.