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Variety of literature shows the validity of N-of-1 approaches. For examples search google scholar for patient-led studies.<ref>https://scholar.google.com/scholar?hl=en&q=patient-led+study</ref> 12 self experimenters won Nobel prizes.<ref>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3298919/</ref>
 
Variety of literature shows the validity of N-of-1 approaches. For examples search google scholar for patient-led studies.<ref>https://scholar.google.com/scholar?hl=en&q=patient-led+study</ref> 12 self experimenters won Nobel prizes.<ref>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3298919/</ref>
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Epidemiological studies are much easier to conduct with digital tools.<ref>https://www.jmir.org/2022/6/e35804</ref> If continuous self tracking data is taken from multiple people it becomes a longitudinal study. These are more reliable than single slice observational studies like the ones most often used by diet papers. Unfortunately, mobile health companies that aggregate data from users rarely do it with real scientific goals in mind. Instead you should contribute that data to researchers through [[Open Humans]].
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Epidemiological studies are much easier to conduct with digital tools.<ref>https://www.jmir.org/2022/6/e35804</ref> If continuous self tracking data is taken from multiple people it becomes a longitudinal study. These are more reliable than single slice observational studies like the ones most often used by papers about diets. Unfortunately, mobile health companies that aggregate data from users rarely do it with real scientific goals in mind. Instead you should contribute that data to researchers through [[Open Humans]].
    
== Reasons Against and Problems ==
 
== Reasons Against and Problems ==
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