Difference between revisions of "List of Interesting Self-Tracking Results"

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==Introduction to topic==
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{{Topic Infobox}}
List links to results of a self-tracking experiment that are both non-obvious and actionable.  
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This '''List of interesting self-tracking results''' links to results of a self-tracking experiments that are both non-obvious and (at least potentially) actionable.  
  
Examples that should *not* be on this list:
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Examples that should *not* be on this list would include:
 
* Quitting Smoking Makes Me Cough Less
 
* Quitting Smoking Makes Me Cough Less
 
* Eating more fruits and vegetables makes me healthier
 
* Eating more fruits and vegetables makes me healthier
It should be noted that just about every [[:Category:Projects|Project]] produced an actionable result for the self tracker (conventional wisdom testing, optimal doses) if not a new idea for humanity as a whole.   
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It should be noted that just about every [[:Category:Projects|Project]] has produced an actionable result for the individual self tracker (e.g. conventional wisdom testing, finding optimal doses) if not a new idea for humanity as a whole and are important and valid contributions to personal science.   
 
 
===== Users interested in this topic (add your name to the list below!) =====
 
 
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==== Seth Roberts - [https://wiki.openhumans.org/wiki/Why_is_My_Blood_Sugar_High%3F shows that walking 60 minutes per day improves his blood sugar.] ====
 
==== Seth Roberts - [https://wiki.openhumans.org/wiki/Why_is_My_Blood_Sugar_High%3F shows that walking 60 minutes per day improves his blood sugar.] ====
  
== Observational, Many variables ==
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== Formal Scientific Papers ==
Most talks in [[:Category:Projects|Projects]] focus on a small section of possible variables to track and a few sturdy results. There are the "data dredging" projects which try to track many different aspects of a user and give lots of little advice.
 
======DailyViz notebook======
 
The [https://dailyvis.com/posts/self-analysis-with-my-quantified-self-data/ DailyViz blog] gives an example of finding all relevant correlations in a large, personal self-tracking data set. The blog post show the interactive analysis of their data with some surprising results. The notebook WAS  [https://dailyvis.com/vis/compare/demo/ available].
 
 
 
https://old.reddit.com/r/QuantifiedSelf/comments/bf73ql/i_tracked_everything_i_ate_for_the_last_year/
 
  
https://old.reddit.com/r/dataisbeautiful/comments/r4upsc/oc_my_gf_and_i_tracked_the_effect_of_10_different/ [[Bearable App]]
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* "research from UC San Francisco that tested possible triggers of a common heart condition, including caffeine, sleep deprivation and sleeping on the left side, found that only alcohol use was consistently associated with more episodes of the heart arrhythmia."<ref>https://www.sciencedaily.com/releases/2021/11/211124154126.htm</ref>
  
https://howisfelix.today/. Notebook is available: https://github.com/KrauseFx/FxLifeSheet
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== Observational, Many variables ==
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Most talks in [[:Category:Projects|Projects]] focus on a small section of possible variables to track and a few sturdy results, including those above. There are the "data dredging" or "fishing expedition" projects which try to track many different aspects of a person and give lots of little advice and can be very useful for exploratory work.  
  
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Examples of these types of projects are: 
  
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* The [https://dailyvis.com/posts/self-analysis-with-my-quantified-self-data/ DailyViz blog], which gives an example of finding all relevant correlations in a large, personal self-tracking data set. The blog post show the interactive analysis of their data with some surprising results. The notebook WAS  [https://dailyvis.com/vis/compare/demo/ available].
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* A [https://old.reddit.com/r/QuantifiedSelf/comments/bf73ql/i_tracked_everything_i_ate_for_the_last_year/ reddit post on tracking every food item consumed over a year] and the lessons learned
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* Another [https://old.reddit.com/r/dataisbeautiful/comments/v6cdht/oc_my_habit_correlations_updated_with_6_months_of/ reddit post of time and activity tracking correlation] over 6 months in the form of a graph.
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* A [https://old.reddit.com/r/dataisbeautiful/comments/r4upsc/oc_my_gf_and_i_tracked_the_effect_of_10_different/ post on the effect of 10 different interventions on sleep quality], done using the [[Bearable App]]
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* [[Felix Krause]] wrote his own [https://howisfelix.today/ aggregator & visualizer for a variety of data]. The source [https://github.com/KrauseFx/FxLifeSheet code is available]. <br />
  
{{Topic Queries}}
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[[Category:Discussions]]
[[Category:Topics]]
 

Revision as of 17:53, 28 February 2023

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This List of interesting self-tracking results links to results of a self-tracking experiments that are both non-obvious and (at least potentially) actionable.

Examples that should *not* be on this list would include:

  • Quitting Smoking Makes Me Cough Less
  • Eating more fruits and vegetables makes me healthier

It should be noted that just about every Project has produced an actionable result for the individual self tracker (e.g. conventional wisdom testing, finding optimal doses) if not a new idea for humanity as a whole and are important and valid contributions to personal science.

The List

Nick Winter - A Lazy Man’s Approach to Cognitive Testing

Butter slows by 28ms. Feeling great improves speed by 12ms. Together pracetam and choline counteract the effects of butter. Gluten, whey, lactose, krill oil, and music didn't do anything to Winters. Music made these tests much more fun for him. Acetolocarnatine did a bit on one test. Creatine helped especially on coding test. Walking desk helped a little bit.

Seth Roberts - shows that walking 60 minutes per day improves his blood sugar.

Formal Scientific Papers

  • "research from UC San Francisco that tested possible triggers of a common heart condition, including caffeine, sleep deprivation and sleeping on the left side, found that only alcohol use was consistently associated with more episodes of the heart arrhythmia."[1]

Observational, Many variables

Most talks in Projects focus on a small section of possible variables to track and a few sturdy results, including those above. There are the "data dredging" or "fishing expedition" projects which try to track many different aspects of a person and give lots of little advice and can be very useful for exploratory work.

Examples of these types of projects are: