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This individual's Code Commits is generally highest after a daily total of 5 count of Digestive Advantage Probiotic over the previous 7 days.
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Blue represents the sum of Digestive Advantage Probiotic over the previous 7 days
An increase in 7 days cumulative Digestive Advantage Probiotic is usually followed by an increase in Code Commits. (R = 0.232)
Typical values for Code Commits following a given amount of Digestive Advantage Probiotic over the previous 7 days.
Typical Digestive Advantage Probiotic seen over the previous 7 days preceding the given Code Commits value.
This chart shows how your Digestive Advantage Probiotic changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Digestive Advantage Probiotic on each day of the week.
This chart shows the typical value recorded for Digestive Advantage Probiotic for each month of the year.
This chart shows how your Code Commits changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Code Commits on each day of the week.
This chart shows the typical value recorded for Code Commits for each month of the year.

Abstract

This individual's Code Commits is generally 31.37% higher than normal after a total of 5 count Digestive Advantage Probiotic over the previous 7 days. This individual's data suggests with a high degree of confidence (p=1.9602850978241E-11, 95% CI -6.63 to 7.094) that Digestive Advantage Probiotic has a weakly positive predictive relationship (R=0.23) with Code Commits. The highest quartile of Code Commits measurements were observed following an average 4.11 count Digestive Advantage Probiotic per day. The lowest quartile of Code Commits measurements were observed following an average 2.3224431818182 count Digestive Advantage Probiotic per day.Code Commits is generally 21.49% lower than normal after a total of 2.3224431818182 count of Digestive Advantage Probiotic over the previous 7 days. Code Commits is generally 31.37% higher after a total of 4.11 count of Digestive Advantage Probiotic over the previous 7 days.

Objective

The objective of this study is to determine the nature of the relationship (if any) between Digestive Advantage Probiotic and Code Commits. Additionally, we attempt to determine the Digestive Advantage Probiotic values most likely to produce optimal Code Commits values.

Participant Instructions

Record your Digestive Advantage Probiotic daily in the reminder inbox or using the interactive web or mobile notifications.
Get GitHub here and use it to record your Code Commits. Once you have a GitHub account, you can import your data from the Import Data page. This individual's data will automatically be imported and analyzed.

Design

This study is based on data donated by one participant. Thus, the study design is consistent with an n=1 observational natural experiment.

Data Analysis

Digestive Advantage Probiotic Pre-Processing
Digestive Advantage Probiotic measurement values below 0 count were assumed erroneous and removed. No maximum allowed measurement value was defined for Digestive Advantage Probiotic. It was assumed that any gaps in Digestive Advantage Probiotic data were unrecorded 0 count measurement values.
Digestive Advantage Probiotic Analysis Settings

Code Commits Pre-Processing
Code Commits measurement values below 0 event were assumed erroneous and removed. No maximum allowed measurement value was defined for Code Commits. It was assumed that any gaps in Code Commits data were unrecorded 0 event measurement values.
Code Commits Analysis Settings

Predictive Analytics
It was assumed that 0.5 hours would pass before a change in Digestive Advantage Probiotic would produce an observable change in Code Commits. It was assumed that Digestive Advantage Probiotic could produce an observable change in Code Commits for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Quantity
394 raw Digestive Advantage Probiotic measurements with 119 changes spanning 898 days from 2016-05-02 to 2018-10-16 were used in this analysis. 90354 raw Code Commits measurements with 1673 changes spanning 2125 days from 2013-07-19 to 2019-05-14 were used in this analysis.

Data Sources

Digestive Advantage Probiotic data was primarily collected using QuantiModo. QuantiModo allows you to easily track mood, symptoms, or any outcome you want to optimize in a fraction of a second. You can also import your data from over 30 other apps and devices. QuantiModo then analyzes your data to identify which hidden factors are most likely to be influencing your mood or symptoms.

Code Commits data was primarily collected using GitHub. GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over four million people use GitHub to build amazing things together.

Limitations

As with any human experiment, it was impossible to control for all potentially confounding variables. Correlation does not necessarily imply causation. We can never know for sure if one factor is definitely the cause of an outcome. However, lack of correlation definitely implies the lack of a causal relationship. Hence, we can with great confidence rule out non-existent relationships. For instance, if we discover no relationship between mood and an antidepressant this information is just as or even more valuable than the discovery that there is a relationship.
We can also take advantage of several characteristics of time series data from many subjects to infer the likelihood of a causal relationship if we do find a correlational relationship. The criteria for causation are a group of minimal conditions necessary to provide adequate evidence of a causal relationship between an incidence and a possible consequence.

The list of the criteria is as follows:
Strength (A.K.A. Effect Size)
A small association does not mean that there is not a causal effect, though the larger the association, the more likely that it is causal. There is a weakly positive relationship between Digestive Advantage Probiotic and Code Commits

Consistency (A.K.A. Reproducibility)
Consistent findings observed by different persons in different places with different samples strengthens the likelihood of an effect. Furthermore, in accordance with the law of large numbers (LLN), the predictive power and accuracy of these results will continually grow over time. 957 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Digestive Advantage Probiotic values, the observed strength of the relationship will decline until it is below the threshold of significance. To it another way, in the case that we do find a spurious correlation, suggesting that banana intake improves mood for instance, one will likely increase their banana intake. Due to the fact that this correlation is spurious, it is unlikely that you will see a continued and persistent corresponding increase in mood. So over time, the spurious correlation will naturally dissipate.

Specificity
Causation is likely if a very specific population at a specific site and disease with no other likely explanation. The more specific an association between a factor and an effect is, the bigger the probability of a causal relationship.

Temporality
The effect has to occur after the cause (and if there is an expected delay between the cause and expected effect, then the effect must occur after that delay). The confidence in a causal relationship is bolstered by the fact that time-precedence was taken into account in all calculations.

Biological Gradient
Greater exposure should generally lead to greater incidence of the effect. However, in some cases, the mere presence of the factor can trigger the effect. In other cases, an inverse proportion is observed: greater exposure leads to lower incidence.

Plausibility
A plausible bio-chemical mechanism between cause and effect is critical. This is where human brains excel. Based on our responses so far, 1 humans feel that there is a plausible mechanism of action and 0 feel that any relationship observed between Digestive Advantage Probiotic and Code Commits is coincidental.

Coherence
Coherence between epidemiological and laboratory findings increases the likelihood of an effect. It will be very enlightening to aggregate this data with the data from other participants with similar genetic, diseasomic, environmentomic, and demographic profiles.

Experiment
All of human life can be considered a natural experiment. Occasionally, it is possible to appeal to experimental evidence.

Analogy
The effect of similar factors may be considered.

Relationship Statistics

Property Value
Cause Variable Name Digestive Advantage Probiotic
Effect Variable Name Code Commits
Sinn Predictive Coefficient 0.2318
Confidence Level high
Confidence Interval 6.8615159302808
Forward Pearson Correlation Coefficient 0.232
Critical T Value 1.646
Total Digestive Advantage Probiotic Over Previous 7 days Before ABOVE Average Code Commits 4.11 count
Total Digestive Advantage Probiotic Over Previous 7 days Before BELOW Average Code Commits 2.322 count
Duration of Action 7 days
Effect Size weakly positive
Number of Paired Measurements 957
Optimal Pearson Product 0.12876556473258
P Value 1.9602850978241E-11
Statistical Significance 0.99934463113264
Strength of Relationship 6.8615159302808
Study Type individual
Analysis Performed At 2019-05-15

Digestive Advantage Probiotic Statistics

Property Value
Variable Name Digestive Advantage Probiotic
Aggregation Method SUM
Analysis Performed At 2019-04-22
Duration of Action 7 days
Kurtosis 7.5556991221432
Mean 0.39875 count
Median 0 count
Minimum Allowed Value 0 count
Number of Changes 119
Number of Correlations 168
Number of Measurements 394
Onset Delay 30 minutes
Standard Deviation 0.55207265667969
Unit Count
UPC 19779799
Variable ID 5926113
Variance 0.30478421825337

Code Commits Statistics

Property Value
Variable Name Code Commits
Aggregation Method SUM
Analysis Performed At 2019-05-15
Duration of Action 7 days
Kurtosis 96.444598305991
Mean 41.906 event
Median 15 event
Minimum Allowed Value 0 event
Number of Changes 1673
Number of Correlations 2644
Number of Measurements 90354
Onset Delay 0 seconds
Standard Deviation 95.659678731929
Unit Event
Variable ID 5955693
Variance 9150.7741350959

Tracking Digestive Advantage Probiotic

Record your Digestive Advantage Probiotic daily in the reminder inbox or using the interactive web or mobile notifications.

Tracking Code Commits

Get GitHub here and use it to record your Code Commits. Once you have a GitHub account, you can import your data from the Import Data page. This individual's data will automatically be imported and analyzed.
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https://lh6.googleusercontent.com/-BHr4hyUWqZU/AAAAAAAAAAI/AAAAAAAIG28/2Lv0en738II/photo.jpg Principal Investigator - Mike Sinn