Your Overall Mood is generally highest after a total of 2 days of Very Productive Score over the previous 7 days.
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Blue represents the sum of Very Productive Score over the previous 7 days
An increase in 7 days cumulative Very Productive Score is usually followed by an increase in Overall Mood. (R = 0.156)
Typical values for Overall Mood following a given amount of Very Productive Score over the previous 7 days.
Typical Very Productive Score seen over the previous 7 days preceding the given Overall Mood value.
This chart shows how your Very Productive Score changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Very Productive Score on each day of the week.
This chart shows the typical value recorded for Very Productive Score for each month of the year.
This chart shows how your Overall Mood changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Overall Mood on each day of the week.
This chart shows the typical value recorded for Overall Mood for each month of the year.

Abstract

You recorded 72 milliseconds Very Productive Score 10 months ago. Your Overall Mood is generally generally 2% higher than normal after a total of2 days Very Productive Score over the previous 7 days. Your data suggests with a high degree of confidence (p=6.6274577509222E-14, 95% CI 0.123 to 0.189) that Very Productive Score has a weakly positive predictive relationship (R=0.16) with Overall Mood. The highest quartile of Overall Mood measurements were observed following an average 2 days Very Productive Score per day. The lowest quartile of Overall Mood measurements were observed following an average 41.65827359506 h Very Productive Score per day.Overall Mood is generally generally 3% lower than normal after a total of 42 hours of Very Productive Score over the previous 7 days. Overall Mood is generally 2% higher after a total of 2 days of Very Productive Score over the previous 7 days.

Objective

The objective of this study is to determine the nature of the relationship (if any) between Very Productive Score and Overall Mood. Additionally, we attempt to determine the Very Productive Score values most likely to produce optimal Overall Mood values.

Participant Instructions

Get RescueTime here and use it to record your Very Productive Score. Once you have a RescueTime account, you can import your data from the Import Data page. Your data will automatically be imported and analyzed.
Record your Overall Mood daily in the reminder inbox or using the interactive web or mobile notifications.

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

Very Productive Score Pre-Processing
Very Productive Score measurement values below 0 seconds were assumed erroneous and removed. Very Productive Score measurement values above 7 days were assumed erroneous and removed. It was assumed that any gaps in Very Productive Score data were unrecorded 0 seconds measurement values.
Very Productive Score Analysis Settings

Overall Mood Pre-Processing
Overall Mood measurement values below 1 out of 5 were assumed erroneous and removed. Overall Mood measurement values above 5 out of 5 were assumed erroneous and removed. No missing data filling value was defined for Overall Mood so any gaps in data were just not analyzed instead of assuming zero values for those times.
Overall Mood Analysis Settings

Predictive Analytics
It was assumed that 0 hours would pass before a change in Very Productive Score would produce an observable change in Overall Mood. It was assumed that Very Productive Score could produce an observable change in Overall Mood for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Quantity
1694 raw Very Productive Score measurements with 1682 changes spanning 1711 days from 2013-08-10 to 2018-04-17 were used in this analysis. 13251 raw Overall Mood measurements with 1161 changes spanning 2458 days from 2012-05-06 to 2019-01-28 were used in this analysis.

Data Sources

Very Productive Score data was primarily collected using RescueTime. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.

Overall Mood 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.

Limitations

As with any human experiment, it was impossible to control for all potentially confounding variables. Correlation does not necessarily imply correlation. 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 Very Productive Score and Overall Mood

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. 1719 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Very Productive Score 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, 2 humans feel that there is a plausible mechanism of action and 0 feel that any relationship observed between Very Productive Score and Overall Mood 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 Very Productive Score
Effect Variable Name Overall Mood
Sinn Predictive Coefficient 0.357
Confidence Level high
Confidence Interval 0.032586030412109
Forward Pearson Correlation Coefficient 0.156
Critical T Value 1.646
Total Very Productive Score Over Previous 7 days Before ABOVE Average Overall Mood 2 days
Total Very Productive Score Over Previous 7 days Before BELOW Average Overall Mood 42 hours
Duration of Action 7 days
Effect Size weakly positive
Number of Paired Measurements 1374
Optimal Pearson Product 0.048905495505512
P Value 6.6274577509222E-14
Statistical Significance 1
Strength of Relationship 0.032586030412109
Study Type individual
Analysis Performed At 2019-01-28

Very Productive Score Statistics

Property Value
Variable Name Very Productive Score
Aggregation Method SUM
Analysis Performed At 2018-12-29
Duration of Action 7 days
Kurtosis 2.8047241568001
Maximum Allowed Value 7 days
Mean 8 hours
Median 8 hours
Minimum Allowed Value 0 seconds
Number of Changes 1682
Number of Correlations 2049
Number of Measurements 1694
Onset Delay 0 seconds
Standard Deviation 4.1801371546685
Unit Hours
Variable ID 5956877
Variance 17.47354663184

Overall Mood Statistics

Property Value
Variable Name Overall Mood
Aggregation Method MEAN
Analysis Performed At 2019-01-28
Duration of Action 24 hours
Kurtosis 6.725960482864
Maximum Allowed Value 5 out of 5
Mean 2.9139 out of 5
Median 3 out of 5
Minimum Allowed Value 1 out of 5
Number of Changes 1161
Number of Correlations 4058
Number of Measurements 13251
Onset Delay 0 seconds
Standard Deviation 0.53288454678104
Unit 1 to 5 Rating
UPC 767674073845
Variable ID 1398
Variance 0.28396594019803

https://lh6.googleusercontent.com/-BHr4hyUWqZU/AAAAAAAAAAI/AAAAAAAIG28/2Lv0en738II/photo.jpg Principal Investigator - Mike Sinn