This individual's Keystrokes is generally highest after a daily total of 16 minutes of Meditation over the previous 7 days.
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Blue represents the sum of Meditation over the previous 7 days
An increase in 7 days cumulative Meditation is usually followed by an increase in Keystrokes. (R = 0.117)
Typical values for Keystrokes following a given amount of Meditation over the previous 7 days.
Typical Meditation seen over the previous 7 days preceding the given Keystrokes value.
Correlation between outcome and aggregated predictor measurements over given number of days
Peak correlation suggests the delay between predictor and observable outcome
This chart shows how Meditation changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Meditation on each day of the week.
This chart shows the typical value recorded for Meditation for each month of the year.
This chart shows how Keystrokes changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Keystrokes on each day of the week.
This chart shows the typical value recorded for Keystrokes for each month of the year.

Abstract

This individual's Keystrokes is generally 30% higher than normal after a total of 16 minutes Meditation over the previous 7 days. This individual's data suggests with a high degree of confidence (p=0.0089740599315299, 95% CI -2041.363 to 2041.597) that Meditation has a weakly positive predictive relationship (R=0.12) with Keystrokes. The highest quartile of Keystrokes measurements were observed following an average 15 minutes Meditation per day. The lowest quartile of Keystrokes measurements were observed following an average 6.8062622309198 min Meditation per day.Keystrokes is generally 9% lower than normal after a total of 7 minutes of Meditation over the previous 7 days. Keystrokes is generally 30% higher after a total of 15 minutes of Meditation over the previous 7 days.

Objective

The objective of this study is to determine the nature of the relationship (if any) between Meditation and Keystrokes. Additionally, we attempt to determine the Meditation values most likely to produce optimal Keystrokes values.

Participant Instructions

Record your Meditation daily in the reminder inbox or using the interactive web or mobile notifications.
Get WhatPulse here and use it to record your Keystrokes. Once you have a WhatPulse 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

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

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

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

Data Quantity
916 raw Meditation measurements with 263 changes spanning 1889 days from 2014-04-29 to 2019-06-30 were used in this analysis. 2118 raw Keystrokes measurements with 715 changes spanning 2018 days from 2013-11-26 to 2019-06-07 were used in this analysis.

Data Sources

Meditation 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.

Keystrokes data was primarily collected using WhatPulse. WhatPulse is a small application that measures your keyboard/mouse usage, down- & uploads and your uptime. It sends these statistics here, to the website, where you can use these stats to analyze your computing life, compete against or with your friends and compare your statistics to other people.

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 Meditation and Keystrokes

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. 701 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Meditation 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 Meditation and Keystrokes 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 Meditation
Effect Variable Name Keystrokes
Sinn Predictive Coefficient 0.0577
Confidence Level high
Confidence Interval 2041.4800556136
Forward Pearson Correlation Coefficient 0.117
Critical T Value 1.646
Total Meditation Over Previous 7 days Before ABOVE Average Keystrokes 15 minutes
Total Meditation Over Previous 7 days Before BELOW Average Keystrokes 7 minutes
Duration of Action 7 days
Effect Size weakly positive
Number of Paired Measurements 701
Optimal Pearson Product 0.063000409523432
P Value 0.0089740599315299
Statistical Significance 0.9869
Strength of Relationship 2041.4800556136
Study Type individual
Analysis Performed At 2019-06-14

Meditation Statistics

Property Value
Variable Name Meditation
Aggregation Method SUM
Analysis Performed At 2019-07-01
Duration of Action 7 days
Kurtosis 13.850137687697
Maximum Allowed Value 7 days
Mean 80 seconds
Median 0 microseconds
Minimum Allowed Value 0 microseconds
Number of Changes 263
Number of Correlations 278
Number of Measurements 916
Onset Delay 30 minutes
Standard Deviation 3.5609044605963
Unit Minutes
UPC 640791683572
Variable ID 85055
Variance 12.680040577494

Keystrokes Statistics

Property Value
Variable Name Keystrokes
Aggregation Method MEAN
Analysis Performed At 2019-06-09
Duration of Action 7 days
Kurtosis 16.896284896269
Mean 8207.7 event
Median 2820 event
Minimum Allowed Value 1 event
Number of Changes 715
Number of Correlations 1815
Number of Measurements 2118
Onset Delay 0 seconds
Standard Deviation 13958.241702305
Unit Event
Variable ID 1868
Variance 194832511.41996

Tracking Meditation

Record your Meditation daily in the reminder inbox or using the interactive web or mobile notifications.

Tracking Keystrokes

Get WhatPulse here and use it to record your Keystrokes. Once you have a WhatPulse 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