For most, Shame is generally lowest after an average of 150 pounds of Body Weight over the previous 7 days.
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People with higher Body Weight usually have higher Shame
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Body Weight on each day of the week.
This chart shows the typical value recorded for Body Weight for each month of the year.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Shame on each day of the week.
This chart shows the typical value recorded for Shame for each month of the year.

Abstract

Aggregated data from 7 study participants suggests with a low degree of confidence (p=0.17776754326782, 95% CI -0.443 to 0.429) that Body Weight has a very weakly negative predictive relationship (R=-0.01) with Shame. The highest quartile of Shame measurements were observed following an average 160.98 pounds Body Weight. The lowest quartile of Shame measurements were observed following an average 162.30979121113 lb Body Weight.

Objective

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

Participant Instructions

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

Design

This study is based on data donated by 7 participants. Thus, the study design is equivalent to the aggregation of 7 separate n=1 observational natural experiments.

Data Analysis

Body Weight Pre-Processing
Body Weight measurement values below 0 pounds were assumed erroneous and removed. Body Weight measurement values above 1000 pounds were assumed erroneous and removed. No missing data filling value was defined for Body Weight so any gaps in data were just not analyzed instead of assuming zero values for those times.
Body Weight Analysis Settings

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

Predictive Analytics
It was assumed that 0 hours would pass before a change in Body Weight would produce an observable change in Shame. It was assumed that Body Weight could produce an observable change in Shame for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Sources

Body Weight data was primarily collected using Fitbit. Fitbit makes activity tracking easy and automatic.

Shame 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 very weakly negative relationship between Body Weight and Shame

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. 29 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Body Weight 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 Body Weight and Shame 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 Body Weight
Effect Variable Name Shame
Sinn Predictive Coefficient 0.00089756373709396
Confidence Level low
Confidence Interval 0.43638043877948
Forward Pearson Correlation Coefficient -0.0071
Critical T Value 1.7137142857143
Average Body Weight Over Previous 7 days Before ABOVE Average Shame 160.98 pounds
Average Body Weight Over Previous 7 days Before BELOW Average Shame 162.30979121113 pounds
Duration of Action 7 days
Effect Size very weakly negative
Number of Paired Measurements 29
Optimal Pearson Product 0.36000938506341
P Value 0.17776754326782
Statistical Significance 0.10527143042002
Strength of Relationship 0.43638043877948
Study Type population
Analysis Performed At 2019-01-29
Number of Participants 7

Body Weight Statistics

Property Value
Variable Name Body Weight
Aggregation Method MEAN
Analysis Performed At 2019-01-17
Duration of Action 7 days
Kurtosis 25.470204651548
Maximum Allowed Value 1000 pounds
Mean 168.97283090379 pounds
Median 169.42999976732 pounds
Minimum Allowed Value 0 pounds
Number of Correlations 966
Number of Measurements 76334
Onset Delay 0 seconds
Standard Deviation 184.51819331854
Unit Pounds
UPC 875011003902
Variable ID 1486
Variance 8495258.0892244

Shame Statistics

Property Value
Variable Name Shame
Aggregation Method MEAN
Analysis Performed At 2019-01-18
Duration of Action 24 hours
Kurtosis 3.5382186707826
Maximum Allowed Value 5 out of 5
Mean 2.2145381017882 out of 5
Median 2.1500402432658 out of 5
Minimum Allowed Value 1 out of 5
Number of Correlations 307
Number of Measurements 20668
Onset Delay 0 seconds
Standard Deviation 0.62734560754172
Unit 1 to 5 Rating
Variable ID 1443
Variance 0.67641801665658

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