This individual's Guiltiness is generally lowest after a daily total of 32 serving of Against The Grain Pesto Pizza consumption over the previous 7 days.
Join This Study
Go To Interactive Study
Blue represents the sum of Against The Grain Pesto Pizza consumption over the previous 7 days
An increase in 7 days cumulative Against The Grain Pesto Pizza consumption is usually followed by an decrease in Guiltiness. (R = -0.05)
Typical values for Guiltiness following a given amount of Against The Grain Pesto Pizza consumption over the previous 7 days.
Typical Against The Grain Pesto Pizza consumption seen over the previous 7 days preceding the given Guiltiness 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 your Against The Grain Pesto Pizza changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Against The Grain Pesto Pizza on each day of the week.
This chart shows the typical value recorded for Against The Grain Pesto Pizza for each month of the year.
This chart shows how your Guiltiness changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Guiltiness on each day of the week.
This chart shows the typical value recorded for Guiltiness for each month of the year.

Abstract

I couldn't determine the relationship yet because value_predicting_high_outcome: 30.030769230769 is greater than maximum value:30 of default unit: serving for correlation of user for cause: Against The Grain Pesto Pizza and effect: Guiltiness
I generally need a month of data and 30 measurements in order to perform an analysis.
535 raw Against The Grain Pesto Pizza measurements with 127 changes spanning 585 days from 2017-11-19 to 2019-06-27 were used in this analysis.
2973 raw Guiltiness measurements with 716 changes spanning 2048 days from 2013-11-17 to 2019-06-28 were used in this analysis.
If you haven't already, please add a reminder and start tracking. Please create a ticket at http://help.quantimo.do if you need assistance. I love you!

Objective

The objective of this study is to determine the nature of the relationship (if any) between Against The Grain Pesto Pizza and Guiltiness. Additionally, we attempt to determine the Against The Grain Pesto Pizza values most likely to produce optimal Guiltiness values.

Participant Instructions

Record your Against The Grain Pesto Pizza daily in the reminder inbox or using the interactive web or mobile notifications.
Record your Guiltiness 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

Against The Grain Pesto Pizza Pre-Processing
Against The Grain Pesto Pizza measurement values below 0 serving were assumed erroneous and removed. Against The Grain Pesto Pizza measurement values above 30 serving were assumed erroneous and removed. It was assumed that any gaps in Against The Grain Pesto Pizza data were unrecorded 0 serving measurement values.
Against The Grain Pesto Pizza Analysis Settings

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

Predictive Analytics
It was assumed that 0.5 hours would pass before a change in Against The Grain Pesto Pizza would produce an observable change in Guiltiness. It was assumed that Against The Grain Pesto Pizza could produce an observable change in Guiltiness for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Quantity
535 raw Against The Grain Pesto Pizza measurements with 127 changes spanning 585 days from 2017-11-19 to 2019-06-27 were used in this analysis. 2973 raw Guiltiness measurements with 716 changes spanning 2048 days from 2013-11-17 to 2019-06-28 were used in this analysis.

Data Sources

Against The Grain Pesto Pizza 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.

Guiltiness 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

The accuracy of this study may be limited by the fact that value_predicting_high_outcome: 30.030769230769 is greater than maximum value:30 of default unit: serving for correlation of user for cause: Against The Grain Pesto Pizza and effect: Guiltiness. A greater amount of data and more variance in the data would help to resolve this issue.
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 very weakly negative relationship between Against The Grain Pesto Pizza consumption and Guiltiness

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. 483 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Against The Grain Pesto Pizza consumption 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 Against The Grain Pesto Pizza consumption and Guiltiness 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 Against The Grain Pesto Pizza consumption
Effect Variable Name Guiltiness
Sinn Predictive Coefficient 0.0529
Confidence Level medium
Confidence Interval 0.14588216173399
Forward Pearson Correlation Coefficient -0.05
Critical T Value 1.646
Total Against The Grain Pesto Pizza consumption Over Previous 7 days Before ABOVE Average Guiltiness 30.03 serving
Total Against The Grain Pesto Pizza consumption Over Previous 7 days Before BELOW Average Guiltiness 30.868 serving
Duration of Action 7 days
Effect Size very weakly negative
Number of Paired Measurements 483
Optimal Pearson Product 0.004077718323448
P Value 0.18809574309495
Statistical Significance 0.96980249917721
Strength of Relationship 0.14588216173399
Study Type individual
Analysis Performed At 2019-06-28

Against The Grain Pesto Pizza Statistics

Property Value
Variable Name Against The Grain Pesto Pizza
Aggregation Method SUM
Analysis Performed At 2019-06-28
Duration of Action 7 days
Kurtosis 4.415177273682
Maximum Allowed Value 30 serving
Mean 4.2344 serving
Median 5 serving
Minimum Allowed Value 0 serving
Number of Changes 127
Number of Correlations 95
Number of Measurements 535
Onset Delay 30 minutes
Standard Deviation 2.05117455941
Unit Serving
UPC 892453001105
Variable ID 5975124
Variance 4.2073170731707

Guiltiness Statistics

Property Value
Variable Name Guiltiness
Aggregation Method MEAN
Analysis Performed At 2019-06-28
Duration of Action 24 hours
Kurtosis 3.0693668747023
Maximum Allowed Value 5 out of 5
Mean 2.1685 out of 5
Median 2 out of 5
Minimum Allowed Value 1 out of 5
Number of Changes 716
Number of Correlations 5425
Number of Measurements 2973
Onset Delay 0 seconds
Standard Deviation 0.93526347749501
Unit 1 to 5 Rating
Variable ID 1335
Variance 0.87471777233607

Tracking Against The Grain Pesto Pizza

Record your Against The Grain Pesto Pizza daily in the reminder inbox or using the interactive web or mobile notifications.

Tracking Guiltiness

Record your Guiltiness daily in the reminder inbox or using the interactive web or mobile notifications.
Join This Study

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