This individual's Overall Mood is generally 2.9% lower after 88.9 milliliters Listerine Antiseptic Mouthwash over the previous 10 days.


Abstract
This individual's Overall Mood is generally 1% higher than normal after a total of 61 milliliters Listerine Antiseptic Mouthwash over the previous 10 days. This individual's data suggests with a high degree of confidence (p=0.21309081026849, 95% CI 0.087 to 0.043) that Listerine Antiseptic Mouthwash has a very weakly negative predictive relationship (R=0.02) with Overall Mood. The highest quartile of Overall Mood measurements were observed following an average 64.29 milliliters Listerine Antiseptic Mouthwash per day. The lowest quartile of Overall Mood measurements were observed following an average 67.028169014085 mL Listerine Antiseptic Mouthwash per day. Overall Mood is generally 1% lower than normal after a total of 67.028169014085 milliliters of Listerine Antiseptic Mouthwash over the previous 10 days. Overall Mood is generally 1% higher after a total of 64.29 milliliters of Listerine Antiseptic Mouthwash over the previous 10 days.
Objective
The objective of this study is to determine the nature of the relationship (if any) between Listerine Antiseptic Mouthwash and Overall Mood. Additionally, we attempt to determine the Listerine Antiseptic Mouthwash values most likely to produce optimal Overall Mood values.
Participant Instructions
Record your Listerine Antiseptic Mouthwash daily in the reminder inbox or using the interactive web or mobile notifications.
Record your Overall Mood daily in the reminder inbox or using the interactive web or mobile notifications.
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
Listerine Antiseptic Mouthwash PreProcessing
Listerine Antiseptic Mouthwash measurement values below 0 milliliters were assumed erroneous and removed. No maximum allowed measurement value was defined for Listerine Antiseptic Mouthwash. It was assumed that any gaps in Listerine Antiseptic Mouthwash data were unrecorded 0 milliliters measurement values.
Overall Mood PreProcessing
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.
Predictive Analytics
It was assumed that 0 hours would pass before a change in Listerine Antiseptic Mouthwash would produce an observable change in Overall Mood. It was assumed that Listerine Antiseptic Mouthwash could produce an observable change in Overall Mood for as much as 10 days after the stimulus event.
Data Quantity
309 raw Listerine Antiseptic Mouthwash measurements with 218 changes spanning 563 days from 20180207 to 20190824 were used in this analysis. 14190 raw Overall Mood measurements with 1276 changes spanning 2668 days from 20120506 to 20190825 were used in this analysis.
Listerine Antiseptic Mouthwash measurement values below 0 milliliters were assumed erroneous and removed. No maximum allowed measurement value was defined for Listerine Antiseptic Mouthwash. It was assumed that any gaps in Listerine Antiseptic Mouthwash data were unrecorded 0 milliliters measurement values.

Overall Mood PreProcessing
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.

Predictive Analytics
It was assumed that 0 hours would pass before a change in Listerine Antiseptic Mouthwash would produce an observable change in Overall Mood. It was assumed that Listerine Antiseptic Mouthwash could produce an observable change in Overall Mood for as much as 10 days after the stimulus event.

Data Quantity
309 raw Listerine Antiseptic Mouthwash measurements with 218 changes spanning 563 days from 20180207 to 20190824 were used in this analysis. 14190 raw Overall Mood measurements with 1276 changes spanning 2668 days from 20120506 to 20190825 were used in this analysis.
Statistical Significance
Using a twotailed ttest with alpha = 0.05, it was determined that the change in Overall Mood is not statistically significant at a 95% confidence interval. This suggests that the Listerine Antiseptic Mouthwash value does not have a significant influence on the Overall Mood value.After treatment, a 2.9% decrease (0.084342446694826 out of 5) from the mean baseline 2.8649971582836 out of 5 was observed. The relative standard deviation at baseline was 11.8%. The observed change was 0.24913499445429 times the standard deviation. A common rule of thumb considers a change greater than twice the baseline standard deviation on two separate prepost experiments may be considered significant. This occurrence would may have only a 5% likelihood of resulting from random fluctuation (a pvalue
Data Sources
Listerine Antiseptic Mouthwash 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.
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.
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 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 nonexistent 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 Listerine Antiseptic Mouthwash 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. 502 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Listerine Antiseptic Mouthwash 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 timeprecedence 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 biochemical 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 Listerine Antiseptic Mouthwash 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.
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 Listerine Antiseptic Mouthwash 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. 502 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Listerine Antiseptic Mouthwash 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 timeprecedence 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 biochemical 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 Listerine Antiseptic Mouthwash 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  Listerine Antiseptic Mouthwash 
Effect Variable Name  Overall Mood 
Sinn Predictive Coefficient  0.022 
Confidence Level  high 
Confidence Interval  0.065153128143072 
Forward Pearson Predictive Coefficient  0.022 
Critical T Value  1.646 
Total Listerine Antiseptic Mouthwash Over Previous 10 days Before ABOVE Average Overall Mood  64.29 milliliters 
Total Listerine Antiseptic Mouthwash Over Previous 10 days Before BELOW Average Overall Mood  67.028 milliliters 
Duration of Action  10 days 
Effect Size  very weakly negative 
Number of Paired Measurements  523 
Optimal Pearson Product  0.00091536073161282 
P Value  0.21309081026849 
Statistical Significance  0.9995 
Strength of Relationship  0.065153128143072 
Study Type  individual 
Analysis Performed At  20190807 
Number of Pairs  523 
Number of Raw Predictor Measurements ( Including Tags, Joins, and Children)  483 
Baseline Relative Standard Deviation of Outcome Measurements  11.8 
Experiment Duration (days)  594 
Number of Raw Outcome Measurements  14110 
Z Score  0.24913499445428627 
Last Analysis  20190807 
Experiment Began  20180108 02:13:21 
Experiment Ended  20190825 17:00:00 
P Value  0.21309081026849 
Predictor Category  Treatments 
Duration of Action (h)  240 
Significance  0.9995 
Outcome Relative Standard Deviation at Baseline  11.8 
Outcome Standard Deviation at Baseline  0.33854114665654633/5 
Outcome Mean at Baseline  2.864997158283604/5 
Average Followup Change From Baseline  2.9& 
Average Absolute Followup Change From Baseline  2.7806547115887774/5 
Z Score  0.24913499445428627 
Average Predictor Treatment Value  88.9mL over 10 days 
Listerine Antiseptic Mouthwash Statistics
Property  Value 

Variable Name  Listerine Antiseptic Mouthwash 
Aggregation Method  SUM 
Analysis Performed At  20190825 
Duration of Action  10 days 
Kurtosis  3.315007956392854 
Mean  6.428599999999999 milliliters 
Median  0 milliliters 
Minimum Allowed Value  0 milliliters 
Number of Changes  218 
Number of Correlations  116 
Number of Measurements  309 
Onset Delay  0 seconds 
Standard Deviation  9.845243111717087 
Unit  Milliliters 
UPC  312547428255 
Variable ID  5983282 
Variance  96.92881192881276 
Overall Mood Statistics
Property  Value 

Variable Name  Overall Mood 
Aggregation Method  MEAN 
Analysis Performed At  20190825 
Duration of Action  24 hours 
Kurtosis  6.857106484477509 
Maximum Allowed Value  5 out of 5 
Mean  2.9061 out of 5 
Median  3 out of 5 
Minimum Allowed Value  1 out of 5 
Number of Changes  1276 
Number of Correlations  4589 
Number of Measurements  14190 
Onset Delay  0 seconds 
Standard Deviation  0.5210978398366957 
Unit  1 to 5 Rating 
UPC  767674073845 
Variable ID  1398 
Variance  0.2715429586824706 
Tracking Listerine Antiseptic Mouthwash
Record your Listerine Antiseptic Mouthwash daily in the reminder inbox or using the interactive web or mobile notifications.Tracking Overall Mood
Record your Overall Mood daily in the reminder inbox or using the interactive web or mobile notifications.

Principal Investigator  Mike Sinn