Charts
Trait Correlation Between Brain Performance Index From Lumosity BPI and Body Weight
Brain Performance Index From Lumosity BPI Charts
Daily Distribution
Average by Day of Week
Average by Month
Average by Year
Body Weight Charts
Daily Distribution
Average by Day of Week
Average by Month
Average by Year
Relationship Charts
Body Weight Following Brain Performance Index From Lumosity BPI
Correlation Between Brain Performance Index From Lumosity BPI and Body Weight by Duration of Action
Correlation Between Brain Performance Index From Lumosity BPI and Body Weight by Onset Delay
Average Brain Performance Index From Lumosity BPI Preceding Body Weight
Average Body Weight by Previous Brain Performance Index From Lumosity BPI
Abstract
Not Enough Shared Data
Please create a study and share it with your friends so we can collect enough data to determine the effect of Brain Performance Index From Lumosity BPI on Body Weight. Create a StudySolution: Create a Study
Please create a study and share it with your friends so we can collect enough data to determine the effect of Brain Performance Index From Lumosity BPI on Body Weight. Create a StudyBody Weight was generally 1% higher than average after an average of 630 index of Brain Performance Index From Lumosity BPI over the previous 24 hours.
Aggregated data from 2 study participants suggests with a HIGH degree of confidence (p=0.001, 95% CI 0.477 to 1.188) that Brain Performance Index From Lumosity BPI has a strongly positive predictive relationship (R=0.832) with Body Weight.
The highest quartile of Body Weight measurements were observed following an average 1 index Brain Performance Index From Lumosity BPI.
The lowest quartile of Body Weight measurements were observed following an average 929 index of Brain Performance Index From Lumosity BPI.
After an onset delay of 0 seconds, Body Weight is typically 1% lower than average over the 24 hours following around 929 index Brain Performance Index From Lumosity BPI.
Objective
Participant Instructions
Manual Recording Option
Create a reminder for Brain Performance Index From Lumosity BPI here
and record it daily by enabling notifications or using
the reminder inbox here
.
Automatic Import of Body Weight via Fitbit
Get Fitbit here
and use it to record your Body Weight. Then,
import your data here
.
Manual Recording Option
Create a reminder for Body Weight here
and record it daily by enabling notifications or using
the reminder inbox here
.
Automatic Import of Body Weight via Google Fit
Get Google Fit here
and use it to record your Body Weight. Then,
import your data here
.
Automatic Import of Body Weight via Withings
Get Withings here
and use it to record your Body Weight. Then,
import your data here
.
Design
This study is based on data donated by 2 participants. Thus, the study design is equivalent to the aggregation of 2 separate n=1 observational natural experiments.
Data Analysis
Brain Performance Index From Lumosity BPI Pre-Processing
Brain Performance Index From Lumosity BPI measurement values below 0 index were assumed erroneous and removed. No maximum allowed measurement value was defined for Brain Performance Index From Lumosity BPI. No missing data filling value was defined for Brain Performance Index From Lumosity BPI so any gaps in data were just not analyzed instead of assuming zero values for those times.
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.
Predictive Analytics
It was assumed that 0 seconds would pass before a change in Brain Performance Index From Lumosity BPI would produce an observable change in Body Weight.
It was assumed that Brain Performance Index From Lumosity BPI could produce an observable change in Body Weight for as much as 24 hours after the stimulus event.
Statistical Significance
Using a two-tailed t-test with alpha = 0.05, it was determined that the change in Body Weight is statistically significant at 95% confidence interval.
Data Sources
Brain Performance Index From Lumosity BPI 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.
Body Weight data was primarily collected using Fitbit. Fitbit makes activity tracking easy and automatic.
Limitations
The accuracy of this study may be limited by the fact that
Not Enough Shared Data
Please create a study and share it with your friends so we can collect enough data to determine the effect of Brain Performance Index From Lumosity BPI on Body Weight. Create a StudySolution: Create a Study
Please create a study and share it with your friends so we can collect enough data to determine the effect of Brain Performance Index From Lumosity BPI on Body Weight. Create a Study . 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.
Criteria For Causal Inference
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 strongly positive (R = 0.8324) relationship between Brain Performance Index From Lumosity BPI and Body Weight.
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. 71 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Brain Performance Index From Lumosity BPI 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,
0 humans feel that there is a plausible mechanism of action for a relationship between Brain Performance Index From Lumosity BPI and Body Weight.
0 humans feel that any relationship observed between Brain Performance Index From Lumosity BPI and Body Weight 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.
Plausibility
A plausible bio-chemical mechanism between cause and effect is critical. This is where human brains excel. Based on our responses so far, 0 humans feel that there is a plausible mechanism of action and 0 feel that any relationship observed between Brain Performance Index From Lumosity BPI and Body Weight is coincidental.
Relationship Statistics
| Property | Value |
|---|---|
| Cause Variable Name | Brain Performance Index From Lumosity BPI |
| Effect Variable Name | Body Weight |
| Sinn Predictive Coefficient | 0.075444262738485 |
| Confidence Level | HIGH |
| Confidence Interval | 0.35574081421578 |
| Forward Pearson Predictive Coefficient | 0.8324 |
| Critical T Value | 1.664 |
| Average Brain Performance Index From Lumosity BPI Over Previous 24 hours Before ABOVE Average Body Weight | 1 index |
| Average Brain Performance Index From Lumosity BPI Over Previous 24 hours Before BELOW Average Body Weight | 929 index |
| Duration of Action | 24 hours |
| Effect Size | strongly positive |
| Number of Paired Measurements | 71 |
| Optimal Pearson Product | 1.3565409646733 |
| P Value | 0.001 |
| Statistical Significance | 0.7351 |
| Strength of Relationship | 0.35574081421578 |
| Study Type | population |
| Analysis Performed At | 2021-08-30 |
| Number of Participants | 2 |
Brain Performance Index From Lumosity BPI Info
| Property | Value |
|---|---|
| Variable Name | Brain Performance Index From Lumosity BPI |
| Aggregation Method | MEAN |
| Analysis Performed At | 2020-09-15 |
| Duration of Action | 24 hours |
| Kurtosis | 3.3674757649788 |
| Mean | 1025.9089041096 index |
| Median | 1034 index |
| Minimum Allowed Value | 0 index |
| Number of Aggregate Predictors | 46 |
| Number of Aggregate Outcomes | 10 |
| Number of Measurements | 146 |
| Number of Measurements (including those generated by tagged, joined, or child variables) | 73 |
| Public | true |
| Onset Delay | 0 seconds |
| Standard Deviation | 125.24473302572 |
| Unit | Index |
| User Variables | 2 |
| UPC | 811213027247 |
| Variable Category | Cognitive Performance |
| Variable ID | 1274 |
| Variance | 15686.243150685 |
Body Weight Info
| Property | Value |
|---|---|
| Variable Name | Body Weight |
| Aggregation Method | MEAN |
| Analysis Performed At | 2020-09-23 |
| Duration of Action | 7 days |
| Kurtosis | 29.271534088526 |
| Maximum Allowed Value | 1000 pounds |
| Mean | 168.9619340574 pounds |
| Median | 168.27481272906 pounds |
| Minimum Allowed Value | 0 pounds |
| Number of Aggregate Predictors | 883 |
| Number of Aggregate Outcomes | 257 |
| Number of Measurements | 108822 |
| Number of Measurements (including those generated by tagged, joined, or child variables) | 21092 |
| Public | true |
| Onset Delay | 0 seconds |
| Standard Deviation | 8.7190661755282 |
| Unit | Pounds |
| User Variables | 417 |
| UPC | 875011003902 |
| Variable Category | Physique |
| Variable ID | 1486 |
| Variance | 594.35417755402 |