Effects of Mental Intention on a Device Sensitive to Entrainment
Paradigm Shift in Detection Methodology of Mental Intention
There is substantial statistical researched evidence and patent art [US 2013/0036078 A9; US 8,423,297 B2; US RE44,097 E; US 6,324,558 B1; US 6,763,364 B1; US 6,762,605 B2] that demonstrates the ability to detect the influence of mental intention on a physical device, using a randomly-
Data analysis: The unprocessed frequency data was processed from frequency to the time of the frequency. This transformation was used to obtain the number of frequency values required to obtain a period from 10 milliseconds to 200 milliseconds in 10 millisecond increments. 300 seconds where parsed using each time frame resulting in an N values between N=30,000 to and N=5. These periods where used to parse the frequency data to calculate the following:
The 2nd derivative of each period from 10 milliseconds to 200 milliseconds in 10 millisecond-
The bias of the 2nd derivative separated into three histogram bins. The range of the derivative bias was calculated to determine the percent of values allocated to each of three bins. The bins contain 36% of the lowest and highest bias values while the central bin contain 28% of the values. This provides the greatest mean discrimination between the three bins.
The running statistical mode
The mean of each processed value for each time frame was calculated. Processing of the 2nd derivative, the derivative bias and the statistical mode’s frequency produced 2700 values each; from 34 participants with 4 trials each (one no intend and 3 intention trials), and 20 discrete analysis time frames from 10 to 200 milliseconds in 10 millisecond-
There was a statistically significant difference in the 2nd derivative processing at a p = 0.000 between the non-
There was a statistically significant difference in the 2nd derivative bias processing at a p = 0.013 between the non-
There was a statistically significant difference in the statistical mode’s frequency processing at a p = 0.036 between the non-
There is a statistical difference between intention and no intention trials, both in the derivative, derivative bias and frequency shift of the statistical mode of the raw frequency data. The statistical results support the premise that humans can actively influence a randomly generated signal. This study supports the foundational theory that humans actively entrain a devise that is already sensitive to entrainment influence. It is apparent from the derivative statistical evidence that humans organize a random signal by increasing its coherence; creating greater consistency in the signal’s rate of change. It is further apparent that humans create a frequency shift when influencing a random signal.
There is strong statistical evidence that human intention affects the present device using its entrained signal and rate of change and frequency shift processing.