156 B. J. Dunne, R. D. Nelson, and R. G. Jahn

Transcription

1 Journal of Scientific Exploration. Vol.

2 56 B. J. Dunne, R. D. Nelson, and R. G. Jahn Two major protocol variations have been explored, one employing remote operators, the other, multiple operators. In the former, operators with well-established performance in local experiments attempt to influence the bin distributions from remote locations up to several thousand miles from the laboratory. Significant results

3 Random Mechanical Cascade 57 pins are disposed in a quincunx fashion, so that every descending shot strikes against a pin in each successive row. The cascade issuing from the funnel broadens as it descends, and,

4 58 B. J. Dunne, R. D. Nelson, and R. G. Jahn Fig.. Random Mechanical Cascade apparatus (RMC). A logbook is also maintained with the same indexing information, a photograph of each completed run distribution showing the bin totals displayed on the LED's, the bin totals registered by the computer, other summary information including total populations right and left of the center bin, a right-left ratio, the distribution mean and standard deviation, and any appropriate comments. The standard experimental protocol calls for the operator, seated on a couch about eight feet from the machine, to attempt to distort the distribution of balls to the right or higher numbered bins (RT), or to the left or lower numbered bins (LT), or to generate a baseline (BL). These intentions are interspersed in concomitant sets of three runs, each of which lasts about 2 minutes. The sequence of each tripolar set of runs may be chosen by the operator (volitional assignment), or may be defined by some pre-established recipe (instructed assignment). Each set must be completed in one session,

5 Random Mechanical Cascade

6 60 B. J. Dunne, R. D. Nelson, and R. G. Jahn ments, this paper is confined to tripolar protocols addressing the shift of the distribution mean. Given Statistical Treatment

7 Random Mechanical Cascade

8 62 B. J. Dunne, R. D. Nelson, and R. G. Jahn these tests

9 Random Mechanical Cascade 63 Fig. 3. RMC cumulative deviations: all data. cumulative deviation graphs that trace

10 64

11 Random Mechanical Cascade 65

12 66 B. J. Dunne, R. D. Nelson, and R. G. Jahn Fig. 5. RMC series t-score histograms: a) RT-LT; b) RT-BL; c) LT-BL. overall behavior of the run means, the RT-BL bin population differences appear quite randomly distributed, whereas a majority of the LT-BL and RT-LT differences

13 Fig. Random Mechanical Cascade 67

14 68 B.

15 RT-BL Random Mechanical Cascade 69

16 70 B. J. Dunne, R. D. Nelson, and R. G. Jahn clearly visible

17 Random Mechanical Cascade 7 distribution. Nine local series by seven co-operator pairs, along with two remote series

18 72 B. J. Dunne, R. D. Nelson, and R. G. Jahn RT-LT separation resides almost totally in the LT-BL disparity; the

19 Random Mechanical Cascade

20 74 B.

21 Random Mechanical Cascade 75 TABLE

22 76 B. J. Dunne, R. D, Nelson, and R. G. Jahn TABLE Opr All # Series Opr All # Series

23 Random Mechanical Cascade 77 TABLE 2B Remote, RT-BL Opr. # Series # Pairs BL Mean RT Mean RT-BL S.D. Diff All TABLE

24 78 B.

25 Random Mechanical Cascade TABLE 3C Multiple operators, RT-BL 79 Opr All # Series # Pairs BL Mean LT Mean LT-BL S.D. Diff LT-BL t-score Operators, remote, LT-BL LT-BL Prob. (.037) (.352).450 (.264) (.005).206 (.485) (.055) # Series p <.05 _ () () # Series p < (.305) 7 Operators, remote, LT-BL _ 2