Journal of Social Sciences and Humanities
Articles Information
Journal of Social Sciences and Humanities, Vol.1, No.5, Nov. 2015, Pub. Date: Nov. 19, 2015
"Investigating the Nature of Intangible Brain-Machine Interaction "
Pages: 499-508 Views: 1062 Downloads: 333
[01] Fotini Pallikari, Solid State Physics Depatment, Faculty of Physics, National and Kapodistrian University of Athens, Athens, Greece.
The hypothesis that direct human intention can modulate the concurrent outcomes of a stochastic process has been under test for over 30 years, surrounded by inconclusive evidence and a great amount of ambiguity. An increased interest has recently and prematurely risen concerning possible scientific applications of such effects. The amassed information around the purported phenomena, as presented in a meta-analysis [1], is thoroughly re-examined here through the application of several recognised mathematical tools. It is shown that there exists no validation of the hypothesis of brain-machine interaction precisely in absence of interface devices. It is concluded that any evidence in favour of the alleged intangible brain-machine effects, must have resulted from unintended errors during data collection and treatment, known as “the experimenter expectancy effect”.
"Random Number Generators, Mental Process, Markov Process, Meta-Analysis, Rescaled Range Analysis, Experimenter Expectancy Effect "
[01] Bösch H., Steinkamp F., Boller E. Examining psychokinesis: The interaction of human intention with random number generators—A meta-analysis. Psychological Bulletin. 2006; 132(4): 497-523.
[02] Jahn, R. G., Mischo, J., Vaitl, D., Dunne, B. J., Bradish, G. J., Dobyns,Y. H., et al. Mind/machine interaction consortium: PortREG replication experiments. Journal of Scientific Exploration, 2000; 14: 499–555.
[03] Medina, L.E., Lebedev, M.A., O'Doherty, J.E., Nicolelis, M.A. Stochastic facilitation of artificial tactile sensation in primates, J. Neurosciences. 2012; 32: 14271-14275.
[04] Serruya, M.D., Hatsopoulos, N. G., Paninski, L., Fellows, M. R., Donoghue, J. P. Brain-machine interface: Instant neural control of a movement signal, Nature. 2002; 416: 141-142.
[05] Radin D., Michel L., Galdamez K., Wendland P., Rickenbach R., Delorme A. Consciousness and the double-slit interference pattern: Six experiments. Physics Essays, 2012; 25(2): 157-171.
[06] Pallikari F. On the question of wavefunction collapse in a double-slit diffraction experiment. arXiv: 1210.0432 [quant-ph]; 2012.
[07] Radin D., Michel L., Johnston J., Delorme A. Psychophysical interactions with a double-slit interference pattern. Physics Essays, 26, 2013; 26(4): 553-566.
[08] Higgins J.P.T., Green S. (editors). Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0. The Cochrane Collaboration, 2011.
[09] Spiegel, R. M. Theory and Problems of Statistics. Schaum Publishing Co. (New York), 1961.
[10] Scargle, J. D. Publication bias: The file-drawer problem in scientific inference. Journal of Scientific Exploration. 2000; 14 (1): 91-106.
[11] Papasimakis N., Pallikari F. Markov memory in multifractal natural processes. Complexus Mundi. Emergent Patterns in Nature. World Scientific Publishing Co. Pte. Ltd. (London), 2006.
[12] Pallikari F. Purported evidence and feasible interpretations of retrocausation. Frontiers of Time: Retrocausation-Experiment and Theory. AIP Conference Proceedings. 2006; 863:316-326.
[13] Pallikari F., Papasimakis N. Markovian memory embedded in two-state natural processes. arXiv: 0801.3053v2 [stat. AP]; 2008.
[14] Von Mises R. Mathematical theory of probability and statistics. Academic Press (New York), 1964.
[15] Schroeder M. Fractals, chaos, power laws. Minutes from infinite paradise. Freeman and Co (New York) 1991.
[16] Pallikari F., Boller E. A Rescaled range analysis of random events, J. Scientific Exploration. 1999; 13(1): 25-40.
[17] Hurst H. E. Long-term storage capacity of reservoirs. Trans. Am. Soc. Civ. Eng. 1951; 116:770-779.
[18] Mandelbrot B.B., Van Ness, J. W. Fractional Brownian motions, fractional noises and applications. SIAM Rev. 1968; 10(4): 422-437.
[19] Mandelbrot B.B. The Fractal Geometry of Nature. Freeman and Co. (New York), 1982.
[20] Feder J. Fractals. Plenum Press (New York-London), 1988.
[21] Pallikari F. A Study of the fractal character in electronic noise processes, Chaos, Solitons & Fractals. 2001; 12:1499-1507.
[23] Geyer, C. J. Introduction to MCMC. In Handbook of Markov Chain Monte Carlo. Edited by Brooks, S. P., Gelman, A. E., Jones, G. L., Meng, X. L. Chapman & Hall/CRC (Boca Raton), 2011.
[24] Varotsos P., Sarlis N., Skordas E. Attempt to distinguish electric signals of a dichotomous nature, Physical Review E. 2003;68;68;031106(7). The computer program generating the Markovian bit sequences at p=0,83 was published in this work.
[25] Rosenthal R. Experimenter expectancy effect. In the SAGE Encyclopedia of Social Science Research Methods. Eds. Michael S. Lewis-Beck & Alan Bryman & Tim Futing Liao, 2004. DOI:
[26] Bakker, M., Wicherts, J. M. Τhe (mis)reporting of statistical results in psychology journals. Behav. Res. 2011; 43: 666–68.
[27] Pallikari F. Must the magic of psychokinesis hinder precise scientific measurement? J. Consciusness Studies. 2003; 10: 199-219.
[28] Aarts A. A. et al (2015). Estimating reproducibility of psychological science. Open Science Collaboration. Science. 2015; 349: aac4716. DOI: 10.1126/science.aac4716.
[29] Ioannidis J. P. A., Allison D. B., Ball C. A., Coulibaly I., Cui X., Culhane A. C., Falchi M., Furlanello C., Game L., Jurman G., Mangion J., Mehta T., Nitzberg M., Page G. P., Petretto E., Noort V. v. Repeatability of published microarray gene expression analyses, Nature Genet. 2009; 41:149–155.
[30] Begley C. G., Ellis L. M. Drug development: Raise standards for preclinical cancer research. Nature. 2012; 483: 531–533.
[31] Matzke, D., Nieuwenhuis, S., van Rijn, H., Slagter, H. A, van der Molen, M. W, Wagenmakers, E.-J. The effect of horizontal eye movements on free recall: A preregistered adversarial collaboration. Journal of Experimental Psychology, General. 2015; 144: e1-e15.
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