Geopsychology of instrumental aggression: daily concurrence of global terrorism and solar-geomagnetic activity (1970-2018)

Main Article Content

Bryce Mulligan
Stan

Abstract

Formal scientific study of the geopsychology of human aggression dates back at least a century and has consistently demonstrated a positive association between solar-geomagnetic activity and aggressive behaviour. Advances in the theories, methodologies, and practical applications of geopsychology could therefore contribute to collective efforts to comprehend, to forecast, and to develop interventions for aggressive behaviours such as those seen in terrorism. This requires a rigorous and precise estimate of the magnitude of association between solar-geomagnetic activity and aggression using a representative, contemporary sample of strictly-operationalized behaviour. Here we show that days in recent history (1970-2018) with the lowest levels of instrumental human aggression (number of casualty-associated terrorism incidents) also had the lowest levels of solar and geomagnetic activity, and that stepwise increases in human aggression were mirrored by progressive increases in solar activity. We used Bayesian methods robust to outliers and heterogeneity of variance to analyze the most comprehensive and contemporary global database of terrorism incidents available, which included more than 106,000 unique instances of instrumental aggression spanning 48 years. We conclude that there is a small, nonzero promotional effect of solar-geomagnetic activity on terrorism-related aggression. This may reflect the fact that solar-geomagnetic activity serves as a zeitgeber that coordinates the expression of instrumental aggression across an aggregation of susceptible individuals. We propose that many behaviours – even instrumental acts such as terrorism which are presumed to involve a degree of planning and intention – may be subject to subtle geopsychological induction or suppression.

Article Details

How to Cite
Mulligan, B., & Koren, S. (2021). Geopsychology of instrumental aggression: daily concurrence of global terrorism and solar-geomagnetic activity (1970-2018). Advances in Social Sciences Research Journal, 8(5), 487–499. https://doi.org/10.14738/assrj.85.10266
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Articles

References

REFERENCES

. Persinger, M. A., Geopsychology and geopsychopathology: mental processes and disorders associated with geochemical and geophysical factors, Experientia, 1987. 43(1): p. 92-104.

. Mulligan, B. P., et al., Geopsychology: geophysical matrix and human behaviour, Man and the Geosphere, 2010, New York: Nova Science Publishers. p. 115-141.

. Sakaguchi, K., et al., Simultaneous ground and satellite observations of an isolated proton arc at subauroral latitudes, Journal of Geophysical Research: Space Physics, 2007. 112(A4).

. Crooker, N. U., Feynman, J., and Gosling, J. T., On the high correlation between long-term averages of solar wind speed and geomagnetic activity, Journal of Geophysical Research, 1977. 82(13): p. 1933-1937.

. Byrne, A., Geographies of the romantic north: science, antiquarianism, and travel, 1790–1830. 2013, New York: Springer. 281.

. Tchijevsky, A. L., Physical factors of the historical process, Cycles, 1957. 8: p. 31-51.

. Breus, T. K., Vladimirskii, B. M., and Zelenyi, L. M., Unfinished Debates On the 120th anniversary of the birthday of AL Chizhevsky, Herald of the Russian Academy of Sciences, 2017. 87(6): p. 535-542.

. Persinger, M. A., Wars and increased solar-geomagnetic activity: aggression or change in intraspecies dominance?, Perceptual and motor skills, 1999. 88(3_suppl): p. 1351-1355.

. Vares, M. A. P. and Persinger, M. A., Correlations between a New Daily Global Indicator of Human Behavior, Threshold Seismicity, and Solar Activity: Congruence of Energy and Implications, Global Journal of Human-Social Science Research, 2015. 15(1).

. Glenn, A. L. and Raine, A., Psychopathy and instrumental aggression: Evolutionary, neurobiological, and legal perspectives, International journal of law and psychiatry, 2009. 32(4): p. 253-258.

. Blair, R. J. R., Neuroimaging of psychopathy and antisocial behavior: a targeted review, Current psychiatry reports, 2010. 12(1): p. 76-82.

. Breus, T. K., Binhi, V. N., and Petrukovich, A. A., Magnetic factor in solar-terrestrial relations and its impact on the human body: physical problems and prospects for research, Physics-Uspekhi, 2016. 59(5): p. 502.

. Krylov, V. V., Biological effects related to geomagnetic activity and possible mechanisms, Bioelectromagnetics, 2017. 38(7): p. 497-510.

. National Consortium for the Study of Terrorism and Responses to Terrorism (START), University of Maryland (2019) The Global Terrorism Database (GTD) [Data file]. https://www.start.umd.edu/gtd. Accessed 6 November 2020

. Kruschke, J. Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan. 2nd edition 2015, New York: Academic Press. 672.

. Joshi, P. T. and O'donnell, D. A., Consequences of child exposure to war and terrorism, Clinical child and family psychology review, 2003. 6(4): p. 275-292.

. Enders, W., Economic impact of terrorism. In W. Enders & T. Sandler (Eds.), The Political Economy of Terrorism. 2012, New York: Cambridge Univesrity Press. 288-316.

. De Cauwer, H., and Somville, F. J., Neurological disease in the aftermath of terrorism: A review, Acta Neurologica Belgica, 2018. 118(2): p. 193-199.

. Charlesworth, W., Profiling terrorists: A taxonomy of evolutionary, developmental and situational causes of a terrorist act, Defense & Security Analysis, 2003. 19(3): p. 241-264.

. Halberg, F., et al., Meta-Analytic History of Congruent Cycles in Space Weather, the Human Mind and Other Affairs, Natural Cataclysms and Global Problems of the Modern Civilization, 2011. p. 327.

. Global Terrorism Database (2020) Project Website FAQ. https://project-iris.app-staging.cloud/contact-team/

. Warnes, G. R., Bolker, B., and Lumley, T., gtools: various R programming tools. R package version 3.8.2, R Foundation for Statistical Computing, 2020. CRAN.R-project.org/package=gtools

. Matzka, J., et al., The geomagnetic Kp index and derived indices of geomagnetic activity, in preparation.

. Tapping, K. F., The 10.7 cm solar radio flux (F10. 7), Space Weather, 2013. 11(7): p. 394-406.

. R Core Team, R: A language and environment for statistical computing. R Foundation for Statistical Computing, 2020. https://www.R-project.org/

. Plummer, M., JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling, In Proceedings of the 3rd international workshop on distributed statistical computing, 2003. 124(125.10): p. 1-10.

. Denwood, M. J., runjags: An R package providing interface utilities, model templates, parallel computing methods and additional distributions for MCMC models in JAGS, Journal of statistical software, 2016. 71(1): p. 1-25.

. Grigoryev, P., et al., Heliogeophysical factors as possible triggers of suicide terroristic acts, Health, 2009. 1(4): p. 294-7.

. Parrish, J. K. and Edelstein-Keshet, L., Complexity, pattern, and evolutionary trade-offs in animal aggregation, Science, 1999. 284(5411): p. 99-101.

. Halberg, F., et al., Thirty-five-year climatic cycle in heliogeophysics, psychophysiology, military politics, and economics, Izvestiya, Atmospheric and Oceanic Physics, 2010. 46(7): p. 844-864.

. Cornelissen, G., et al., Congruent biospheric and solar-terrestrial cycles. Journal of Applied Biomedicine, 2011. 9(2): p. 63-102.

. Ozheredov, V. A., et al., Influence of geomagnetic activity and earth weather changes on heart rate and blood pressure in young and healthy population, International journal of biometeorology, 2017. 61(5): p. 921-929.

. Pesnell, W. D. and Schatten, K. H., An early prediction of the amplitude of Solar Cycle 25, Solar Physics, 2018. 293(7): p. 1-10.

. Sarp, V., et al., Prediction of solar cycle 25: a non-linear approach, Monthly Notices of the Royal Astronomical Society, 2018. 481(3): p. 2981-2985.

. McIntosh, S. W., et al., Overlapping magnetic activity cycles and the sunspot number: forecasting sunspot cycle 25 amplitude, Solar Physics, 2020. 295(12): p. 1-14.

. Maruyama, F., Kai, K., and Morimoto, H., Wavelet-based multifractal analysis on a time series of solar activity and PDO climate index, Advances in Space Research, 2017. 60(6): p. 1363-1372.

. Mulligan, B. P., et al., Magnetic field intensity/melatonin-molarity interactions: Experimental support with planarian (Dugesia sp.) activity for a resonance-like process, Open Journal of Biophysics, 2012. 2(4): p. 137-143.

. Foley, L. E., Gegear, R. J., and Reppert, S. M., Human cryptochrome exhibits light-dependent magnetosensitivity, Nature communications, 2011. 2(1): p. 1-3.

. Ikeya, N. and Woodward, J. R., Cellular autofluorescence is magnetic field sensitive, Proceedings of the National Academy of Sciences, 2021. 118(3).

. Johnsen, S. and Lohmann, K. J., The physics and neurobiology of magnetoreception, Nature Reviews Neuroscience, 2005. 6(9): p. 703-712.

. Wiltschko, R., et al., Magnetoreception in birds: the effect of radio-frequency fields, Journal of the Royal Society Interface, 2015. 12(103): p. 20141103.

. Granger, J., et al., Gray whales strand more often on days with increased levels of atmospheric radio-frequency noise, Current Biology, 2020. 30(4): p. R155-R156.

. Wang, C. X., et al., Transduction of the geomagnetic field as evidenced from alpha-band activity in the human brain, Eneuro, 2019.

. Rostoker, G., Geomagnetic indices, Reviews of Geophysics, 1972. 10(4): p. 935-950.

. Nava, B., et al., Middle- and low-latitude ionosphere response to 2015 St. Patrick's Day geomagnetic storm, Journal of Geophysical Research: Space Physics, 2016. 121(4): p. 3421-3438.

. Rajaram, M. and Mitra, S., Correlation between convulsive seizure and geomagnetic activity, Neuroscience Letters, 1981. 24(2): p. 187-191.

. St. Pierre, L. S. and Persinger, M. A., Geophysical variables and behavior: LXXXIV. Quantitative increases in group aggression in male epileptic rats during increases in geomagnetic activity, Perceptual and motor skills, 1998. 86: p. 1392-1394.

. St-Pierre, L. S., Persinger, M. A., and Koren, S. A., Experimental induction of intermale aggressive behavior in limbic epileptic rats by weak, complex magnetic fields: Implications for geomagnetic activity and the modern habitat?, International journal of neuroscience, 1998. 96(3-4): p. 149-159.

. Saroka, K. S., et al., Greater electroencephalographic coherence between left and right temporal lobe structures during increased geomagnetic activity, Neuroscience Letters, 2014. 560: p. 126-130.

. Persinger, M. A., St-Pierre, L. S., and Saroka, K. S., LORETA predicts electromagnetic sensitivity and “hearing voices” in a predictable, increasingly prevalent subpopulation: possible QEEG-based differential diagnosis, Neuropsychiatric Electrophysiology, 2015. 1(1): p. 1-9.

. Babayev, E. S. and Allahverdiyeva, A. A., Effects of geomagnetic activity variations on the physiological and psychological state of functionally healthy humans: some results of Azerbaijani studies, Advances in Space Research, 2007. 40(12): p. 1941-1951.

. Mulligan, B. P., Hunter, M. D., and Persinger, M. A., Effects of geomagnetic activity and atmospheric power variations on quantitative measures of brain activity: replication of the Azerbaijani studies, Advances in Space Research, 2010. 45(7): p. 940-948.

. Mulligan, B. P. and Persinger, M. A., Experimental simulation of the effects of sudden increases in geomagnetic activity upon quantitative measures of human brain activity: validation of correlational studies, Neuroscience Letters, 2012. 516(1): p. 54-56.

. Khorseva, N. I., Using psychophysiological indices to estimate the effect of cosmophysical factors, Atmospheric and Oceanic Physics, 2013. 49(8): p. 839-852.

. Pall, M. L., Wi-Fi is an important threat to human health, Environmental Research, 2018. 164: p. 405-416.

. Alabdulgader, A., et al., Long-term study of heart rate variability responses to changes in the solar and geomagnetic environment, Scientific reports, 2018. 8(1): p. 1-14.

. Roll, W. G., et al., Case report: A prototypical experience of ‘poltergeist’ activity, conspicuous quantitative electroencephalographic patterns, and sLORETA profiles–suggestions for intervention, Neurocase, 2012. 18(6): p. 527-536.