The Predictability of Synchronicity Experience: Results from a Survey of Jungian Analysts | Sacco | International Journal of Psychological Studies | CCSE

Fibonacci time patterns may predict future synchronistic events (SEs) by forecasting nonlinear dynamical interactions. This study examined if there were differences between observed distributions of Fibonacci time patterns matching SEs compared to expected distributions based on chance. An online survey link was e-mailed to a random sample of Jungian analysts drawn from membership lists of the International Association for Analytical Psychology (IAAP). Two experiments tested the hypothesis that Fibonacci algorithms would predict increased synchronicity matches compared to chance. The two Fibonacci algorithms studied were a golden section model (GSM) and harmonic model (HM). Participants reported a total of 41 synchronicities. Statistical analysis showed a significant difference (p < .001) between observed and expected frequencies of matches based on chance for the HM algorithm, and no significant difference in matches predicted by the GSM algorithm. Synchronicity dynamics were found to exhibit a horizon of predictability between ±34 and ±89 days. The article discusses, among other issues, what these findings might mean for theoretical explanations of synchronicity and clinical practice