Quantum Measurement as Pragmatic Information Transfer
Observer Effects on (S)objective Reality Formation
Keywords:Pragmatic information, quantum observation, duality, micro-PK, quantum random number generator, intentional creation
AbstractObjective . In the research presented here, quantum measurement is conceptualized as pragmatic information transfer when an intentional observer perceives motive-relevant quantum-based outcomes. Owing to the nature of pragmatic information as described in Lucadou’s Model of Pragmatic Information, this information transfer causes an observer-dependent intentional co-formation of reality and can only be scientifically documented under reduced objectivity conditions. The effects thus reflect a “sobjective” reality that occupies the space between subjectivity and objectivity. The present study was designed to find evidence for the existence of this sobjective reality. Method. A pre-registered micro-psychokinesis task involving a quantum random number generator assessed the impact of intentional observation on quantum-based stochastic outcomes under experimental variations of the applied measures’ objectivity. Results. As predicted, an intentionally congruent bias in quantum-based outcomes was observed using subjective memory data from the observations when additional objective computer-stored data were not inspected and finally erased (i.e., objectivity was reduced). Quantum randomness was confirmed in a maximum objective data collection context for both stored and memory data. Conclusion. The results indicate that pragmatic information was transferred during trial observation when scientific objectivity was reduced. The evidence for intentionally based reality formation or quantum-based random reality emergence was thus shown to be a function of the measurements’ objectivity levels. The data suggest the existence of a sobjective reality and that a physicalist/materialist or an intentional creation worldview depends on the presence of an intentional agent and the definition of the measurement process.
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Copyright (c) 2022 Markus Maier, Moritz Dechamps, Thomas Rabeyron
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