Dreaming precognitively: A comparison with a non-dreaming condition and with human and artificial judges

  • Vincenzo Fancesco Scala (Author)
    AISM - Italy
  • Giorgio Cozzi (Author)
    AISM - Italy
  • Maria Luisa Castiglioni (Author)
    AISM - Italy
  • Maria Elena Finelli (Author)
    AISM - Italy
  • Livia Manzutto (Author)
    AISM - Italy
  • Paola Vitali (Author)
    AISM - Italy
  • Patrizio Tressoldi (Author)

Abstract

This study aimed to compare the precognitive results obtained during dreaming and non-dreaming conditions with a group of selected participants trained to recall their dreams in two separate experiments. In the first experiment, we used artificial judges; in the second experiment, we used human judges. The participants in this study were adults with extensive experience in remembering and recording their dreams. The task was to dream a randomly selected image, called the target, generated immediately after the research assistant received the dreams transcriptions from all participants. In both experiments, the percentages of the target correct identification in a dreaming condition were 28.6% and 31.4% above the expected statistical chance of 25%, as identified by artificial and human judges, respectively. On the contrary, the percentage in the non-dreaming condition was only of 13.8%, well below the expected probability of 25%.

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Published
2025-09-30
Language
en
Keywords
dreams, Symbolic information, precognition, Large-language models
How to Cite
Scala, V. F., Cozzi, G., Castiglioni, M. L., Finelli, M. E., Manzutto, L., Vitali, P., & Tressoldi, P. (2025). Dreaming precognitively: A comparison with a non-dreaming condition and with human and artificial judges. International Journal of Dream Research, 18(2), 326–328. https://doi.org/10.11588/ijodr.2025.2.112162