Overview

Julia Mossbridge has built a research career investigating anomalous cognition (particularly precognition and related psi phenomena) using both classical laboratory protocols and innovative digital platforms. Her work bridges neuroscience, parapsychology, and consciousness studies, with a methodological emphasis on controlling for expectation bias, managing multiple comparisons, and scaling experiments to large participant populations. She has published extensively on the physiological precognition phenomenon known as predictive anticipatory activity (PAA), on conscious precognitive remote viewing (PRV), and on the theoretical frameworks that might explain how information about future events can influence present physiology and behavior.

Mossbridge’s research is characterized by a commitment to rigorous experimental design and transparent reporting. She has worked to identify demographic and personality factors that correlate with psi performance, examined the role of emotional state in precognition accuracy, and explored environmental variables (such as lunar phase) that may modulate psi expression. Her approach combines pre-registered confirmatory analyses with exploratory investigations, and she has been vocal about the methodological pitfalls that have historically limited progress in parapsychology.

Life and career

Mossbridge’s early research background included work in auditory and visual neuroscience. She conducted studies on perceptual learning, auditory-visual synchrony processing, and the neural correlates of reading comprehension.⁸⁹¹⁰ This foundation in cognitive neuroscience and experimental methodology provided the technical expertise she later applied to parapsychology research.

Her transition to parapsychology was marked by a focus on predictive anticipatory activity. In 2012, she led a meta-analysis of PAA experiments from seven independent laboratories, synthesizing evidence that human physiology can apparently detect randomly delivered stimuli occurring 1–10 seconds in the future.¹¹ This work established PAA as a measurable phenomenon and identified key methodological challenges, particularly expectation bias and the problem of multiple comparisons. She expanded this analysis in a comprehensive 2014 review that examined the evidence for PAA, discussed potential neural mechanisms, and outlined practical applications.²

Beginning in the late 2010s, Mossbridge shifted toward investigating conscious precognition through precognitive remote viewing tasks. She designed and conducted two large-scale online experiments examining how demographic factors, emotional states, and target characteristics relate to PRV accuracy.¹ These studies involved hundreds of participants and thousands of trials, allowing her to characterize the relationship between emotional state (particularly feelings of unconditional love) and precognitive performance.

In 2017–2020, Mossbridge and collaborator Dean Radin developed smartphone-based applications to test psi phenomena at scale. The project gathered data from over 2,600 unique users contributing nearly one million trials across three tasks related to micro-psychokinesis and precognition.³ This work demonstrated that expectation-opposing effects (performance in the direction opposite to conscious intention) could be reliably detected in large, unselected populations and that gender and psi belief significantly modulated performance.

More recently, Mossbridge has examined environmental and contextual variables that may influence psi performance. She analyzed moon phase effects in online precognition data, finding that participants were significantly more likely to initiate trials during specific lunar phases and showed better accuracy during those phases.⁴ She has also investigated precognitive dreaming in a skilled lucid dreamer using pre-registered methodology and artificial intelligence-assisted scoring.⁵

Throughout her career, Mossbridge has contributed to theoretical discussions of precognition. She published a comprehensive review distinguishing two forms of precognition, unconscious presentiment with short lead times and conscious precognitive remote viewing with longer lead times, and proposed distinct mechanisms for each.⁶ She has also collaborated with theoretical physicist and consciousness researcher Imants Barušs on books examining the relationship between consciousness, psi, and transcendent experience.¹²¹³¹⁴

Research

Predictive Anticipatory Activity and Presentiment

Mossbridge’s foundational contribution to parapsychology was the 2012 meta-analysis of predictive anticipatory activity, which synthesized evidence from 26 experiments across seven laboratories showing that human physiology (measured through skin conductance, heart rate, and other autonomic markers) appears to respond to randomly selected emotional stimuli before they are presented.¹¹ PAA is defined as statistically reliable differences between physiological measures recorded seconds before an unpredictable emotional event versus seconds before a neutral event. The meta-analysis reported small but significant effect sizes, suggesting that the phenomenon is broadly distributed across unselected populations rather than limited to specially selected individuals.

In her 2014 critical analysis, Mossbridge examined two major methodological challenges that had historically plagued PAA research: expectation bias and multiple comparisons.² She argued that expectation bias, the tendency for experimenters or participants to unconsciously influence results in the direction of their expectations, could inflate effect sizes and that the field needed explicit strategies to control it. She and colleagues proposed a recommended approach for removing expectation bias in presentiment experiments.⁷

Precognitive Remote Viewing

Mossbridge’s work on conscious precognition has focused on precognitive remote viewing, in which participants attempt to describe or identify targets that will be randomly selected in the future. In two large online experiments, she examined how demographic variables (age, sex-at-birth, gender), emotional states (anxiety, unconditional love), and target characteristics (interestingness) relate to PRV accuracy.¹

The first experiment used a forced-choice format with 682 unpaid participants contributing 5,432 trials. Results showed no significant target precognition overall, but revealed a complex effect of sex-at-birth and a significant relationship between target interestingness and accuracy. The second experiment employed a free-response format with 307 paid participants, each contributing a single trial. This experiment yielded significant target precognition, and again found that targets judged as more interesting were more likely to be correctly identified. Notably, feelings of unconditional love and anxiety were both positively correlated with accuracy in the free-response task, suggesting that emotional engagement enhances precognitive performance.

Smartphone-Based Psi Testing

Between 2017 and 2020, Mossbridge and Radin developed three iOS-based applications designed to test psi phenomena in large, unselected populations. The project gathered data from more than 2,613 unique logins and 995,995 contributed trials.³ The applications tested precognition and micro-psychokinesis, with participants completing forced-choice tasks on their smartphones.

Analysis revealed significant expectation-opposing effects (performance in the direction opposite to participants’ conscious intentions) on all three tasks. A pre-registered confirmatory analysis confirmed a large expectation-opposing effect on one of the micro-psychokinesis tasks. Performance correlated significantly with psi belief on all three tasks, and gender differences emerged on two of the three tasks. The researchers noted that men and women appeared to use different strategies to perform the tasks, suggesting that psi performance is not a unitary phenomenon but varies with individual differences in approach and belief.

Environmental and Contextual Factors

Mossbridge has investigated whether environmental variables modulate psi performance. In an analysis of online precognition data spanning two years, she examined whether moon phase correlated with trial initiation and accuracy.⁴ Participants were significantly more likely to initiate trials during the last quarter/waning crescent phases and less likely during the full/waning gibbous phases. Importantly, during the moon phases when participants were more likely to choose to participate, they also performed better, suggesting a potential gravitational or geomagnetic influence on psi expression.

Precognitive Dreaming

Mossbridge has examined precognitive dreaming in a skilled lucid dreamer using pre-registered methodology and artificial intelligence-assisted scoring.⁵ The experiment involved ten trials in which the dreamer recorded lucid dream transcripts, which were then compared against randomly selected targets. The study employed three judging methods: pre-registered human judges, exploratory human judges, and an exploratory AI-assisted comparison method. This work contributes to the small but significant case-study literature on conscious precognition in individuals with unusual dreaming abilities.

Theoretical Framework

Mossbridge has synthesized the evidence for precognition into a theoretical framework distinguishing two forms: presentiment (mostly unconscious physiological precognition with short lead times of 1–10 seconds) and precognitive remote viewing (mostly conscious perceptual and cognitive precognition with longer lead times of minutes to hours).⁶ She proposed that these two forms may operate via distinct mechanisms, a physical-time-symmetry model for presentiment and a pervasive-universal-consciousness model for precognitive remote viewing, and outlined testable predictions for each.

Influence and reception

Mossbridge’s meta-analytic work on predictive anticipatory activity has become a foundational reference in parapsychology and consciousness studies. Her 2012 and 2014 papers are widely cited in reviews of precognition and presentiment, and her methodological critiques (particularly regarding expectation bias and multiple comparisons) have influenced experimental design in the field.

Her large-scale smartphone-based studies represent a methodological innovation in parapsychology, demonstrating that psi phenomena can be reliably detected in unselected populations using digital platforms. This approach has opened new avenues for gathering data at scale and examining individual differences in psi performance.

Mossbridge has also been active in scholarly discourse on precognition theory and interpretation. Her book reviews and theoretical papers engage with both empirical findings and broader questions about the nature of time, consciousness, and causality.¹⁵¹⁶ She has contributed to collaborative works on consciousness and transcendent experience, bringing a parapsychological perspective to interdisciplinary discussions.¹²¹⁴

Her work has been published in peer-reviewed journals including the Journal of Anomalous Experience and Cognition, the Journal of Scientific Exploration, Frontiers in Psychology, and the Journal of Parapsychology, indicating acceptance within both parapsychology and broader scientific communities. Her emphasis on methodological rigor, pre-registration, and transparent reporting has contributed to raising standards for experimental design in anomalous cognition research.