Why Most Research Findings About Psi Are False: The Replicability Crisis, the Psi Paradox and the Myth of Sisyphus

A landscape of consciousness: Toward a taxonomy of explanations and implications

Diverse explanations or theories of consciousness are arrayed on a roughly physicalist-to-nonphysicalist landscape of essences and mechanisms. Categories: Materialism Theories (philosophical, neurobiological, electromagnetic field, computational and informational, homeostatic and affective, embodied and enactive, relational, representational, language, phylogenetic evolution); Non-Reductive Physicalism; Quantum Theories; Integrated Information Theory; Panpsychisms; Monisms; Dualisms; Idealisms; Anomalous and Altered States Theories; Challenge Theories. There are many subcategories, especially for Materialism Theories. Each explanation is self-described by its adherents, critique is minimal and only for clarification, and there is no attempt to adjudicate among theories. The implications of consciousness explanations or theories are assessed with respect to four questions: meaning/purpose/value (if any); AI consciousness; virtual immortality; and survival beyond death. A Landscape of Consciousness, I suggest, offers perspective.

Follow-up on the U.S. Central Intelligence Agency's (CIA) remote viewing experiments☆

OBJECTIVES

Since 1972, the U.S. Central Intelligence Agency (CIA) commissioned several research programs on remote viewing (RV) that were progressively declassified from 1995 to 2003. The main objectives of this research were to statistically replicate the original findings and address the question: What are the underlying cognitive mechanisms involved in RV? The research focused on emotional intelligence (EI) theory and intuitive information processing as possible hypothetical mechanisms.

METHODS

We used a quasi-experimental design with new statistical control techniques based on structural equation modeling, analysis of invariance, and forced-choice experiments to accurately objectify results. We measured emotional intelligence with the Mayer-Salovey-Caruso Emotional Intelligence Test. A total of 347 participants who were nonbelievers in psychic experiences completed an RV experiment using targets based on location coordinates. A total of 287 participants reported beliefs in psychic experiences and completed another RV experiment using targets based on images of places. Moreover, we divided the total sample into further subsamples for the purpose of replicating the findings and also used different thresholds on standard deviations to test for variation in effect sizes. The hit rates on the psi-RV task were contrasted with the estimated chance.

RESULTS

The results of our first group analysis were nonsignificant, but the analysis applied to the second group produced significant RV-related effects corresponding to the positive influence of EI (i.e., hits in the RV experiments were 19.5% predicted from EI) with small to moderate effect sizes (between 0. 457 and 0.853).

CONCLUSIONS

These findings have profound implications for a new hypothesis of anomalous cognitions relative to RV protocols. Emotions perceived during RV sessions may play an important role in the production of anomalous cognitions. We propose the Production-Identification-Comprehension (PIC) emotional model as a function of behavior that could enhance VR test success.

'Feeling' or 'sensing' the future? Testing for anomalous cognitions in clinical versus healthy populations

In the study and treatment of psychosis, emotional intelligence (EI) and thinking styles are important patient characteristics for successful outcomes in clinical intervention. Anticipation of unpredictable stimuli (AUS) may be understood as an anomalous perception and anomalous cognition in which an individual supposedly senses and recognizes future stimuli in an unexpected way, also referred to as “hunches or premonitions.” This examined the roles of EI and thinking styles in AUSs in convenience samples of healthy participants (n = 237) versus patients diagnosed with psychosis (n = 118). We adjusted several quadratic and exponential regression models according to the obtained functions. Group means were also compared to examine differences in EI scores for participants with psychosis compared to healthy participants. In the healthy group, EI predicted AUSs with a weight between 42% and 58%. Thinking styles were not correlated with AUSs. However, EI was not correlated with AUSs in the clinical group. Patients with psychosis tended to score higher on AUSs and lower on EI and thinking styles compared to participants in the healthy group. We discuss EI as a variable that can contextualize some anomalous perceptions which are otherwise difficult to classify or measure within the classic psychosis continuum model.