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Studies / Telepathy / Open Data in Parapsychology: Introducing…

Parapsychology Goes Open: Data or Delusion?

Adrian RyanJournal of Parapsychology, 2018 Peer-Reviewed
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Can better data sharing improve paranormal research?

Imagine you're a scientist studying something controversial — say, whether people can sense things beyond normal perception. You conduct careful experiments, gather intriguing data, but then face a dilemma: how do you convince skeptics your work is legitimate? Adrian Ryan proposed a radical solution in 2018: make everything completely transparent. He introduced 'Psi Open Data' — a platform where parapsychology researchers could share their raw data, methods, and analyses for anyone to examine. It was like opening the lab doors wide and saying 'come see for yourself.'

Researchers propose new platform to make parapsychology data more transparent.

In 2018, parapsychology researcher Adrian Ryan recognized a problem plaguing his field: studies were often published without sharing the underlying data, making it difficult for other scientists to verify results or build upon previous work. This lack of transparency had long been a criticism leveled at parapsychology research by mainstream scientists.

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Transparency through open data sharing could be the key to making parapsychology research more credible and scientifically rigorous.

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Key Findings

  • Ryan's work resulted in the creation of a new platform designed to address transparency issues in parapsychology.
  • The initiative represents an attempt to bring the field closer to mainstream scientific standards for data sharing and reproducibility.

What Is This About?

Ryan didn't conduct a traditional experiment. Instead, he developed a theoretical framework and practical platform called 'Psi Open Data.' This initiative was designed to encourage parapsychology researchers to share their raw data, analysis methods, and research materials publicly. The goal was to create a centralized repository where scientists could upload their datasets and others could access them for independent analysis or replication attempts.

Methodology

Theoretical paper proposing a new open data platform for parapsychology research rather than conducting empirical research.

Outcomes

Introduction of a framework and platform designed to enhance scientific rigor through data sharing in parapsychology.

How Good Is the Evidence?

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The paper has been cited only 2 times since 2018, suggesting limited uptake of the initiative compared to major open science platforms in mainstream psychology which typically receive hundreds of citations.

Anecdotal5/100
AnecdotalPreliminarySolidStrongOverwhelming

Supporters argue that open data practices could finally give parapsychology the scientific credibility it needs by allowing independent verification of controversial findings. Skeptics worry that simply sharing data won't fix fundamental methodological problems in the field, and that resources might be better spent on improving experimental design. Some also question whether there's enough high-quality parapsychology data worth sharing in the first place.

↔ Interpretation Spectrum

Mainstream: Data sharing is good practice but won't legitimize a field with fundamental methodological issues. Moderate: Open data could help separate genuine anomalies from statistical artifacts in parapsychology research. Frontier: This initiative represents a crucial step toward establishing parapsychology as a rigorous science.

Common Misconception

This isn't a study proving or disproving psychic phenomena. It's a methodological proposal to improve how parapsychology research is conducted and shared, regardless of whether psi effects are real.

Convincing Checklist
2 of 5 criteria met
Met2/5
Large sample (N>100)
Peer-reviewed journal
Replicated
Significant effect
DOI available

To prove the value of open data in parapsychology, we'd need evidence that data sharing actually improves replication rates and helps identify genuine effects versus statistical flukes. This would require tracking studies before and after implementing open data practices. This particular paper only proposes the framework but doesn't test its effectiveness.

This paper introduces Psi Open Data, an initiative to promote open data practices in parapsychology research to improve transparency and reproducibility in the field.

Stance: Mixed

What Does It Mean?

A field often dismissed as 'pseudoscience' was proposing to become more transparent than many mainstream research areas. It's a bold gambit — either vindication through openness or exposure of flaws through scrutiny.

Think of this like creating a public library for research data. Just as you can check out books to verify information or build on existing knowledge, scientists could access raw data from paranormal studies to double-check findings or conduct new analyses.

If this approach succeeds in making parapsychology research more transparent and replicable, it could either strengthen evidence for psi phenomena or help identify where methodological improvements are needed. The model might also influence how other controversial fields handle their credibility challenges. Most importantly, it could help separate genuine anomalies from experimental artifacts through independent verification.

Wonder Score
3/5
Fascinating
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Science Literacy Tip

Theoretical papers can be just as important as experimental studies—they provide frameworks and tools that enable better research, even if they don't generate new data themselves.

Understanding Terms

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Open Data
The practice of making research data freely available for other scientists to examine, verify, and reanalyze
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Reproducibility
The ability for independent researchers to repeat a study and get the same results using the same methods

What This Study Claims

Methodology

A new platform called Psi Open Data has been developed for the parapsychology field

moderate

Interpretations

Open data practices can improve transparency in parapsychology research

weak

Enhanced reproducibility is needed in parapsychology research

weak

Limitations

Parapsychology research has historically lacked adequate data sharing practices

moderate

This summary is for general information about current research. It does not constitute medical advice. The scientific interpretation of these results is debated among researchers. If personally affected, please consult qualified professionals.