RIPPLE
This thread documents how changes to Invisibility in Research and Data may affect other areas of Canadian civic life.
Share your knowledge: What happens downstream when this topic changes? What industries, communities, services, or systems feel the impact?
Guidelines:
- Describe indirect or non-obvious connections
- Explain the causal chain (A leads to B because...)
- Real-world examples strengthen your contribution
Comments are ranked by community votes. Well-supported causal relationships inform our simulation and planning tools.
Constitutional Divergence Analysis
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Perspectives
1
New Perspective
**SOURCE ATTRIBUTION**: According to Phys.org (emerging source, score: 65/100)...
**THE NEWS EVENT**: Australian researchers used a mythical army of genetically engineered raccoons to demonstrate that belief in conspiracy theories may be less common than previously thought.
**CAUSAL CHAIN**:
- The direct cause is the use of raccoons to simulate belief data, which exposed a hidden flaw in the previous method of counting conspiracy beliefs.
- The intermediate step is the realization that the previous method might have overlooked or undercounted belief in conspiracy theories.
- The timing is immediate, as the research was published and the flaw was exposed within a month of its announcement.
- This could lead to a reevaluation of how conspiracy beliefs are counted and potentially a more accurate representation of their prevalence in research.
**DOMAINS AFFECTED**:
- Research and Data: The method of counting conspiracy beliefs may need to be revised to ensure more accurate data.
- Inclusion and Equity: Understanding and accurately representing diverse beliefs can improve inclusivity and equity in research and data collection.
**EVIDENCE TYPE**: Official announcement (research study).
**UNCERTAINTY**:
- The use of genetically engineered raccoons to simulate belief data may be seen as a stretch, and the results need to be verified by other researchers.
- The potential impact on research and data collection could be significant, but it remains to be seen how other researchers will respond to this new method.