Related Experiment Video
Updated: Jan 27, 2026

Author Spotlight: Integrating 2D-HPLC-MS and Molecular Networking in Natural Medicine Analysis
Published on: December 8, 2023
Causation as Strategy: Interpreting Humours among Tibetan Refugees
Abstract:
The article focuses on the incidence of humoural wind ( rlung ) disorders among Tibetan exiles in India. It investigates the reasons behind the emergence of rlung as a significant problem among Tibetan exiles, and seeks to unpack some of the local meanings of this 'epidemic'. Previous studies have generally described rlung disorders as symptomatic of political and moral concerns, highlighting the connections that Tibetans make between physical, moral and psychological states in the context of Buddhist practice and everyday life. This paper aims to further nuance these findings by showing that, while Tibetan exiles include complex causes linked to morality and psychosocial wellbeing in their explanations of rlung disorders, they also 'cut' into this explanatory network in strategic ways, sometimes bypassing religious or psychosocial interpretations of illness altogether. Drawing on this analysis, the article warns researchers against literal readings of general religious precepts when analysing people's everyday negotiations of illness and wellbeing: the attribution of causation is always strategic, and religious observance should never be assumed to be uniform, or taken as a given.
More Related Videos
09:24Standardized Identification of Compound Structure in Tibetan Medicine Using Ion Trap Mass Spectrometry and Multiple-Stage Fragmentation Analysis
Published on: March 17, 2023
08:22A Novel Strategy Combining Array-CGH, Whole-exome Sequencing and In Utero Electroporation in Rodents to Identify Causative Genes for Brain Malformations
Published on: December 1, 2017
Related Concept Videos
Mass Spectrum: Interpretation
Correlation and Causation
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Interpreting R Charts
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
Interpreting Run Charts
Interpretation of Confidence Intervals
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
Interpreting X̄ Charts
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line...