ReviewJournal of ethnobiology and ethnomedicine2013
Common sense: folk wisdom that ethnobiological and ethnomedical research cannot afford to ignore.
Review in Journal of ethnobiology and ethnomedicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Synodic lunar phases and suicide: based on 2605 suicides over 23 years, a full moon peak is apparent in premenopausal women from northern Finland.Molecular psychiatry · 2021Article
- Entomotherapy: a study of medicinal insects of seven ethnic groups in Nagaland, North-East India.Journal of ethnobiology and ethnomedicine · 2021Article
- Tangsa and Wancho of North-East India Use Animals not only as Food and Medicine but also as Additional Cultural Attributes.Foods (Basel, Switzerland) · 2020Article
- Traditional knowledge of invertebrates used for medicine and magical-religious purposes by traditional healers and indigenous populations in the Plateau Department, Republic of Benin.Journal of ethnobiology and ethnomedicine · 2019Article
- Therapeutic arthropods and other, largely terrestrial, folk-medicinally important invertebrates: a comparative survey and review.Journal of ethnobiology and ethnomedicine · 2017Review
- Engaging indigenous and academic knowledge on bees in the Amazon: implications for environmental management and transdisciplinary research.Journal of ethnobiology and ethnomedicine · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Common sense [CS], especially that of the non-scientist, can have predictive power to identify promising research avenues, as humans anywhere on Earth have always looked for causal links to understand, shape and control the world around them. CS is based on the experience of many individuals and is thus believed to hold some truths. Outcomes predicted by CS are compatible with observations made by whole populations and have survived tests conducted by a plethora of non-scientists. To explore our claim, we provide 4 examples of empirical insights (relevant to probably all ethnic groups on Earth) into causal phenomena predicted by CS: (i) "humans must have a sense of time", (ii) "at extreme latitudes, more people have the winter blues", (iii) "sleep is a cure for many ills" and (iv) "social networks affect health and disease". While CS is fallible, it should not be ignored by science - however improbable or self-evident the causal relationships predicted by CS may appear to be.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.