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#107 - Science and Marketing (Assess Quality in 3 steps)
Manage episode 302297507 series 2122669
The goal for the episode is to help people be a better critical thinker. Help sort out data, look at both sides and infer your own opinions.
We give examples of quality scientific research resources; Pubmed, Research Gate, Google scholar are the big 3.
We discuss the following;
- Correlation vs causation
- Start with 1930 to 1950’s; Cigarettes advised; https://rarehistoricalphotos.com/doctors-smoking-cigarette-1930-1950/
- Metabolism; https://www.nytimes.com/2021/08/12/health/metabolism-weight-aging.html
- Aging and caloric restriction; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514430/
- How-to do a quick analysis of a research article in 3 main categories
1. Data (sample size and strength of findings)
- Empirical vs analytical (meta study vs 1 study)
- Epidemiological study vs not
2. Funding (ex. Game changers - James Cameron backed by Pea Protein)
3. Confounding variables - limits to research, what future research needs to confirm findings before facts
For more training resources including blogs and videos, visit www.Thinkfitnesslife.com
--- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app149 episoder
Manage episode 302297507 series 2122669
The goal for the episode is to help people be a better critical thinker. Help sort out data, look at both sides and infer your own opinions.
We give examples of quality scientific research resources; Pubmed, Research Gate, Google scholar are the big 3.
We discuss the following;
- Correlation vs causation
- Start with 1930 to 1950’s; Cigarettes advised; https://rarehistoricalphotos.com/doctors-smoking-cigarette-1930-1950/
- Metabolism; https://www.nytimes.com/2021/08/12/health/metabolism-weight-aging.html
- Aging and caloric restriction; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514430/
- How-to do a quick analysis of a research article in 3 main categories
1. Data (sample size and strength of findings)
- Empirical vs analytical (meta study vs 1 study)
- Epidemiological study vs not
2. Funding (ex. Game changers - James Cameron backed by Pea Protein)
3. Confounding variables - limits to research, what future research needs to confirm findings before facts
For more training resources including blogs and videos, visit www.Thinkfitnesslife.com
--- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app149 episoder
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