Top Tweets for #EvidenceKnowHow
#EvidenceKnowHow All tests give false positives. Giving the whole population full body scans would subject many to unnecessary extra testing and the psychological strain of being told they have a particular disease.
On such scales, screening can cause more harm than good.
Full-body scans to look for hidden disease are a bad idea – here’s why https://t.co/hRPlomt8g8
"If I had the money to spend on one of these, I’d spend it on a holiday, which would be far better for my health."
Reality: no evidence of benefit, possible harm (iartrogenic injury etc), & cost to patient & system.
via @ConversationUK
#EvidenceKnowHow With deepfakes becoming more common online, how can we be sure whether a video is true or not?
AI expert @RyanMorrisonJer explains how sound can be a big giveaway to manufactured content, and how to spot visual cues @Independent
https://t.co/zbl2jVF8SI
#EvidenceKnowHow Knowing how data was collected is crucial for understanding its limitations.
#EvidenceKnowHow Focusing too much on certainty can distract from the real issues
#EvidenceKnowHow Being clear about the outcomes we're interested in prevents misunderstandings
#Evidenceknowhow as popularised by the late Donald Rumsfeld.
A "significant finding"?
Personal significance = something you care about.
Statistical significance = research findings that are unlikely to be just chance.
Here's @d_spiegel with more. #EvidenceKnowHow
Golden Rice is considered safe for consumption, with the potential to save many lives.
Personal views aside, when it comes to regulatory decisions the best evidence should always be considered.
#EvidenceKnowHow
‘A catastrophe’: Greenpeace blocks planting of lifesaving golden rice https://t.co/2XeaJB9bpz
All the potential harms and benefits should be taken into account and weighed up when making health decisions.
Find out more about informed risk decision-making with our Risk know-how Framework #Riskknowhow #EvidenceKnowHow
https://t.co/upXty6p5VH
Proxies can be useful but should be used with caution. Markers of quality include:
- Explanation of how good an estimation the proxy is for the thing we really care about.
- A direct relationship between proxy and variable, without too many interfering factors.
#EvidenceKnowHow
"Just because you don't know everything doesn't mean you don't know anything" - @d_spiegel in his interview with Sam Knowles.
Researchers need to be "confidently uncertain", proclaiming their uncertainty to give people the full picture
#EvidenceKnowHow #MakingSenseofUncertainty
New screening methods may give more accurate tests, but we should always be mindful of weighing-up disease impact and treatment impact. It’s all about trade-offs! #EvidenceKnowHow
https://t.co/pkpYwZkuNQ
Links between chemicals and health effects can come in three categories:
1) Chemical causes effect
2) Chemical and effect may be related
3) Chemical was present when effect occurred
It's important to distinguish between these to prevent unnecessary panic #EvidenceKnowHow
Additives in ultra-processed food linked to type 2 diabetes.
Emulsifiers, which are often used to regulate texture and shelf life, are thought to disrupt the gut, a new study has suggested ⬇️
https://t.co/JrrH5cfa9n
Picking and choosing information can massively change the results. If we're not careful about our choices, the statistics may paint a distorted picture #EvidenceKnowHow
Some areas of science are more settled than others #EvidenceKnowHow #MakingSenseofUncertainty
https://t.co/mLWU8ajRjc
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