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[old scientist, pointing at some data] After decades of research, thousands of experiments, a massive amount of peer reviewing, we can finally confidently conclude...
[smug dude with a ridiculous hairstyle] Uh yeah, but this TikTok by PatriotEagle1776 says your research is wrong
I'd honestly expect the TikToker to be called SiegHeil1488 or something like that by this point.
The two usernames are essentially indistinguishable at this point.
That's his X
I wonder why they stopped dating, they looked like a perfect match to me.
I like how the French version is GauloisFier732 instead
What happened in 1488? I know I can consult Wikipedia, but I thought I'd just ask.
1488 is a white supremacist slogan, the first part consisting of the 14 words:
spoiler
We must secure the existence of our people and a future for white children
The second part, 88, is an abbreviation of HH (the 8th letter of the alphabet is H), which itself is also an abbreviation of Heil Hitler.
Ah, I see. Clearly, it's not a reference to the year. However, I wonder when they think the "pure ones" began?
karl marx
Did they account for X, Y, Z?
What about all my personal anecodotes!
OMG this was just a survey? HOW IN THE WORLD COULD YOU EVER TELL IF SOMEONE LIED!?
Researchers who already thought of all this and it's in the study: -_-
Tbf, research based on a survey is much less valuable than a double blind randomized study
You might need a larger sample, and sometimes a blind study is just not possible.
Even then, the error bars are usually huge. If we're talking about cigarette smoke causing lung cancer (which has a relative risk increase of 10,000%) then those error bars aren't an issue. But if you're surveying people for their diet over the past 30 years to connect to colon cancer and you gey a relative risk increase of ~5℅ then the whole thing should be thrown out because the error bars are more like +- 100%
Thus the larger sample, to get something statistically significant. Which might not be practical due to cost.
Some methods suck no matter how much data you throw at it.
The study I was referencing had thousands of people taking their survey and the data quality was terrible because that's what you get when asking people to recall what they ate over the past 20-30 years. Adding yet more people to the study won't clean up the data and would start adding enough cost that it'd be cheaper to do close observation studies of 100 people and woupd actually achieve usable results.
The general guidelines on epidemiological studies (which both of my examples are) is that you cannot draw conclusions from a relative risk increase less than 100%.
So please stop with the blanket statement of "more data means better results". It's not true, and it's the same claim that AI tech bros keep making to fleece gullible investors
More data does mean better results.
More data does mean better results.
So when I can't get a useful trendline on a graph of % of redheads born per number of bananas eaten by the mother, you're saying it's because I didn't collect enough data? Why didn't I think of that?
No trend is also a result, more data, more confidence.
Lol look at that sample size, only 1000 people
A lot of mass media is full of bullshit, and people showing skepticism, asking further questions, and wanting second opinions is generally a good, healthy response. Particularly in an era of Dr. Oz professional bullshit and blaring "Head On, Apply Directly To The Forehead!" style advertisements.
Researching versus vibe searching
I love how this gag has grown and adapted to the new era. Back when I was in college (late aughties), the joke in our social circle was to say something ridiculous, then say, "what? It's true. You're saying you don't trust eaglepatriot1776 dot blogspot dot com?
Its on geocities mate
Some people really think they have some secret knowledge that the experts didn't think about. When the experts are already 5-10 steps ahead of them.
5-10 steps ahead of them after they lapped them twice and going for a third. A lot of people just don't seem to understand how much time and passion scientist put into their research.
Moreso there's an underlying understanding that in the US the companies that can throw the most money around for research might not have the best of intentions.
That's overly simplistic.
A lot of the social media content itself claims "decades of research, thousands of studies, yadda yadda".
At some level - unless you're taking deep educated dives into the peer reviewed analysis of a highly technical field - you are relying on someone else for information.
That is, after all, why we go to professionals for advice to begin with. Doctors, lawyers, professional engineers - each of whom have their own (often imperfect) understanding of the field. Some who may even be outright cranks exploiting their credentials for personal gain. Some who may even have elevated platforms (Dr. Oz for instance) to sprew the misinformation far and wide.
They really aren't.
Try speaking to anyone with a chronic and incurable illness. Try speaking to countless women and PoC who were denied treatment at the ER. Try speaking to people who had their medications denied by pharmacist because they didn't 'look like they're in pain'.
Modern medicine is rife with systemic misogyny and racism. The privilege of being heard by your doctor isn't a universal experience. The rest of us are forced to choose between suffering and dying or educating ourselves and self-advocating.
I really don't like short-form media. Sure, these people have always existed, but this really promotes it. There's no room for lengthy explanations either in the video or outside of it in text form.
Say what you will about blogs or youtube, but at least people have text space to add citations and references.
Yeah it's scary how effective it is for propaganda
There’s no room for lengthy explanations either in the video or outside of it in text form.
Plenty of these videos come in serial, effectively delivering a 30 minute talk in 5 minute chunks.
I'll spot you that the engagement bait aspect of social media is awful. But it's not materially worse than low rent cable TV that blared their content, hoping to catch you while you were flipping through channels.
CNN vs PBS Frontline
It often takes time to get an accurate understanding of the situation.
This needs updating - it's all about whatever AI is dominating... ...this week.
(Or whatever Musk has done to Grok lately.)
Grok is this true?
Grok after his 13th brain surgery:
"Groan" - the sound of saliva slowly dripping on the floor for 30 seconds - "Heil Musk and thank you for coming to my TED talk"
As someone with a chronic incurable disability, I'm tired of abled bodied people deciding for us which of our experiences count as 'evidence' and which do not.
People have this perception of modern medicine as an infallible cure-all that isn't saddled with systemic discrimination and neglect of women and minorities.
It doesn't matter how effective a medication is for a certain condition or for off label use. The only thing that matters is that that clinical trials are worth the investment to pharmaceutical companies, and the people most worth investing into are those with money and the privilege of being heard by their doctors.
The rest of us can continue screaming into the void as our symptoms are dismissed and as we are treated like unreliable witnesses to our own bodies. 'Have you tried yoga?' 'You just need to lose weight.' 'Abdominal pain? It's just your period.' We are treated like we aren't trying our hardest to live with every symptom. And then when we find something that works, we are told that 'it's not covered by insurance' or 'there is no evidence that it works' or 'it's just placebo'. It's like nothing we feel in our body is true and everything we say is treated as a drugseeking lie.
Fuck the cherry picked 'evidence'. The system is broken and chronically ill people are left to suffer.
Green guy did his own research
Like the username would be PatriotEagle1776 instead of PatriotEagle1488.
Thousands of experiments? Many experiments can't even be reproduced once.
https://en.m.wikipedia.org/wiki/Replication_crisis
The art is knowing which science is built on thousands of experiments and which isn't.
You are correct about the replication problems, but this also varies heavily depending what scientific discipline you look at.
Also if you do science you may take the results oft another scientist (if they make sense and are peer revievewed) and build your next experiment on it, which may also work out and get peer reviewed.
So even with the replication problem science can work and build on thousands of experiments. But it would be better and needed that the experiments were reproducible.
Also let's acknowledge that just posting the Wikipedia of the replication crisis and saying that makes scientific theory development invalid is total bullshit.
First that this issue was brought up ~20 years go. Second that the advancement of meta science has remedied these issues a lot. Third that we are now far more open about science with organizations like OSF. Fourth that in the example of the comic these are usually arguments against highly replicated works like climate science not small niche areas of psychology the public doesn't interact with.
Also let’s acknowledge that just posting the Wikipedia of the replication crisis and saying that makes scientific theory development invalid is total bullshit.
Is that what they wrote, though? I challenge you to read more closely.
This is not a resolved problem. Blind Spots covers many recent & developing failures in medical science. The drive to "publish [novel findings] or perish" continues to be a problem in current research.
They posted the replication crisis and said that its an "art" to know which science is grounded in evidence and which is not.
You're right, its not solved. It's not really a problem than can exactly be fully solved and definitely not within the current structure of the journal system and the publish or perish of academia like you mentioned.
Your other post however is the nuance completely missing from what OP said which is that we do already have ways of rooting out consensus and empirical support through the hierarchy of evidence.
I pretty much agree with you, what I was annoyed about is the vague dismissal of what has been done to improve science. It's not an art to know what is good scientific work, it's still a science and evidence based policy and action is needed now more than ever.
That's a justification for hierarchies of evidence that place meta-analyses & systematic reviews near the top.