> Fortunately, new information can change the way issues are framed, and that seems to be happening in the case of the problem of obesity. The longstanding American belief that obesity is the fault of the individual is being challenged by new weight-loss drugs that have become all the rage. These drugs are shifting the narrative about obesity from a willpower problem to a biological one.
that is all still true even without ever taking a weight loss drug. the impact reaches far beyond those injecting themselves. (watch those mass consumption stocks.) and for some, the fat won’t drop before the shame.
People who are labeled as experts and who talk the loudest in society aren’t always capable of independent critical thought, so a lot of what they say is useless.
Nothing is stopping you from independently investigating a subject. You don’t need to know about phylogenetic trees and be a bio wizard to understand how neurons work and learning how neurons work would take you a day or two max. Pick a narrow but not too narrow scope, research it and make your own conclusions. I don’t know why anyone would ever blindly follow “experts” other than sheer laziness
It is always good to be skeptical of people who talk the loudest, regardless of their role in society.
> learning how neurons work would take you a day or two max.
I seriously question your definition of expertise. Harvard offers a bachelor's degree focused entirely on neuroscience, with at least two separate exams focused only on neurons. And that is barely enough to understand current research in neuroscience, since it usually builds up on literature that is too recent for a bachelor's.
If you took your high school and college education even somewhat seriously, you would have already learned how an action potential travels through a neuron, and you’d have a good grasp of science fundamentals to read any research paper. I learned it in my high school biology class along with a host of other things. Also, who says your so called “experts” know those details either? I’ve met a physician (recent new grad) had no idea what mitosis was, something I’ve known since I was like 12 and I develop software for a living. We’re supposed to trust what these people say? Nah
Got it: neuroscientists don't know about action potentials, and high school education is enough to appraise any research paper.
Between one Jira issue and the next, try to read some actual neuroscience preprints and come up with a few reasons why that piece of research is good, and a few why it is bad.
Take this one [1], for example (Cerebrovascular disease drives Alzheimer plasma biomarker concentrations in adults with Down syndrome):
> Main Outcomes and Measures: We examined the bivariate relationships of WMH, Aβ42/Aβ40, p-tau217, and GFAP with age-residualized NfL across AD diagnostic groups.
Are these biomarkers specific enough? Did they miss any? Why did they limit the investigation to bivariate relationships?
> We [...] examined whether
1) GFAP mediates the relationship between WMH volume and p-tau217 concentration, 2)
whether p-tau217 concentration mediates the relationship between WMH volume and NfL
concentration, and 3) whether p-tau217 concentration mediates the relationship between GFAP
and NfL concentration.
Why did they test these three hypotheses? Did they miss anything interesting? Why did they choose that specific method for mediation analysis? What limitations does it have? Are there alternatives?
> Two specific percentile thresholds were computed: [...]. These thresholds initialized a Gaussian mixture model (GMM) and expectation-maximization algorithm within the white matter segment of the FLAIR images, using two components to represent hyperintense and non-hyperintense voxels.
What do you think of their method to quantify white matter hyper-intensity from the MRI scans? What percentiles did they use, and how sensitive is the analysis to these choices? Is a gaussian mixture model appropriate?
If you were a peer reviewer, would you think that this paper is ready to be published? What feedback would you give to the authors? What is the significance of these result, and what future research do they support?
Big words don't scare me. If I cared about research related to people with Down Syndrome, then I’d read it and understand it thoroughly, but I don’t. Critical thinking skills are largely innate, it doesn’t matter if you have a PhD or high school degree. Credentials say nothing about your intellectual curiosity or your motivation to learn new things
On the contrary, critical thinking can be developed, but it will not save you from ignorance. It takes much longer than two days of reading to be able to thoroughly understand research like the one above, I really suggest you give it a try.
Not sure why you started rambling about credentials now, but I broadly agree with your point. However, again, all I have been arguing since the beginning is that it takes a lot of time and effort to reach expertise in a topic. I really don't see what is so controversial about this. Or do you really think that an average person can learn software engineering and criticize your work in only two days?
For the typical reader of HN, phylogenetic trees would be far easier to figure out in a few days than how neurons work, especially as "how neurons work" isn't even established.
Yes, I'm sure you could know exactly how the well-studied synaptophysin, synaptobrevin, neuroligin and PSD95 cooperate to control neurons in a day or two. Particularly in the context of schizophrenia.
Easy as pie.
Edit: Here's a freely available relatively recent article on just one aspect of neurons, the synaptic proteome, which contains about 1,466 proteins [0].
I will check back in a few days once you've figured out how they all work together.
If I was interested in this paper, I would read it and understand it like I do with all the bio papers I read…all research papers do is narrow in on something highly specific, they aren’t hard to understand once you have the vocabulary down. It’s like reading someone else’s code. And I highly doubt your so called trusted “experts” like Fauci understand any of it
Understanding what a paper says is considerably easier that understanding its limitations. See the questions I asked in the sibling thread for a taste of the difference.
Or think in terms of code: it is easy to understand what some code does, but to understand why it is like that you need to know a lot more about the context surrounding the problem.
Honestly it’s not worth bothering with him. He’s fat and convinced it’s irreversible without medical intervention and is caused by his genetics. You can’t convince emotional thinkers with logic
All these anti-aging posts make me cringe. Face it, you’re going to die one day. You want to be healthier? Eat a healthy diet and exercise instead of looking for shortcuts
That’s anti-science. It’s well established you shouldn’t just “eat what you want,” at least when it comes to living a long/healthy life. Death is a compounding statistical phenomenon, not a discrete one.
Most nutrition science is bunk. We know you shouldn't consume too many calories. We know you need a certain minimum amount of micronutrients and essential amino acids. Nothing else really meets modern evidence based medicine criteria. If there are actual benefits from eating or avoiding certain foods then the effect sizes appear to be much smaller than other lifestyle factors like sleep, exercise, stress, and substance abuse.
As a practical matter a more productive approach is to (mostly) ignore the science and conduct informal n=1 experiments. Try adding or removing certain foods for a few months and see how that impacts your athletic performance and subjective well being.
It’s all science, reproducibility is a larger crisis within science at the moment not unique to nutrition. But even if it was (and it is) slightly higher in food science, the solution is not “eat whatever you want”, it’s more like that you should understand the fundamentals instead of overfitting to individual studies.
software development is not hard at all. the reason everyone thinks it is hard is that there are too many software developers and 99% of them should have picked a different profession
