We can't experimentally change hormones in human fetuses (unethical) or continuously monitor in utero hormone exposure.
So, best case is cross-sectional study. Take a sample of amniotic fluid or umbilical cord blood, measure #hormones, and then later measure digit ratio.
Main evidence for this in humans is a 2004 paper (Lutchmaya et al), which reports a negative correlation between amniotic fluid testosterone-to-estrogen ratio & 2D:4D in those children at 2y of age. Sample size = 33 (combined ♂️+♀️)
Let's also consider multiple comparisons (which weren't corrected for).
1. Left & right hands
2.Males & females 3. Amniotic fluid & plasma
[4. Anything not reported???]
There's more nuance to this study, but you get the point - lots of comparisons w/ a few weak correlations.
A similar study came out in 2015.
Pretty impressive long-term analysis - they had umbilical cord blood samples from birth, and measured testosterone and estrogen, and then 19-22 years later measured 2D:4D digit ratio. WOW!
- "Digit ratio in early adulthood was not related to testosterone or #estradiol levels, or the testosterone to estradiol ratio"
- "Measures of total #androgen and estrogen bioactivity were not significantly associated with digit ratio"
While other above have done similar studies, the first true attempt to replicate Lutchmaya was done in 2021 (15+ years after!).
Details in the tweet below, but they couldn't replicate the effects.
"...amniotic T&E that did not find evidence for these effects at 4½-year follow-up... direction of correlations observed was generally erratic, & the overall findings question the premise that second-trimester sex hormones affect the development of digit length ratios in humans"
I can't possibly do a tweet involving the 1400+ digit ratio studies in humans, but hopefully, what I have shown so far is that the evidence that adult 2D:4D is related to fetal hormone exposure is unconvincing.
Lutchmaya's highly cited study is 33 subjects, & not replicable!
There's a bunch of papers about how critical it is to measure 2D:4D properly, the importance of calipers and multiple measurements, etc.
So, we should also trust diffs in self-measured digit ratio at 3 DECIMAL PLACE level?
Even the authors didn't account for this on y-axis!
From that same BBC internet study dataset, one of the leading digit ratio researchers claimed that 2D:4D was related to #COVID risk, and that it should be explored to see who should social distance vs. who should not.
Thankfully, somebody from WITHIN THE SAME UNIVERSITY wrote a letter to the editor stating that the link between digit ratio and #COVID19 was junk science!
Don't even get me started on the studies claiming that digit ratio is linked to athletic performance... let alone that coaches should be using it to select athletes for the team!
But, here's one of my favorites related to #sports performance. #running
In that study, they measured digit ratio and half-marathon completion time. Didn't consider #Training history (or even mention it).
And somehow from just that shotgun-blast figure, they connected a bunch of dots with evolution, persistence hunting, and reproductive fitness.
How the outliers in the scatterplot influenced the relationship (including potentially smaller sizes for people that fast, which influences 2D4D) is another story.
Google "Longman marathon sex" to see the absurd media headlines came from it.
"...under some circumstances yet to be identified, left-hand 2D:4D systematically out-predicts right-hand 2D:4D whereas the opposite is true under other circumstances."
My explanation? Most of the findings are random chance.
In my opinion, the weak biological justification for digit ratio, lack of preregistered research + statistical analysis protocols, flexible analyses (multiple comparisons, various covariates), and selective reporting means that a lot of the digit ratio lit is chance findings.
This is a phenomenon known as the file drawer effect.
The #Qcollar jugular compression device is "FDA CLEARED" to "protect athletes' brains during head impacts." @US_FDA
Does this mean that it is safe, effective, and based on sound science?
Not quite! Before you believe the company's big claims, read this full thread!
Below is an index to my fully-referenced thread:
2/ A bit about what FDA cleared really means 3/ Critique of the study that got Qcollar FDA cleared 4/ Summary of problems w/ their other studies 5/ Qcollar's continued pattern of false claims 6/ Their plan to profit from taxpayers
2a/
Some semantics, note this isn't "FDA APPROVED" but rather "AUTHORIZED".
QCollar isn't claiming "approval," but many confuse these terms and assume this more stringent standard.
APPROVAL is more appropriate for Class III devices, which undergo more rigorous review.
If you don't understand the highly nuanced #MRI technique known as DTI, these results sound straightforward and convincing.
THEY ARE NOT. Don't be fooled by these numbers!🤔
I will dissect these in the thread below.
3a/
"No significant changes" is based AVERAGE response, not individual.
First, an easy-to-understand analogy below.
If half the sample experiences an increase and half experiences a decrease, they can cancel each other out to falsely suggest "no change" when one does exists!
The #Qcollar is based on the idea that jugular compression increases blood in the brain to create a "bubble wrap" effect, which prevents the it from bouncing around inside the skull.
According to the company, this mechanism is found in Nature. bit.ly/2KqTJvS
Thread/2b
From the company's promotional video, the device is justified based on reducing brain "slosh" by:
1) Replicating the animal adaptations (see 18:00 in video) 3) Replicating effects of "higher altitude" exposure (see 21:57, again at 36:00)