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My wife isn't an astronaut, but she's more efficient than me by a long shot.
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The article is referring to metabolic efficiency:

female astronauts have lower water requirements for hydration, total energy expenditure, oxygen (O2) consumption, carbon dioxide (CO2) and metabolic heat production during space exploration missions compared to their male counterparts.

Unfortunately, I have to take this with a grain of salt, because this study wouldn’t have been published if it had found the opposite. Could there be opposite-conclusion studies that were quashed?

If a topic allows only affirmative results in one direction, those same results become statistically impossible to evaluate.

Replication also becomes pointless.
> because this study wouldn’t have been published if it had found the opposite

Not sure that is true (could be but..) I vaguely remember reading about runners - the details are very fuzzy after that, but I think if you look in this direction you will find what you are looking for.

I think it was sprinters, about how both would be equally as fast at the start due to -physics of some sort- but the difference in oxygen usage makes the female fall off faster. Or maybe it was endurance runner, kinda wish I payed attention more, but it was definitely about runners & oxygen usage.

Female ultra runners are the only class runner that regularly beat men in absolute terms. I seem to fuzzily recall a study that pinned it to VO2 efficiency and metabolic efficiency.
I’m not sure where this notion came from, but it is not true. You can page through all the Ultras and see that the top 3 finishers are, more often than not, men. Women are more competitive vs men compared to other sporting events, and occasionally women crack the top 3, but it’s not that common.

https://ultrarunning.com/calendar/race-results

Thanks for the correction. I guess I inflated the margin of difference versus the other events.
Do you have scientific evidence for bias, or is this just normal culture-war rhetoric?
I don’t know of anyone who contests the existence of publication bias / desk drawer bias - https://en.wikipedia.org/wiki/Publication_bias

The solution - to the extent one exists - is pre registration. I see no evidence that this study was pre registered and thus the usual assumption that it has no meaningful protection from publication bias applies.

Here’s one of the very well known reports of potential impact in a well studied area (fda approval): https://www.nejm.org/doi/full/10.1056/nejmsa065779

I don't think you need to be a "culture warrior" to realize that the headline "Study finds male astronauts more efficient, suggesting future space missions with all-male crews" would be considerably more controversial, and any author with half a brain would think carefully before publishing it.

Glancing at the paper the basics sound about right to me, but since the exact opposite conclusion would be far less tolerable and less likely to be authored and published, one can't help wonder what factors weren't considered for example.

If this happens to align with "culture-war rhetoric" from people I have no control over or relationship with so be it.

I've learned that I have many biases and ideas that aren't grounded in reality, even though I really thought they were, but data couldn't support them. Since then I've tried to confront more and more of my knowledge in the same way.

What you wrote might feel correct to you, but have you seen scientific research towards it? If you go by what you feel is right, how do you know you're not being manipulated? Seems like a perfect topic to divide people.

It's a mistake to equate "scientific research" with "the truth" or "reality". Aside from some fundamental questions on what "scientific research" exactly is, it should be pretty obvious that "someone published a paper somewhere" is not really worth much of anything on its own; you can find published papers on all sorts of topics that are clearly nonsense.

The further you move away from the hard sciences the harder it becomes to prove anything. Math, physics, and biology tends to be fairly easy as these things go; in medicine it already become significantly more murky, and with social sciences it's very hard indeed. I'm not saying there isn't a lot of valuable stuff in the social sciences, because there is, but "I will only accept what is scientificality proven" is a seriously limited view of things.

> It's a mistake to equate "scientific research" with "the truth" or "reality". Aside from some fundamental questions on what "scientific research" exactly is, it should be pretty obvious that "someone published a paper somewhere" is not really worth much of anything on its own; you can find published papers on all sorts of topics that are clearly nonsense.

And yet it's an even bigger mistake to discount the idea of knowledge gain through the scientific process. Remember, we're not talking about two separate attempts to gain knowledge - we have one systematic but flawed attempt, whereas the opposite is simply not trying at all.

Just because you cannot exactly determine the mass of "bias in scientific publishing" doesn't mean you can't try to systematically study it, to find objective metrics by which you determine some order on some scale.

Just think about this from the other perspective. Is there any piece of knowledge you have that is fundamentally impossible to study scientifically? Is there an unwritten law of the universe preventing somebody from formulating a system by which emotionless judgement is denied? If not, why would you not want to see scientific evidence, to at least lessen the chances of you being fooled by the interests of others?

> because this study wouldn’t have been published if it had found the opposite

please cite sources

The authors also submitted different test studies to different peer-review boards. The methodology was identical, and the variable was that the purported findings either went for, or against, the liberal worldview (for example, one found evidence of discrimination against minority groups, and another found evidence of "reverse discrimination" against straight white males). Despite equal methodological strengths, the studies that went against the liberal worldview were criticized and rejected, and those that went with it were not. - https://theweek.com/articles/441474/how-academias-liberal-bi...

That said, I highly doubt this finding in particular (women needing fewer calories/oxygen) is wrong. It's a well established metabolical fact that women need fewer calories, and it would be bizarre if that didn't translate into less oxygen used.

> Unfortunately, I have to take this with a grain of salt, because this study wouldn’t have been published if it had found the opposite.

This is pretty declarative and indicates a certainty on your part. Unfortunately, it is presented without the evidence that led to your certainty.

> Could there be opposite-conclusion studies that were quashed?

This sounds like a bias generated, leading question. However, nuance in text can be tricky.

Giving you the benefit of the doubt, what did you see with this study that leads you to ask this?

It’s well unestablished that women at least eat less calories than men, and they’re smaller than men.

If a study found men used LESS resources than women it would of course be surprising and receive closer scrutiny. We see over and over in nature that large things tend to use more resources than small things, of course people would be sceptical. A study having an unpopular conclusion doesn’t necessarily mean that study is especially credulous due to the good peer review it must have had, or that a study with a popular conclusion should be hand waved.

As noted in the paper: "Thus, this study builds upon previous work considering males9 to estimate the effect of body size (indexed from stature as this is currently a key operational anthropometric criterion, unlike body mass)".

What would be interesting is to perform the same comparison indexed on body mass, since many of the differences between male and female requirements seem to be predicated on body mass vs stature differences between male and female.

You can kinda estimate this by comparing a 1.5m male and 1.6m female in their data fields (typical 1.5m male is approximately same mass typical 1.6m female in their dataset). It does seem that a 1.5m male still expends more resources during "aerobic countermeasures" (ie exercise).

Still, interesting stuff. 1.6m female is basically the US 50th percentile height for females. In principle, restricting crew to that criteria wouldn't be too logistically onerous (you still get ~25% of the US population to work with).

Muscle mass is probably the major relevant factor.

Women in general have higher body fat percentages at the same weight, hence lower metabolic requirements.

I'd bet that a 1.6m female strength athlete would have a far higher metabolic requirement than e.g. a 1.6m average office worker guy.

The fact that women, as a general rule, are more air efficient at the same mass is generally well known in diving.

I'm highly air efficient for a man, but only moderately more air efficient than the average of the women I've dove with (as in I've only dove with a couple men as air efficient as I am, but 20-30% of the women I've dove with are MORE air efficient than I am, sample somewhere north of 200 total with a roughly 33% female population).

I can't speak to the rest of the paper's conclusions.

Does that "fact" hold up when you control for body mass and fat/muscle ratio? Because I suspect in reality this only means that we should send smaller people with fewer muscles into space. Life expectancy for example does not correlate with gender anymore once you account for body size.
That sounds very interesting, so you have a source for that? I could not find anything on Google searching for "life expectancy, gender and size".
I believe David Sinclair talks about this in detail in his book "Lifespan: Why we age"

Personally, I see this is less as a real research discovery and more like a cautionary tale on the pitfalls of statistics and the need for multivariate regressions with control variables.

That's an absolutely fascinating aside right there. Gonna have to look into that one.
This is an excellent point, and likely one of the main drivers.

How much that muscle mass means for the given mission is a separate, but relevant factor.

In diving, the main factor in determing air use (SAC rate if we want to use diving termonology) is work load. The more a person is relaxed and in rest, the lower the respitory rate will be. The more excertion a person do, like fighting a current, the higher it will be.

A smaller profile will also help in reducing drag. A smaller frame also need less air in their suit (both dry and wetsuit). This is likely however to impact resistance to cold.

While true this is orthogonal to the fact that for a given workload females seem to be more efficient.

That said, they generally have less capability for work at the same mass.

There seems to be a trade off between efficiency and power density, which is what this study is probably getting at.

Reading the article, it is unclear if they are comparing similar workloads. The article seems more focus on similar goals.

There are likely interesting differences based on density and base body functions that scale in non-linear ways. I expect however that all those would be minor gains compared to exertion rate, especially when it comes to oxygen consumption. If we use diving again as an example, a person just floating still will be using less than half the oxygen compared to a person swimming against a mild current. Heavy work can easily go past 4x or higher compared to the oxygen consumption of a person in rest, which is a major problem for rebreather divers who are limited by their equipment in term of scrubbing co2 (for every 1x of oxygen consumed, 0.9x of co2 is produced).

Ha, a 5 year old of either sex would win this. And a space flight would make a great show and tell.
How practically meaningful is the efficiency delta even of 60% (i.e. small-stature female compared to large-stature male)?

You need to take food with you and have a closed-loop air and water supply whatever the crew looks like, as well as engines, communications, engineering equipment, science payloads, etc, etc. How much does it cost to overspec the "metabolic system" by 60% in that context?

Then again, making everything the size of a 1.5m person rather than for 1.9m people would save on a lot of structural material and therefore mass and fuel[1].

But then again again, how much of the size of the ship is dictated by the size of the crew and how much by other non-biological need?

[1]: which is why chibi "aristo" robots take over in Saturn's Children by Charles Stross, as they're small and suitable for efficient space travel. Large robots may need limbs removed in order to afford transport.

That’s not a question with an easy answer.

Every single gram that has to have delta-v applied will need more fuel, which needs more fuel, commonly known as “The tyranny of the rocket equation.”

Maybe the crew metabolic efficiency drops the required resources to a level that one or more systems can change what tech they use (step change), pushing the weight even further?

Without further information about what the systems evaluations are, what technologies this might allow the employment of, and a thousand other points of data there is no way to actually answer your question.

EDIT: You added the part about vehicle sizing while I was replying, which is one of those thousands of data points. There are so many follow on effects it’s quite mind boggling.

This is interesting. Astronauts are generally picked from humans in peak physical condition. I expect the reason males are less efficient is due to them having higher physical peaks. It would be interesting to compare males and females of similar absolute physical status.
This is hardly surprising. The more mass you have, the more of the Krebs cycle you need to have running at all times. Maybe there is an advantage to having female astronauts, but this barely needed to be its own study.
I have found that, in my experience, women are generally better or more efficient at everything except pure brute strength.

With males, their testosterone always gets in the way. (read: 'self-interest')

>I have found that, in my experience, women are generally better or more efficient at everything except pure brute strength.

Yep, this is true in many different fields. Many studies have shown that patients get better outcome with female doctors, for instance.

And small men are probably more efficient than equivalently sized women, where is that study?
This makes sense and I expect in time, that short people in general will be preferred due to their fewer calories needed.

The Expanse books go into “spacer” evolution but I think that we’d have more short and compact people rather than tall and thin since taking less space is important in space in addition to fewer calories.

Also, there’s a funny bit in Seveneves where people in space cut off their legs because they felt they didn’t need them (spoiler: they did need them).

I thought that after astronaut programs got past their original sexism blocking female astronauts that the other concern was that radiation in space was much more harmful to female reproductive systems than male.

So the future of space work is post menopausal women. Or I suppose short men as well.

Apollo era: "Only men can go to space because science reasons."

People: "Yep, that sounds good".

SpaceX era: "Women are smaller and more efficient, which is a big deal when fuel costs are exponential"

People: "But have you controlled for X? What about Y? Surely it wouldn't be fair to send up only women. There must be something that is uniquely male and so we must send up at least some men, probably mostly men."

The reason is that they are smaller and require less food.

For the same reason let's use midgets.