Crémieux Profile picture
Mar 28 9 tweets 4 min read Read on X
The American nuclear industry illustrates negative learning: the costs of plants have increased over time.

But this is not nuclear's fault. Almost everywhere else, the learning rate is positive: costs decline as the industry gains experience building!

🧵

Consider France:Image
The U.S. has really only been experiencing cost overruns since the Three Mile Island incident, and the reason has to do with the industry becoming overregulated as a result of the public outcry that ensued. Image
In general, nuclear cost overruns are driven by indirect costs, like having to hire more safety professionals due to added regulatory burdens.

Those explain 72% of the price hike in the U.S., 1976-87: Image
In a more recent OECD report on nuclear from 2020, it was noted that "indirect cost[s] are the main driver of these cost overruns" and 80% of those indirect costs are attributable to largely unnecessary labor. Image
The regulatory costs levied against nuclear are so extreme that they can make components cost 50 times what they should, like in the case of 75 mm stainless steel gate valves.

The main factor differentiating nuclear and industrial grade? Unnecessary quality certification. Image
The question is less "Why is nuclear expensive?" and more "Why is nuclear overregulated?"

And the reason isn't clear-cut. It's obvious it's not so simple as saying "ALARA!", since many countries manage positive learning despite sticking to the same philosophy.
It's more likely a combination of factors involving activism

Thanks to activism, the U.S. nuclear fleet won't achieve French emission levels because, under the Carter administration, activists managed to get reprocessing banned, tarring nuclear's reputation via the 'waste' issue
In any case, nuclear remains a viable option for cleanly powering the future, and continued research into it is necessary for taking us into the stars.

Moreover, for consumers, it remains beneficial ($!) so long as intermittent forms of generation are, well, intermittent.
There's more that can be said, but I'll cut it off there

Sources:







To read way more on this, check out this IFP piece:

And a Construction Physics favorite: oecd-nea.org/upload/docs/ap…
sciencedirect.com/science/articl…
sciencedirect.com/science/articl…
ifp.org/nuclear-power-…
construction-physics.com/p/why-are-nucl…

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More from @cremieuxrecueil

Mar 28
Paleo artists often "shrink wrap" fossilized animal depictions

The T-Rex, Utahraptor, Triceratops—popular depictions of each of these animals shows skin so close to bone that it might be unrealistic

So let's shrink-wrap existing animals🧵

Can you guess what this is? Image
Preemptive note: All of this artwork is from C.M. Koseman, whose book (which is way more extensive than this thread) and some other material is linked at the end of the thread.

The last animal was a rhinoceros—the thing with the cooling heat sail!

Any idea what this animal is? Image
That last one might seem to be a dog, but it's actually a horse.

It's not so clear what this graceful beast might be. Image
Read 27 tweets
Mar 27
Globally, almost 1% of people have been infected by a virus that can cause a form of leukemia, the human T-cell leukemia virus type 1, HTLV-1.

Among Australian Aboriginals, this disease is sexually transmitted and, as a result, almost half of those aged 45+ are infected by it. Image
While it seems like every fact about Australian Aboriginals is some form of "Would you like to hear a horror story?", I still think this one is up there among the worst Aboriginal facts.

This group has the highest prevalence of HTLV-1 in the world, but they're not alone.
This disease is also prevalent in South America. Image
Read 10 tweets
Mar 23
Among trials I'd like to see replicated is this one of the antibody bimagrumab.

In a sample of diabetics, it led to semaglutide-like weight loss with zero lean mass loss by end of study. In fact, lean mass went up, consistent with bimagrumab mimicking myostatin deficiency.Image
I want a replication because

- Smallish sample, so we're far from sure
- We need samples of non-diabetics

1/2
2/2

- The samples all had diet/exercise advising, so it's not clear why lean mass didn't decline. Was it diet/exercise or the fact that the activin 2b receptor negatively regulates muscle mass when activated by myostatin and bimagrumab prevents that?

I lean to the latter.
Read 4 tweets
Mar 22
Have you ever wondered why advertisements heavily feature Black people when they're only 12-14% of the U.S. population?

A new paper might have an explanation: Blacks have a strong preference for seeing other Black people in media, whereas Whites have no racial preferences. Image
These results are based on meta-analyses of 57 and 76 pre-2000 effect sizes for Blacks and Whites and 112 and 87 post-2000 effect sizes.

If you look at these effects over time, it becomes clear that Whites' initial, slight racial preferences have declined and maybe reversed. Image
It's a meta-analysis, so one question that you might ask is this: is it afflicted by publication bias?

Seemingly not, either in aggregate (pictured) or separately by race. Hurray! Image
Read 6 tweets
Mar 11
This study should be retracted, both for issues the authors can address and issues with the underlying data.

Short thread.
The study suffers from some noticeable, obvious miscoding of effect sizes.

For example, the authors reported an effect size of -11.22 Hedge's g.

That's MUCH larger than the difference in people's preference for chocolate over feces-flavored ice cream.

Attempting to replicate the authors' effect sizes with their provided data, it's simply not possible.

Most effect sizes are not even within 1 Hedge's g of what they reported, and 1 g is a huge effect.

Read 18 tweets
Mar 11
In a different study, 110 women were longitudinally examined pre- (36 weeks) and post-pregnancy (22 days postpartum).

Their brains gained volume in the postpartum period.

🧵
Image
Comparing the women who gave birth to a group of non-pregnant women who were examined 44 days apart before (Prg) and after (Post) birth, you can see mothers made up significant ground but didn't fully converge.

But, to know if that's expected, we'd need pre-pregnancy measures. Image
There were no differences between women who gave vaginal births or who had emergency C-sections, but the sample size here is already running small.

But, the main results were—thankfully—replicated in a smaller sample of 29 mothers and 24 nulliparous women.
Read 10 tweets

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