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Mitch Naughton

@mitchnaughtonphd.bsky.social
731 followers 379 following 34 posts

PhD in Exercise Science | Lecturer in Exercise Physiology | Understanding Load, Fatigue, Recovery, and Systems Thinking

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Reposted by Mitch Naughton
James Balamuta @coatless.bsky.social · 04/10/2026
webrarian is a new R package. It turns a folder of R scripts and data into a static website where R runs in the visitor's browser, with no compute server and nothing to install. blog.thecoatlessprofessor.com/posts/introd... #rstats #webr #webassembly
A card for the R package webrarian. Large text reads "A folder in. A website out." On the left, a small card lists a folder named lab-01 holding lab.R, setup.R and a data folder. A red arrow points from it to a browser window that shows a scatterplot of car weight against miles per gallon with brick-red points. The address coatless-wasm.github.io/webrarian is on the card.
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Zeke Hausfather @zekehausfather.com · 05/08/2026
Published estimates of AI energy use per prompt (~0.3 watt-hours) appear reassuring small. But they are increasingly disconnected from how we actually use AI. Modern agentic tools use around 600 times more energy per prompt, as I discuss in my latest over at The Climate Brink www.theclimatebrink....
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Mitch Naughton @mitchnaughtonphd.bsky.social · 05/08/2026
@minzlicht.bsky.social might be of interest based on recent discussions
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Mitch Naughton @mitchnaughtonphd.bsky.social · 05/08/2026
static.klipy.com
Star Demands More!
ALT: Star Demands More!
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PBS News @pbsnews.org · 31/07/2026
The State Department said ​it takes "full responsibility" for "hastily" altering and then presenting a map of Africa at a global AIDS conference that mislabeled every single country it highlighted. An analysis by Reuters found a watermark in the map image that suggests it was made with OpenAI.
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Steffen Rayburn-Maarup @rayburnmaarup.bsky.social · 02/08/2026
I don't think people are ready for this kind of joke yet.
A town sign seen through a train window.
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turgut keskintürk @tkeskinturk.bsky.social · 06/07/2026
data visualization is my passion.
fox news showing weekly temperatures: 92, 92, 92, 94, 94, 92, 92, with a very strong gap between 94 and 92.
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Tits McGee @scientits.bsky.social · 28/06/2026
‘Say yes and never do it’ Mel Brooks knew how to deal with the studios
You have some wonderful stories of basically getting away with stuff at the studios.

I’d learned one very simple trick: say yes. Simply say yes. Like Joseph E. Levine, on “The Producers,” said, “The curly-haired guy—he’s funny looking. Fire him.” He wanted me to fire Gene Wilder. And I said, “Yes, he’s gone. I’m firing him.” I never did. But he forgot. After the screening of “Blazing Saddles,” the head of Warner Bros. threw me into the manager’s office, gave me a legal pad and a pencil, and gave me maybe twenty notes. He would have changed “Blazing Saddles” from a daring, funny, crazy picture to a stultified, dull, dusty old Western. He said, “No farting.” I said, “It’s out.”That’s probably the most famous scene in the movie, the campfire scene.

I know. He said, “You can’t punch a horse.” I said, “You’ll never see it again.” I kept saying, “You’re absolutely right. It’s out!” Then, when he left, I crumpled up all his notes, and I tossed it in the wastepaper basket. And John Calley, who was running [production at] Warner Bros. at the time, said, “Good filing.” That was the end of it. You say yes, and you never do it.

That’s great advice for life.

It is. Don’t fight them. Don’t waste your time struggling with them and trying to make sense to them. They’ll never understand.
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derek guy @dieworkwear.bsky.social · 16/06/2026
RIP Mark Rothko. You would have loved how the hydrogen peroxide bleach is only turning the Reflecting Pool blue around the perimeter
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ARC Tracker @arc-tracker.bsky.social · 14/06/2026
Research students: Government guarantee of minimum wage would be nice? Edu Minister @jasonclaremp.bsky.social: Nah. Universities can pay that if they want. Unis: We’re sacking researchers & defunding our research scholarship programs. What a “system”! Below-minimum wage = below-minimum research
theguardian.com
PhD student Maxim makes $18 an hour to research children’s cancer – it’s barely above Australia’s poverty line
Skyrocketing living costs and lack of government support are deterring potential PhD candidates. Experts say the obvious solution is to lift the stipend
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Mitch Naughton @mitchnaughtonphd.bsky.social · 14/06/2026
It makes it so hard to attract good students and recruitment is suffering in my discipline. They are obviously not dumb and have optionality. In the current environment they look at ~$40K for 3-4 years of and it is not appetising.
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Mitch Naughton @mitchnaughtonphd.bsky.social · 08/06/2026
Looking for a PhD student in the physiology, performance, and nutrition space. Stipend includes top up up to ~50K AUD per annum. Domestic (Australia) applicants only. Please share with your networks 👇 (www.newcastle.edu.au/study/resear...)
newcastle.edu.au
The Acute and Longitudinal Effects of Muto Supplementation on Physiological Outcomes in Endurance/Resistance Training
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Darren Dahly @statsepi.bsky.social · 04/06/2026
come on I just woke up don't do this to me dawg
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Mitch Naughton @mitchnaughtonphd.bsky.social · 26/05/2026
Whats the hypothesis here and the research q?
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Andrew Heiss @andrew.heiss.phd · 02/05/2026
Got to present this early draft paper today at a neat workshop organized by @rohanalexander.bsky.social. It's my attempt to grapple with the need for struggle and friction in learning in a world where LLMs remove all that friction. Read the whole thing at stats.andrewheiss.com/pinky-lychee/
AI for Me, Not (Yet) for Thee? Desirable Difficulties and Deliberate Friction with LLMs

Author: Andrew Heiss

Affiliation: Andrew Young School of Policy Studies, Georgia State University

Latest version: May 1, 2026

Details: This is a short position paper written for the Toronto Data Workshop’s 2nd Colloquium on Applications of AI, “Notes on the Future of Quantitative Social Science,” held at the University of Toronto on May 1, 2026.

Abstract: I am simultaneously a critical skeptic of large language models (LLMs) and their role in the learning process, and a reluctant and wary user of those same tools in my own work. This essay is an attempt to work through this tension by examining how LLM-based tools shape and reshape the foundations of expertise required to use them. If learners can generate working code through a Google search, if they can upload a blank problem set template and get a completed assignment in seconds, and if they can design, carry out, and analyze research projects in minutes, how can they build the expertise that is required to work with LLM output? Relatedly, if experienced researchers spend the bulk of their time reviewing LLM output and not working through code themselves, what happens to their expertise? The answer to these questions, I argue, is to deliberately introduce difficulty and friction in quantitative work, allowing learners to build expertise and helping experienced researchers maintain it.
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Wolfgang Viechtbauer @wviechtb.bsky.social · 27/04/2026
A new version (5.0-1) of the metafor package has been released on CRAN. It includes some smaller updates, including more ways to visualize prediction intervals / distributions. Further details here: www.metafor-project.org/doku.php/new... #Rstats #MetaAnalysis
A forest plot with various methods for visualizing the prediction interval / distribution at the bottom.
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Cap @captain7bag.bsky.social · 25/04/2026
Mainly just seeing if I could go from quarto doc in positron to Wordpress post directly. Answer is yes. And Claude code trying to write is hilariously bad: lightboxresearch.com/2026/04/24/e...
lightboxresearch.com
Every Pedal Stroke Is Recorded. Almost None of It Is Used.
Every time a cyclist trains with a power meter, their effort is recorded — every pedal stroke, every interval, every hour in the saddle. Most of that data goes nowhere useful. Not because it lacks …
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The Journal of Precision Medicine: Health and Disease @jprecmed.bsky.social · 16/04/2026
In this new #Review, Chiara Anna Giordani (@ucdcpmds.bsky.social) and @clancyatheart.bsky.social discuss #dose as a fundamental organizing principle in physiology. 💉 💊 🔗 Read it here: www.sciencedirect.com/science/arti...
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Dmitry Grozoubinski @explaintrade.com · 13/04/2026
Perhaps France and the UK could issue a call for papers?
The 'Epic Handshake' Meme, with Macron and Academics clasping hands in solidarity over the idea that at "A Conference Will Fix This."
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Eric Topol @erictopol.bsky.social · 01/04/2026
The Shingles vaccine is linked w/ reduced risk of Alzheimer's in 4 large natural experiments Today, the potential of high-dose flu vaccines vs standard dose in a large retrospective age 65+ cohort for less Alzheimer’s. More pronounced in women (like Shingles vaccines) neurology.org/doi/pdf/10.1...
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Mitch Naughton @mitchnaughtonphd.bsky.social · 02/04/2026
Hint?
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Pieter Van den Berghe @pieterveedeebee.bsky.social · 03/02/2026
🆕 The effects of isothermic heat acclimation on simple and complex cognitive performance in the heat www.tandfonline.com/doi/full/10....
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Anton Strezhnev @astrezh.bsky.social · 31/01/2026
Always worth going back to this @lakens.bsky.social piece on an influential statistician who *wasn’t* personally a piece of shit. daniellakens.blogspot.com/2021/09/jerz...
daniellakens.blogspot.com
Jerzy Neyman: A Positive Role Model in the History of Frequentist Statistics
Many of the facts in this blog post come from the biography ‘Neyman’ by Constance Reid . I highly recommend reading this book if you find ...
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The Washington Post @washingtonpost.com · 29/01/2026
Alison Luchs, who has worked at the National Gallery of Art for 47 years, agreed to learn Gen Z slang and make videos because she wanted to raise interest in the museum’s art. She never expected to slay. wapo.st/45BXc3S
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Caitlin Gilbert @caitlingilbert.bsky.social · 28/01/2026
In response to announcement that he will be a new CBS contributor, Andrew Huberman tweeted “I’ve always gone issue-by-issue on health & science, spoken to experts w/a range of takes & presented where I see the center of (data) mass pointed. I’ll do the same with @CBSNews”. In Sept he posted this:
Screenshot of tweet from Huberman that reads: “The other is that dog breeds w/different shaped heads are predictive of their demeanor and intelligence. And while I don’t! believe in Phrenology I now do pay some attention to how the shapes of peoples heads relates to their intellect and steadiness, or lack thereof.”
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Jem Arnold @jemarnold.bsky.social · 08/01/2026
Carb intakes are increasing among endurance athletes But there is wide uncertainty in how much we actually expend, depending on absolute power output, relative intensity, and gross metabolic efficiency Which factor has the biggest influence depends where we are on the map #rstats #datavis #cycling
Figure shows carbohydrate intake equivalent (grams per hour) as a function of power output (watts) from 100-400 W, for a range of isolines of RER (respiratory exchange ratio) from 0.7 to 1.00 (equivalent to the range of metabolic intensity). Each RER also has a band for gross metabolic efficiency (GE), which results in greater uncertainty for energetic output and therefore caloric and g/hr carb intake requirement.
Figure titles: What is the plausible range of carbohydrate intake required to match 100% glycogen expenditure per hour?
THIS IS NOT A RECOMMENDATION
RER will be lowest at rest, somewhere in the middle in “zone 2”, and highest at and above FTP functional threshold power. Uncertainty ranges for GE derived from Ettema & Lorås, 2009. Efficiency in Cycling. A Review. https://www.researchgate.net/publication/24027428_Efficiency_in_cycling_A_review.
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Jem Arnold @jemarnold.bsky.social · 08/01/2026
Typical range for GE = 15-25% Assuming 25% is not the best estimate GE = 25% (ie. 1kJ power output on bike computer == 1 kcal energy intake) will probably UNDERestimate energy expenditure and intake requirements for most athletes, at most realistic power outputs #rstats #datavis #cycling
Figure showing metabolic energy expenditure (kcal) as a function of power output (W) and external work output (kJ) from 100-400 W (400-1400 kJ), for a range of isolines of GE (gross metabolic efficiency).
Figure titles: What is the plausible range of internal metabolic energy expenditure (kcal) for a given external work output (kJ), as a function of power output (W) over 60-minutes.
GE is proportional to power output and intrinsic mechanical and metabolic factors, typically around 20%. The effect of intensity (RER; respiratory exchange ratio) on energy expenditure is minimal when compared to influence of external work output and GE. A 1:1 ratio of external work to internal energy expenditure is only accurate at the highest GE of ~25%.
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Greg Sasso @gregsasso.bsky.social · 30/11/2025
As a teacher, give me someone who wants to learn over basically any other trait
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Dan Simpson @danpsimpson.bsky.social · 30/11/2025
A PhD is a driving test. A postdoc is practice. You know that your students and postdocs will eventually be able to drive in directions you can’t or won’t. And it’s wonderfull. But it’s important not to mistake an unexciting work product with the actual value.
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Kevin Mitchell @wiringthebrain.bsky.social · 19/11/2025
Grateful to the Decoding the Gurus guys for having me on to discuss Autism, Microbiomes, & Mice Burying Marbles... @guruspod.bsky.social cc @statsepi.bsky.social @deevybee.bsky.social 😊 open.spotify.com/episode/01w8...
open.spotify.com
Autism, Microbiomes, & Mice Burying Marbles with Kevin Mitchell
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The Journal of Physiology @jphysiol.bsky.social · 19/11/2025
Recent #Research by Fabio G. Laginestra et al. examines the influence of biological sex on the #metabolic basis of skeletal muscle #fatigue in vivo 🔬 🧲 📜 Read the study here: physoc.onlinelibrary.wiley.com/doi/10.1113/...
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ARC Tracker @arc-tracker.bsky.social · 19/11/2025
Where to start, with a statement like this? "Tim Ayres said the cuts were aimed at refocusing … CSIRO towards research priorities, such as critical minerals, iron & steel production in Australia." From some rando down the bus stop, one would brush it off. But this is from our Science Minister 🤯
abc.net.au
CSIRO to cut up to 350 research jobs in major overhaul
After 440 positions were slashed last year, the CSIRO has announced more staff cuts across the country in a bid to remain financially viable.
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Darren Dahly @statsepi.bsky.social · 17/11/2025
When I'm right, I'm right; and when I'm wrong, I'm just trying to create a teachable moment.
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Michael Eisen @mbeisen.bsky.social · 15/10/2025
Finally, someone has solved a real problem with AI! No more having to take a paper in the format for a journal that rejected you, and reformat it for a new journal. Well done!! formatmypaper.com
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 11/10/2025
The real Butlerian Jihad is not againt AGI, but against AI slop? Happy weekend to all www.youtube.com/watch?v=_zfN...
youtube.com
AI Slop Is Destroying The Internet
YouTube video by Kurzgesagt – In a Nutshell
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Joe Matthews @josephmatthews.bsky.social · 03/10/2025
Okay I’m officially done on X/Twitter. In dire need of a healthy science community with people posting interesting takes on research. Where are my nutrition and metabolism people…? 🍎
media.tenor.com
a man drinking from a can that says science on it
ALT: a man drinking from a can that says science on it
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Mitch Naughton @mitchnaughtonphd.bsky.social · 30/09/2025
bsky.app/profile/adam...
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Mitch Naughton @mitchnaughtonphd.bsky.social · 25/09/2025
None of which is helpful I realise! All the best with whatever you decide to do.
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Mitch Naughton @mitchnaughtonphd.bsky.social · 25/09/2025
I don’t regret it at all, but it was a very stressful time and I certainly didn’t cope very well at the time. Pandemic definitely contributed to that. Worked out in the end.
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Mitch Naughton @mitchnaughtonphd.bsky.social · 25/09/2025
I had this issue during my PhD - one supervisor left during COVID and another wasn’t prepared to take me on. I spent about 6 months trying to find my own exit as the uni did not help me. Once I secured the exit I moved uni’s and I never looked back, but I also lost my scholarship for a time.
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furby hancock @furbyhancock.bsky.social · 22/09/2025
Too late, Batman. Once this Tylenol floods the city's water supply, my wiki won't run out of editors ever again
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Mitch Naughton @mitchnaughtonphd.bsky.social · 22/09/2025
Idles?
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Mattan S. Ben-Shachar @mattansb.msbstats.info · 18/09/2025
Finished marking papers in one of my courses. It's painful to see bright minds atrophied by the integration of LLMs into the "learning" process. Instead of building an understanding, e.g. by trying to generalize examples seen in exercises, LLMs are used in an effort to "just do". Poorly. Shame.
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Craig A. Goodman @craigagoodman1.bsky.social · 18/09/2025
The influence of biological sex on the metabolic basis of skeletal muscle fatigue in vivo physoc.onlinelibrary.wiley.com/doi/10.1113/...
physoc.onlinelibrary.wiley.com
The influence of biological sex on the metabolic basis of skeletal muscle fatigue in vivo
Abstract figure legend Women are often reported to develop less muscle fatigue than men during physical activity. By combining electrical femoral nerve stimulation and phosphorus magnetic resonance s...
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Mark Burnley @drmarkburnley.bsky.social · 18/09/2025
You can see exactly where Wightman’s tank emptied, about 5-10 m from the line (by the Honda sign). If you calculate his critical speed and D’ from his outdoor PBs, D’ was gone 6 m before the line.
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ARC Tracker @arc-tracker.bsky.social · 12/09/2025
What do you think about Australia "associating with" Horizon Europe? It's not me asking, but the Department of Industry, Science and Resources. If you're interested, make a submission to their "request for information": ▶️ consult.industry.gov.au/association-...
consult.industry.gov.au
Converlens - Engagement, insights and analytics platform for surveys and consultations
Collect, Manage and Analyse surveys, consultation data and text
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Olivia Guest · Ολίβια Γκεστ @olivia.science · 06/09/2025
Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia: doi.org/10.5281/zeno... We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical thinking, expertise, academic freedom, & scientific integrity. 1/n
Abstract: Under the banner of progress, products have been uncritically adopted or
even imposed on users — in past centuries with tobacco and combustion engines, and in
the 21st with social media. For these collective blunders, we now regret our involvement or
apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we
are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not
considered a valid position to reject AI technologies in our teaching and research. This
is why in June 2025, we co-authored an Open Letter calling on our employers to reverse
and rethink their stance on uncritically adopting AI technologies. In this position piece,
we expound on why universities must take their role seriously toa) counter the technology
industry’s marketing, hype, and harm; and to b) safeguard higher education, critical
thinking, expertise, academic freedom, and scientific integrity. We include pointers to
relevant work to further inform our colleagues.Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI
(black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are
in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are
both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and
Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf.
Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al.
2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA).Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms
are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe.Protecting the Ecosystem of Human Knowledge: Five Principles
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Bart Penders @penders.bsky.social · 03/09/2025
Our data stewards have started recommending that we no longer use US-based infrastructure for #openscience practices, given the risk of (near-future) censorship, from pre-print and data hosting to preregistration and more. That includes OSF.
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Adam Kucharski @adamjkucharski.bsky.social · 01/09/2025
Results so stunningly clear they inspired this classic xkcd (xkcd.com/2400/):
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