Consistent with the broader body of research, this study found that training with a moderate proximity to failure (20% velocity loss) produced the greatest strength gains, whereas training closer to failure (40% velocity loss) elicited the largest increases in muscle size.
Take-home message: Proximity to failure appears to be goal-dependent. Training closer to failure becomes increasingly important when the primary objective is maximizing hypertrophy, whereas strength development may be optimized by stopping sets somewhat further from failure.
https://t.co/v7OmQSlFO3
The family of this two-year-old could not afford a $20,000 electric wheelchair, and their insurance would not cover the cost.
So, a high school robotics team constructed one for him at no charge.
Effortlessly funny without shaming anyone. She should be a stand up comedian in Vegas or go on a world tour..
“She deserves a raise! 😂
This cabin crew moment made our day ✈️😄
Calm, professional + perfect humor at 35,000 ft 💙
I'm just going to say it: Some of the worst advice on endurance training, VO2max, etc. comes from non-endurance fitness influencers
They know enough to be dangerous, but not enough to know they are wrong You're better off listening to a HS cross-country coach.
Every time her son has a birthday, his mother takes him to the cemetery to pick up "the present his father gave him." The intention is to keep him alive in the child's memory.
How slow should you go on your recovery runs?
Here's a tip from coach Mihali Igloi:
"Run so slowly that the pace almost hurts. Fatigue should not be produced, it should be resolved."
XC kids end the season feeling invincible.
Then track pace shows up
and the Injury Mirage hits like a pop quiz.
“Coach, why does my lower… upper… side-leg hurt?”
“What muscle is this?”
“Was this body part always here?”
XC hides a lot.
Track exposes everything.
It’s not injury.
It’s discovery.
They’re just meeting muscles they didn’t need at 5K rhythm.
A lot of early track ‘injuries’ are really exposure problems, not damage.
Welcome to the awkward in-between season.
Magnesium might be the most evidence-backed supplement for migraine prevention
Clinical evidence from five randomized controlled trials reveals that supplementing with ~600 mg daily reduces migraine frequency and intensity
It’s believed to work by inhibiting cortical spreading depression and reducing pain-signaling chemicals like substance P and glutamate
Note: 600 mg is quite a high dose, so consider dividing it up throughout the day to avoid GI distress and using well-absorbed forms like citrate or glycinate
But anger alone is not enough. What matters now is what must change:
-Replace leadership. Cancer is not one field, it’s dozens: general oncologists, specialty oncologists, geneticists, immunologists, nutritionists, surgeons, radiologists, researchers, most of them working in isolation. This fragmentation is a significant impediment for progress.
Governments and institutions must force integration, building true interdisciplinary teams under bold leadership. Without that, progress will remain impossible.
-Flip funding. Today, less than 0.5% of the NIH budget goes to high-risk, high-reward science. That number must be inverted and the majority of invest ment should go to bold, disruptive work with new ideas. Science desperately needs new ideas, not endless recycling of the old ones. Without that inversion, the war on cancer will remain unwinnable. But for that, the establishment at NIH and similar institutions must be replaced.
-Stop chasing profits. Universities, hospitals, and pharma companies must stop obsessing over profits, shareholders and administrative overheads, while cancer kills 10 million people every year (the equivalent of a COVID pandemic, repeated annually).
A large share of their earnings, often viciously accumulated, must be poured back into research and into sustaining multidisciplinary teams that can actually integrate knowledge and attack this disease from every angle.
And yes, AI can help. But only if we first put our shit together. Without integration, without leadership, without vision, AI will just become the next “genetics” with billions spent and little delivered and our post powerful tools will be wasted.
Until these changes happen, cancer will keep winning. The real enemy is not just the disease. It is the system pretending to fight it.
The largest failure in modern science is the war against cancer.
For decades, pharmaceutical companies, the NIH establishment, and the old guard of academic medicine have resisted new ideas, clinging to outdated paradigms. Medical schools remain disconnected from the present and the future, prioritizing NIH-linked overhead and administrative costs over fostering disruptive ideas. This protects institutions, but moves science further away from real progress.
Cancer research and therapeutics are fragmented across countless specialists, each operating in isolation, divorced from the larger reality of the disease. This disjointed structure makes it nearly impossible to move forward together in the right direction.
I don’t claim to have the answers. What I do have are questions,
hard questions, born from living this problem up close, across multiple layers of research, clinical practice, institutional resistance, and patients, including my late father.
Yet one thing is clear: progress will only come by dismantling silos, funding bold interdisciplinary work, reforming medical training, and measuring success by patient outcomes rather than publications. Universities, too, must move beyond chasing overheads and clinging to conservative approaches. There is no room and no time for caution when it comes to cancer. But instead of being all in, they continue to follow the slow, entrenched pace of the NIH establishment. Without a decisive break from this system, the “war on cancer”, the “Emperor of all maladies”, will remain unwinnable.
Cancer is larger than life, and I see no moment on the horizon where AI will cure it. For now, AI risks becoming the new “genetics” where billions of dollars invested, yet little delivered for patients in actually changing the course of this war.
To win the war against cancer governments and pharma companies need to completely get out of their way and think differently, boldly and fearless…at the end of the day there are millions of human lives at stake.
In my previous post I called cancer research the biggest failure in modern science. The reason to me is clear: the architecture and integration of cancer research and clinical approaches is broken.
But anger alone is not enough. What matters now is what must change:
-Replace leadership. Cancer is not one field, it’s dozens: general oncologists, specialty oncologists, geneticists, immunologists, nutritionists, surgeons, radiologists, researchers, most of them working in isolation. This fragmentation is a significant impediment for progress.
Governments and institutions must force integration, building true interdisciplinary teams under bold leadership. Without that, progress will remain impossible.
-Flip funding. Today, less than 0.5% of the NIH budget goes to high-risk, high-reward science. That number must be inverted and the majority of invest ment should go to bold, disruptive work with new ideas. Science desperately needs new ideas, not endless recycling of the old ones. Without that inversion, the war on cancer will remain unwinnable. But for that, the establishment at NIH and similar institutions must be replaced.
-Stop chasing profits. Universities, hospitals, and pharma companies must stop obsessing over profits, shareholders and administrative overheads, while cancer kills 10 million people every year (the equivalent of a COVID pandemic, repeated annually).
A large share of their earnings, often viciously accumulated, must be poured back into research and into sustaining multidisciplinary teams that can actually integrate knowledge and attack this disease from every angle.
And yes, AI can help. But only if we first put our shit together. Without integration, without leadership, without vision, AI will just become the next “genetics” with billions spent and little delivered and our post powerful tools will be wasted.
Until these changes happen, cancer will keep winning. The real enemy is not just the disease. It is the system pretending to fight it.
Such a kick in the butt to human biology…😬 Lactate is produced under fully aerobic conditions (shown by George Brooks ~40 yrs ago) and during exercise it comes from muscle glycogen, the very pathway that gave Meyerhof the Nobel Prize in 1922…
Yet most scientists still don’t know about lactate and still place it as a “waste product” from anaerobic metabolism…. This concept is as wrong as still calling non-coding DNA “junk DNA”…
Lactate is actually a central signaling molecule in most cellular metabolic processes and a key player in health & disease.
Not trying to be rude, it is just sad that many scientists are still getting this wrong when lactate is such an important element in health and disease (including longevity)…🙈
Gratitude reliably increases happiness.
It's one of the most undisputed findings in the social science literature on happiness. The trick is to develop ways to be a more grateful person—that is, to recognize goodness and affirm it in a systematic way. To do so is not natural to us, in fact.
On the contrary, humans have a “negativity bias,” an evolved tendency to focus more on adverse events than on positive ones. So, to practice and reinforce gratitude means working against our natural impulses, much like getting off the couch and lifting weights.
The real question, then, is how to override our negativity bias, recognize goodness, be grateful for it, and consciously avow it. The answer is to adopt purposive gratitude routines. Here are four that great philosophers have proposed:
1. Start with Your Inner World: Treat gratitude like a mental habit.
2. Say It Out Loud: Don’t keep gratitude to yourself—express it.
3. See it as a Moral Duty: Think of gratitude not just as a nice thing to do, but something you owe.
4. Turn It Into a Spiritual Practice: Use gratitude as a form of prayer or meditation.
Who would have thought ~29 years ago that this concept would be so popular when I started playing with zones to try to describe different exercise bioenergetics in order to prescribe training in a more accurate way than what we had back then...🙈 https://t.co/7X5vnQAHrL