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Second time hitting 1700 mL. Held my morning pee for a little over 4 hours whilst drinking ~2L water and had three coffees. 1) ~20 minutes before peeing 2) 1600 mL initial stream 3) last 100 mL comes out as my bladder relaxed after a few minutes 4) empty...

78,136 次观看 • 6 个月前 •via X (Twitter)

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🤔 Could Parasites Be Quietly Affecting Your Health? Many people experience these persistent signs without realizing parasites might be involved: - Ongoing bloating and digestive upset - Unexplained tiredness, foggy thinking, or sudden mood changes - Nutrient shortfalls even when eating a balanced diet - Skin problems such as acne, rashes, or constant itching - A weakened immune response, leading to more frequent colds or infections Why This Natural Blend May Help: -Garlic releases allicin, a powerful natural compound with strong antimicrobial action that can target harmful bacteria and parasites. -Turmeric delivers curcumin, offering anti-inflammatory, antioxidant, and potential parasite-disrupting benefits. -Black pepper contains piperine, which dramatically improves curcumin absorption by up to 2000% so your body can actually use its full power. What You'll Need: - 3 fresh garlic cloves 🍂 - 2 limes, thinly sliced 🍋 - 1 tsp turmeric powder 🌿 - A small pinch of black pepper ⚫ - 550 ml water 💦 - (Optional) 1 tsp raw honey for taste 🍯 Key Potential Benefits: - Helps target and reduce harmful gut parasites - Eases bloating while supporting smoother digestion - Strengthens immune defenses and restores natural energy levels Simple Preparation Steps: 1. Thinly slice the garlic cloves and limes (as demonstrated in any reference video). 2. Add everything except the optional honey to a pot with 550 ml of water. 3. Bring to a boil over high heat, then simmer for about 8 minutes. 4. Strain the mixture into a cup or jar. 5. Stir in raw honey if desired for sweetness. 6. Drink one cup each morning on an empty stomach for 2 weeks straight. 7. Refrigerate any leftovers and gently reheat before drinking.

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20,851 次观看 • 6 个月前

Increasing your VO2 max is crucial because it enhances your body's ability to utilize oxygen efficiently, leading to improved endurance, better overall cardiovascular health, and enhanced performance in both daily activities and athletic endeavors. From a lifespan perspective, it dramatically reduces mortality risk and does not appear to have an upper limit - so the benefits do not taper off as you get more fit. The more, the better here. With appropriate training, nutrition, sleep, and stress management, a 30-50% improvement in VO2 max is possible within 6-12 months, though the rate of increase slows as fitness improves. Some published research even found that highly trained individuals can increase by 10-20% after a year, while untrained individuals might achieve this in 4-6 months. Please keep in mind how 'percent changes' work mathematically. Let me give you a real-life example of two middle-aged females whom I just started coaching last week. Client 1 is in moderately decent cardiovascular fitness, so I'd expect her to go from 33 ml/kg/min to 38 ml/kg/min in the next 6 months — which would be an increase of 5 ml/kg/min and represent 15%. That's a reasonable expectation and something I've personally seen in our clients countless times. However, client 2 is a former elite athlete and is still very fit. She's currently at 56 ml/kg/min, so increasing her by 15% would take her to 64 ml/kg/min. That's possible but not likely. Frankly, anything over 60 ml/kg/min would be an enormous jump. You can learn more about how and why to strengthen your heart and cardiovascular fitness, which is covered in Episode 1 of Perform with Dr. Andy Galpin.

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61,568 次观看 • 2 年前

if you're struggling on where to start learning ML, here’s a playlist of 30 youtube videos to learn machine learning fundamentals from scratch "Machine Learning: Teach by Doing" is a solid choice to learn both theory and code. (1) Introduction to Machine Learning Teach by Doing: (2) What is Machine Learning? History of Machine Learning: (3) Types of ML Models: (4) 6 steps of any ML project: (5) Install Python and VSCode and run your first code: (6) Linear Classifiers Part 1: (7) Linear Classifiers Part 2: (8) Jupyter Notebook, Numpy and Scikit-Learn: (9) Running the Random Linear Classifier Algorithm in Python: (10) The oldest ML model - Perceptron: (11) Coding the Perceptron: (12) Perceptron Convergence Theorem: (13) Magic of features in Machine Learning: (14) One hot encoding: (15) Logistic Regression Part 1: (16) Cross Entropy Loss: (17) How gradient descent works: (18) Logistic Regression from scratch in Python: (19) Introduction to Regularization: (20) Implementing Regularization in Python: (21) Linear Regression Introduction: (22) Ordinary Least Squares step by step implementation: (23) Ridge regression fundamentals and intuition: (24) Regression recap for interviews: (25) Neural network architecture in 30 minutes: (26) Backpropagation intuition: (27) Neural network activation functions: (28) Momentum in gradient descent: (29) Hands on neural network training in Python: (30) Introduction to Convolutional Neural Networks (CNNs):

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117,570 次观看 • 1 年前