The long run is the cornerstone for success in the half marathon, but we sometimes don’t give it the attention it deserves. Let’s reassess how you’re running your half marathon long runs, why you’re running them that way, and if you should be doing something different.
This is week #2 in May’s You Don’t Know the Half of It: Half Marathon blog series. Check out last week’s breakdown of half marathon workouts here.
Don’t Know the Half of It: Half Marathon Long Run Essentials
Why a Long Run?
While the saying is, “You can half-ass a half marathon,” prioritizing the long run in your training can lead to faster times on the race clock.
A long run will…
- Make you more comfortable with the distance of the half marathon
- Build your cardiovascular system in ways shorter runs cannot
- Change your body on a cellular level into a powerhouse
- Increase your endurance for half marathon and beyond
- Increase your speed endurance for all distances by strengthening your aerobic system
The great thing about the long run for the half marathon, is that it isn’t as time consuming as the marathon’s long runs, but they should still be sacred in your eyes. Often times for frequent half-marathoners, their midweek training is already maxed out by time constraints, but improving their long run will go a long way to improving their half marathon performance.
How are you running your long runs?
Increase your long run by 1-2 mile or 15-20 minute increments. Since long runs for half marathons don’t build as high as marathon long runs, I often take the opportunity to increase long runs by 1 mile or 15 minute increments. Given the proper running base, we can get up to 15 or 16 miles, do some shorter long runs with a speed component, or both. These long run workouts boost confidence and fitness for the race when basic distance begins to feel easy.
Does my week support my long run?
Despite the wonderful benefits and values of a long run, you can’t just run 10 miles every Saturday and take the rest of the week off. You need appropriate shorter runs throughout the week to support your long run, to minimize injury risk, and keep fitness gains.
Preferably your shorter, maintenance runs will be half the distance of your long run. For example, regular runs of five miles supports a ten mile long run. Or looking at total mileage, your long run is 25-33% of your weekly mileage. Both of these guidelines are great for base running, but as you get deep into your training cycle, it may not be feasible. You may want to peak with a 16 mile long run, but be unable to increase your midweek mileage accordingly in that same span of time — this temporary imbalance can be OK with a strong running base. Just don’t make it a regular off-season occurrence.
You can also offset this imbalance between midweek miles and long run miles by developing a medium-distance run during your week. Maybe you can’t run 6 miles every midweek run, but you could on Wednesday. You might run 3 miles / 6 miles / 3 miles / 8 miles. Now you’re long run is at 40% of your weekly mileage. Add in another day of 3 miles, and you’re at 35%, further minimizing the injury risk from an “acutely long” long run.
Am I running my long run too fast?
Unless you’re purposefully running goal pace miles or another specific workout, your long run should be done at easy, conversational pace. These runs are about time on your feet and encouraging your body to improve its aerobic system, so don’t rush your long runs – you’ll lose the benefits.
If you find yourself slowing at the end of your long runs, try starting slower next time. You’re looking for a steady pace without panting, without unintended walking breaks, and with the ability to take a quick phone call or chat with a partner.
Read more about pacing the long run here.
When am I ready for overdistance?
If you’ve…
- Raced at least one half marathon,
- Have a high-mileage base (ie, you’re already running 8-10 mile runs), and
- Have the time to build the distance safely with proper rest
then you’re probably ready for overdistance runs. 13 or 14 miles may be enough stimulus for your first over-distance training cycle. Later, overdistance of 15 or 16 miles could be beneficial to make the half marathon feel more comfortable and build aerobic endurance.
When am I ready for speedwork within the long run?
- When you’re ready to progress to overdistance or you already have,
- You’ve already incorporated speedwork in shorter runs during the week, and
- Your long runs feel easy.
Rather than continuing to pile on miles onto your long run to make it harder, you can sprinkle in a few faster miles to increase the difficulty of the workout.
Should I fuel my half marathon long runs?
Fueling is individual to everyone. For runs less than 16 miles, you may want to eat a small meal before your long run and run without mid-run fuel with the philosophy that your body will learn to more effectively burn its fuel stores. Or, you may want to fuel mid-run any run over 60 minutes. I at least recommend fueling for any “high quality” long run, such as race pace miles where performance is the goal vs time on your feet. Also, use one or two long runs to practice your race-day fueling to remember the logistics and test your stomach.
Learn more about fueling the long run here.
Can’t I just stick with a 8 (or other number) mile long run every week?
From a running science perspective, you introduce a stressor to trigger fitness gains. Eventually the body adapts to the stressor and fitness plateaus. By changing up the stressor – by changing the distance, pace, terrain – you improve. Keeping the same variables day after day will make you very efficient at those specific variables. Change it up to improve.
In the long run…
The long run takes up a lot of your time. Make sure you’re supporting it with reasonable midweek workouts and conscious decisions regarding fueling.
Then, make sure you’re getting what you need out of it. If not, switch things up. If you’re not sure what changes to make to your training cycle, I’d be happy to help. I do online coaching and custom plan designs.
Stay tuned next week on how to build a training plan for your half marathon. Maybe you won’t need my services after all. 🙂
“AI expends a lot of energy being polite, especially if the user is polite, saying ‘please’ and ‘thank you,’”
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Dauner explained. “But this just makes their responses even longer, expending more energy to generate each word.”
For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don’t need an explanation at all.
Most important, Dauner’s study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task.
“Task-specific models are often much smaller and more efficient, and just as good at any context-specific task,” Luccioni explained.
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If you are a software engineer who solves complex coding problems every day, an AI model suited for coding may be necessary. But for the average high school student who wants help with homework, relying on powerful AI tools is like using a nuclear-powered digital calculator.
Even within the same AI company, different model offerings can vary in their reasoning power, so research what capabilities best suit your needs, Dauner said.
When possible, Luccioni recommends going back to basic sources — online encyclopedias and phone calculators — to accomplish simple tasks.
Why it’s hard to measure AI’s environmental impact
Putting a number on the environmental impact of AI has proved challenging.
The study noted that energy consumption can vary based on the user’s proximity to local energy grids and the hardware used to run AI models.
That’s partly why the researchers chose to represent carbon emissions within a range, Dauner said.
Furthermore, many AI companies don’t share information about their energy consumption — or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI’s water consumption.
“You can’t really say AI consumes this much energy or water on average — that’s just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,” Ren said.
One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested.