Faster together: Why the training group beats the best plan

Many athletes do not fail because of bad plans, but because of implementation. According to sports scientists, the group helps precisely when your weaker self wins.

Anyone who wants to be successful in endurance sports usually plans meticulously. Training software, personalised coaching and exact watt zones are part of everyday life for many recreational athletes. However, according to a report by the magazine tri-mag.de, the biggest problem in training is not a flawed plan, but a plan that is actually good but simply not implemented. Often, the plan fails early in the morning when the alarm rings and the weather outside is unpleasant.

The community effect defeats the excuses

This is where sports psychology comes into play: while you stay in your warm bed when you are alone, making an appointment with others provides the necessary commitment. When your training partners are waiting at the edge of the pool or at the meeting point at 6:30, getting up is much easier. This phenomenon is also known as the community effect. Science has long known that the group massively increases the willingness to train and drives us to better performances.

More performance through the Köhler effect

An important driver for this success is the so-called Köhler effect. It ensures that we automatically exert ourselves more in the group and grow beyond our supposed limits. Instead of staring stubbornly at the second decimal place of a digital training plan, direct exchange and overcoming hurdles together help you to stay on track consistently.

For your own training, this means: find like-minded people. Fixed appointments for the weekly bike ride or swim training are often more valuable than the most expensive training software, because they get you outside exactly when you wouldn't have made it on your own.

Your takeaway: Make firm appointments with training partners, because social commitment gets you to training more reliably than any digital plan.

Sources

This article was generated automatically with AI from the sources listed above and has not been editorially reviewed.