How Strava Is Using AI Tools to Crack Down on Cheaters

Strava drama has become the name of the game in the fitness tracking world. I suppose when your favorite fitness app also includes a social media element, a little tension is inevitable. Add competitive leaderboards into the mix, and you've got a recipe for intrigue that would make reality TV producers salivate.

If you're tuned into leaderboard controversies, you'll know that runners and cyclists are deeply divided on whether the platform is doing too much—or not nearly enough—to combat fake entries. If you ask me, when some users are deploying electric unicycles to dominate local climbing segments, that's evidence enough something needs to be done.

And now Strava is doing something: The company has announced the launch of AI-enabled Leaderboard Integrity, a new tool intended to separate legitimate athletes from creative cheaters.

How Strava is using AI to root out cheaters

For the uninitiated, the reason people cheat is usually to claim King of the Mountain (KOM) and Queen of the Mountain (QOM) titles—coveted crowns that represent the fastest times on specific segments. Peruse the Strava subreddit for a few minutes, and you'll be sure to see grievances about leaderboard cheaters.

Strava's latest update is designed to identify and flag "irregular, improbable, or impossible" performance recorded on the platform. The system acts as a digital referee, capable of detecting when an impossibly fast e-bike ride has been mislabeled as a regular cycling effort, then politely prompting users to correct their entries.

The technology goes beyond simple speed checks. Strava revealed in February that its machine learning system analyzes activities using 57 different factors, including speed patterns, elevation gains, and acceleration data, to determine when something doesn't add up. The result of this crackdown? Strava has already removed 4.45 million activities from its platform.

The deleted activities generally fall into two main categories: entries uploaded with the wrong sport type (like labeling an e-bike ride as regular cycling) and activities recorded while in a vehicle. To be fair, the latter category likely includes everything from users forgetting to stop their tracking while driving home, to more deliberate attempts to game the system by recording car or train journeys as part of legitimate running segments.

How Strava users are reacting

The fitness community's reaction to Strava's cheater detection has been characteristically split. Serious athletes and segment hunters generally applaud the stricter measures—after all, leaderboard integrity is what makes the app's competitive element at all meaningful. If the numbers are fraud, what's the point?

However, some users worry about false positives—that is, legitimate exceptional performances getting flagged by overzealous algorithms. And the AI is overzealous: Some users have commented that their personal records are being deleted without any sort of prompt or ability to dispute the AI's findings. If you're a serious athlete, seeing your genuinely impressive times being questioned by an automated system that might not account for peak human performance is naturally going to rankle.

Outside of leaderboard integrity, Strava's AI initiatives are generally overzealous and inaccurate. I'm not alone in noticing how absurd its new route generation can get. I'm talking routes with concentric loops, cutting through buildings, major roads instead of residential paths, and other issues that will make no sense to a real human moving through the world. Given the immense heat map data that we've all effectively donated to Strava, to be given such shoddy AI-generated routes is fairly bonkers, and it's hardly surprising that its cheat-detecting tools would also be less than precise.

The bottom line

Controversy aside, Strava's competitive features should be more about personal motivation than serious competition. If cheater detection is ruining your experience, I recommend some perspective. Try not to let it spoil what should be a fun, social fitness experience—especially given the AI tools don't (yet) seem accurate enough to reflect reality.

But with 4.45 million activities already in the digital trash bin, Strava's message is clear: The days of easily gaming the leaderboards are over. Of course, as fitness tracking technology continues to evolve, so too will the methods people use to fool the system. Hopefully Strava stays one step ahead of creative rule-benders.