X's new iOS link experiment is artificially inflating traffic numbers across the web, creating headaches for publishers and advertisers trying to measure real engagement. Major sites like Substack and Bluesky are reporting massive spikes in "fake" views due to X's background preloading system that fetches content before users actually click on links.
X just broke web analytics across the internet, and most publishers didn't see it coming. The platform's latest iOS experiment is sending phantom traffic to websites everywhere, leaving companies scrambling to separate real visitors from algorithmic noise.
The chaos started when Substack CEO Chris Best noticed something odd. Traffic from X had suddenly spiked after the platform's recent update, and he was initially thrilled. But the celebration was short-lived. "Most of the apparent lift is fake," Best admitted on X after digging into the numbers.
What's happening is a classic case of unintended consequences from product experimentation. X's new iOS browser now preloads link content in the background before users actually tap on anything. The system fetches destination pages automatically, triggering analytics tracking that makes it look like real people are visiting when they're not.
"What's happening here is a classic case of metrics distortion caused by product experimentation at the platform layer," Nick Eubanks, VP of owned media at digital marketing platform Semrush, told The Verge. "X's new browser is pre-loading link content in the background, meaning the system fetches the destination page before a human actually taps or views it."
The impact is rippling across the web ecosystem. Bluesky product manager Paul Frazee says X's preloading system has "ruined" their metrics for measuring logged-out daily active users. "X has started to open links in the background to make them load faster... but it has caused a bunch of other sites to get extra traffic that appears real," Frazee wrote.
This isn't just a technical glitch - it's fundamentally changing how web traffic gets measured. Publishers rely on accurate analytics to understand their audience, set advertising rates, and measure content performance. When phantom visits inflate those numbers, it skews everything from revenue projections to editorial decisions.
X product head Nikita Bier defended the change, saying it addresses creator complaints about posts with links getting lower reach. "This is because the web browser covers the post and people forget to Like or Reply," Bier explained. "So X doesn't get a clear signal whether the content is any good."
The new system collapses posts when you click their links, letting users interact with like, repost, and reply buttons while viewing the linked webpage. Previously, X's in-app browser would completely block the original post, hurting engagement with X content.
But what's good for X's engagement metrics is creating chaos for everyone else. Eubanks warns that this "inflates analytics in a few key ways," including artificially boosting click-through rates and tricking advertisers, publishers, and creators into thinking they're seeing more genuine traffic.
The timing couldn't be worse. Publishers are already grappling with the decline of social media traffic as platforms prioritize keeping users on-site rather than sending them elsewhere. Now they have to question whether the traffic they are getting is even real.
Interestingly, even with the fake traffic problem, some publishers are still seeing legitimate gains. Best noted that Substack "still saw an increase in traffic even after correcting for the fake views," suggesting X's interface changes might actually be working as intended for some content.
The broader implications extend beyond individual publishers. "We're entering an era where metrics inflation through interface tricks, preloading, autoplay, and AI summarization will blur the line between user engagement and machine behavior," Eubanks warns. This puts pressure on analytics companies to develop more sophisticated methods for detecting genuine human interaction.
For advertisers, the situation creates a trust problem. If platform changes can suddenly inflate traffic numbers without warning, how can brands accurately measure campaign performance or allocate budgets? The incident highlights the power social platforms wield over the broader web ecosystem.
The X situation also exposes how dependent publishers have become on platform-driven traffic, despite years of warnings about building audiences on rented land. When one platform tweaks its technical implementation, entire business models can suddenly look different on paper.
X's preloading experiment reveals how platform changes can ripple across the entire web ecosystem, distorting the metrics that publishers and advertisers rely on. As Eubanks notes, platforms that want credibility with creators and advertisers will need to be transparent about how engagement gets counted. The incident serves as a wake-up call for the industry to develop better methods for distinguishing genuine user behavior from automated platform activity - because this won't be the last time a major platform's technical decisions create unintended consequences for everyone else.
