Pixel Watch permission error won’t go away, but there’s a weird fix


If you own a Pixel Watch, there’s a chance you have seen a stubborn permission prompt carrying the Fitbit logo on your wrist. It asks for access to your sensor data and refuses to leave no matter how many times you dismiss it.

The frustrating part is that most people hit by this have already granted every permission the watch could possibly want. Everything is toggled on, and yet the warning keeps persisting. 

Several users on Reddit have also pointed out that the Health app is still recording their sensor data without any trouble, which suggests the error message is crying wolf. Others have not been so lucky, and report that their data has stopped syncing to the phone entirely.

Is your watch model the problem?

There’s no clear pattern here linking the bug to one specific device. The user who first raised the issue mentioned owning the watch for over two years, which places it at a Pixel Watch 3 or an older model, but the complaints are not neatly limited to any single generation.

What we do know is that the error started popping up only in the last few weeks. That timing has led many users to point their fingers at a recent Google Health update, and honestly, that’s the most reasonable explanation available right now.

So how do you fix it?

Here’s where it gets strange. Factory resetting your watch will not help, and neither will any of the usual permission juggling. A user “Suelg” wrote on the Google support forum that he went through the entire shenanigan of resetting his watch, but it didn’t fix the issue. 

Instead, what fixed it was enabling notifications for the Health app on the watch itself. That is a weird fix, but it works, and several users have corroborated his fix. 

So, if you are also facing the same issue, turn on notifications for the Health app on your Pixel Watch, and the permission error should go away. Nobody can explain why a notification toggle fixes a sensor permission warning. But if it works, it works.



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Recent Reviews


YouTube has an AI slop problem, and its crackdown is catching legitimate creators in the crossfire. Faceless channels, where no human host ever appears on screen, have existed for years and are not inherently AI-generated.

Many are run by solo creators who simply prefer to stay anonymous. The problem is that AI tools made it easy to flood the platform with low-effort faceless content at scale, and YouTube’s algorithm is now penalizing the format as a whole.

How bad is the AI slop problem on YouTube?

A Kapwing study found that roughly 21% of the first 500 videos recommended to a new YouTube account were classified as AI slop, while 33% fell into a broader brainrot category. The problem extends to children, too, as more than 40% of YouTube Shorts recommended to kids in a 15-minute session contained low-quality AI content.

YouTube’s response has been to tweak its algorithm to favor videos with real human faces on camera, which is hitting faceless creators even when their content is entirely human-made.

How is YouTube tackling its AI slop problem?

YouTube is now testing a new pop-up on mobile that asks viewers to rate whether a video feels like AI slop, on a scale from “not at all” to “extremely.” The idea sounds reasonable, but crowdsourcing AI detection has real problems. People are bad at spotting AI content, and they are getting worse at it as AI capabilities continue to improve.

There are also legitimate concerns that YouTube could use this viewer feedback as training data for its own AI models, potentially making future AI-generated content even harder to spot.

🚨 Did you just see what YouTube did?

YouTube isn’t banning AI slop.. They’re making you label it so they can train their next model to not look like slop.

Read that again…

You flag the bad AI content. YouTube collects it. Google feeds it into Veo 4… Then next year their… https://t.co/8UC2J3mjjv pic.twitter.com/mIrTChqC1b

— Tuki (@TukiFromKL) March 17, 2026

Meanwhile, faceless creators are scrambling to adapt. According to The Hollywood Reporter, some are hiring cheap on-camera hosts through platforms like Fiverr and Upwork. Others are doubling down on niche educational content, which has held up better than broad content farms.

The AI text-to-video space is still valued at enormous sums, with Higgsfield AI alone sitting at $1 billion, but on YouTube, the math for faceless creators is getting harder to work out every month.



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