The Verge⁠72%

Your Fitbit data can now connect directly to Apple Health ⁠19%

By Emma Roth⁠58%

8/3/2026, 2:24:23 PM

BS Summary: This article contains 12 faulty reasoning types, including Biased Writer Voice, Attempt to Sell a Product or Service, and Framing Effect, with Negativity Bias as the most egregious example at 29.4% saturation with 67 hits. Analysis detected 491 faulty-reasoning hits from 228 analyzed words, generating a BS Score of 28.4% and a BS Rank of ⁠19% (21,872 of 26,881 articles). This article is better (less manipulative) than 81.40% of the article peer group.

Google is rolling out an update that will finally allow you to connect your Fitbit workouts, steps, vitals, and other data to Apple Health, as reported earlier by 9to5Mac. 
With Google Health’s 5.05 update, you can now tap your profile icon, select “Partner apps,” and choose Apple Health to link your data directly. 
Previously, you could only import your Apple Health data into Google Health, but not the other way around. 
That meant using third-party apps — like Power Sync for Fitbit or Fitbit to Apple Health Sync — or some other kind of workaround to connect your Google Health information to Apple Health. 
Google Health replaced the Fitbit app in May. 
The new app had a bit of a rocky rollout after users raised concerns over the new AI health coach, user interface, and other issues, though Google has since addressed some of these complaints. 
Along with this update, Google announced that users in the US can use Smart Health Links to share medical records with a provider or family member. 
You can create a link by heading to the Health tab, choosing the “Medical” section, selecting “Shareable records,” and tapping the “plus” icon. 
From there, you can choose which data you want to include in the link and share it via a URL or QR code. 
Article reasoning-pattern comparisonThis article: 0.0%Emma Roth: 3.9%The Verge: 3.1%Confirmation Bias0.0%This article: 0.0%Emma Roth: 2.1%The Verge: 1.4%Anchoring Bias0.0%This article: 12.7%Emma Roth: 3.8%The Verge: 3.3%Availability Heuristic12.7%This article: 0.0%Emma Roth: 0.0%The Verge: 1.2%Representativeness Heuristic0.0%This article: 0.0%Emma Roth: 0.2%The Verge: 0.6%Hindsight Bias0.0%This article: 12.7%Emma Roth: 1.2%The Verge: 1.6%Overconfidence Bias12.7%This article: 20.6%Emma Roth: 8.3%The Verge: 5.3%Framing Effect20.6%This article: 0.0%Emma Roth: 1.0%The Verge: 0.9%Loss Aversion0.0%This article: 14.5%Emma Roth: 1.3%The Verge: 0.5%Status Quo Bias14.5%This article: 0.0%Emma Roth: 0.2%The Verge: 0.3%Sunk Cost Effect0.0%This article: 11.4%Emma Roth: 5.9%The Verge: 3.8%Optimism Bias11.4%This article: 0.0%Emma Roth: 0.9%The Verge: 2.1%Pessimism Bias0.0%This article: 29.4%Emma Roth: 7.3%The Verge: 8.4%Negativity Bias29.4%This article: 0.0%Emma Roth: 3.4%The Verge: 1.5%Self-Serving Bias0.0%This article: 0.0%Emma Roth: 1.1%The Verge: 0.7%Fundamental Attribution Error0.0%This article: 0.0%Emma Roth: 0.3%The Verge: 0.2%Actor-Observer Bias0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.5%In-Group Bias0.0%This article: 0.0%Emma Roth: 0.3%The Verge: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.0%Emma Roth: 2.4%The Verge: 2.5%Halo Effect0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.2%Horn Effect0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.0%Dunning-Kruger Effect0.0%This article: 14.9%Emma Roth: 2.8%The Verge: 1.6%Recency Bias14.9%This article: 0.0%Emma Roth: 0.9%The Verge: 0.4%Primacy Effect0.0%This article: 0.0%Emma Roth: 0.1%The Verge: 0.1%Blind-Spot Bias0.0%This article: 0.0%Emma Roth: 0.3%The Verge: 0.9%Ad Hominem0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.3%Straw Man0.0%This article: 0.0%Emma Roth: 5.5%The Verge: 3.3%Appeal to Authority0.0%This article: 0.0%Emma Roth: 0.6%The Verge: 1.6%False Dilemma0.0%This article: 0.0%Emma Roth: 0.3%The Verge: 1.0%Slippery Slope0.0%This article: 0.0%Emma Roth: 0.2%The Verge: 0.1%Circular Reasoning0.0%This article: 14.5%Emma Roth: 3.1%The Verge: 6.1%Hasty Generalization14.5%This article: 0.0%Emma Roth: 0.7%The Verge: 0.2%Red Herring0.0%This article: 0.0%Emma Roth: 0.2%The Verge: 0.6%Bandwagon0.0%This article: 0.0%Emma Roth: 1.3%The Verge: 3.5%Appeal to Emotion0.0%This article: 0.0%Emma Roth: 0.3%The Verge: 0.9%Begging the Question0.0%This article: 14.9%Emma Roth: 3.4%The Verge: 2.0%Post Hoc (False Cause)14.9%This article: 0.0%Emma Roth: 0.5%The Verge: 0.2%Tu Quoque0.0%This article: 0.0%Emma Roth: 2.4%The Verge: 0.6%Burden of Proof0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.2%Appeal to Nature0.0%This article: 0.0%Emma Roth: 0.2%The Verge: 0.2%Composition/Division0.0%This article: 0.0%Emma Roth: 1.5%The Verge: 3.4%Anecdotal0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.1%No True Scotsman0.0%This article: 0.0%Emma Roth: 2.9%The Verge: 2.0%Ambiguity (Equivocation)0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.1%Middle Ground0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.1%Personal Incredulity0.0%This article: 0.0%Emma Roth: 0.7%The Verge: 0.2%Special Pleading0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.2%Genetic Fallacy0.0%This article: 0.0%Emma Roth: 4.8%The Verge: 2.3%Unattributed Quote0.0%This article: 0.0%Emma Roth: 1.5%The Verge: 1.1%Quote-first Misdirection0.0%This article: 27.6%Emma Roth: 6.8%The Verge: 9.5%Biased Writer Voice27.6%This article: 20.6%Emma Roth: 0.9%The Verge: 0.9%Indoctrination20.6%This article: 0.0%Emma Roth: 0.0%The Verge: 1.3%Politically Left Leaning Bias0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.1%Politically Right Leaning Bias0.0%This article: 21.5%Emma Roth: 4.1%The Verge: 3.6%Attempt to Sell a Product or S…21.5%

228 words analyzed.

Speakers

3speakers28%attributed speech165writer words
Selected voice

9to5Mac

100%flagged-word coverage
29 attributed words46% of attributed speech83% writer coverage
0%50.0%100.0%Biased Writer Voice+79.4 ptsWriter: 20.6%9to5Mac: 100.0%100.0%Indoctrination-28.5 ptsWriter: 28.5%9to5Mac: 0.0%0.0%Attempt to Sell a Product -13.9 ptsWriter: 13.9%9to5Mac: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.