9to5Mac58%

iOS 27 beta 4 adds a useful Apple TV app feature, here’s how it works 71%

By Chance Miller25%

7/21/2026, 12:25:03 AM

BS Summary: This article contains 15 faulty reasoning types, including Attempt to Sell a Product or Service, Optimism Bias, and Appeal to Authority, with Framing Effect as the most egregious example at 23.4% saturation with 63 hits. Analysis detected 469 faulty-reasoning hits from 269 analyzed words, generating a BS Score of 63.7% and a BS Rank of 71% (6,406 of 21,887 articles). This article is worse (more manipulative) than 70.70% of the article peer group.

Apple released iOS 27 beta 4 today, and it comes with a useful new “Automatic Downloads” feature in the Apple TV app. 
Here’s how it works. 
Automatic downloads for Apple TV 
As spotted by Aaron Perris, iOS 27 beta 4 adds this new option in the “TV” section of the Settings app. 
When enabled, the feature will ensure that the next episodes of a show you’re watching in the Apple TV app are always downloaded and ready for you to watch. 
“The next 2 episodes of shows you start in Continue Watching will automatically download, then delete once you finish,” Apple explains. 
Here’s how to enable the new feature in iOS 27 beta 5: 
1. 
Open the Settings app 
2. 
Scroll down to “Apps” 
3. 
Find “TV” in the list of apps 
4. 
Toggle on the new “Automatic Downloads” feature 
It’s a clever new feature that should mean you’ll never find yourself somewhere without the ability to keep watching your favorite Apple TV show. 
The key, however, is that it works reliably  something I’ll be keeping an eye on as I continue testing iOS 27. 
Have you spotted anything else new in iOS 27 beta 4? 
Let us know down in the comments. 
My favorite iPhone accessories: 
Anker Nano USB-C wall charger with built-in screen 
AirPods Pro 3: Check the current sale price 
Charge all your Apple gear at the same time 
Bring wireless CarPlay to any car 
USB-C cable that shows how fast you’re charging 
Follow Chance: Threads, Bluesky, Instagram, and Mastodon. 
Article reasoning-pattern comparisonThis article: 0.0%Chance Miller: 2.3%9to5Mac: 2.7%Confirmation Bias0.0%This article: 0.0%Chance Miller: 0.5%9to5Mac: 2.2%Anchoring Bias0.0%This article: 0.0%Chance Miller: 2.1%9to5Mac: 2.8%Availability Heuristic0.0%This article: 0.0%Chance Miller: 0.6%9to5Mac: 1.0%Representativeness Heuristic0.0%This article: 0.0%Chance Miller: 0.3%9to5Mac: 0.3%Hindsight Bias0.0%This article: 13.0%Chance Miller: 3.6%9to5Mac: 2.9%Overconfidence Bias13.0%This article: 23.4%Chance Miller: 3.9%9to5Mac: 5.3%Framing Effect23.4%This article: 11.9%Chance Miller: 0.9%9to5Mac: 1.3%Loss Aversion11.9%This article: 10.8%Chance Miller: 0.4%9to5Mac: 0.7%Status Quo Bias10.8%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.0%Sunk Cost Effect0.0%This article: 17.8%Chance Miller: 3.7%9to5Mac: 3.4%Optimism Bias17.8%This article: 8.2%Chance Miller: 1.4%9to5Mac: 1.9%Pessimism Bias8.2%This article: 0.0%Chance Miller: 1.9%9to5Mac: 4.6%Negativity Bias0.0%This article: 0.0%Chance Miller: 1.8%9to5Mac: 0.7%Self-Serving Bias0.0%This article: 0.0%Chance Miller: 0.4%9to5Mac: 0.4%Fundamental Attribution Error0.0%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.0%Actor-Observer Bias0.0%This article: 0.0%Chance Miller: 0.1%9to5Mac: 0.3%In-Group Bias0.0%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.1%Out-Group Homogeneity Bias0.0%This article: 1.5%Chance Miller: 2.4%9to5Mac: 3.5%Halo Effect1.5%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.0%Horn Effect0.0%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Chance Miller: 1.1%9to5Mac: 1.8%Recency Bias0.0%This article: 8.2%Chance Miller: 0.5%9to5Mac: 0.4%Primacy Effect8.2%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.0%Blind-Spot Bias0.0%This article: 0.0%Chance Miller: 0.2%9to5Mac: 0.1%Ad Hominem0.0%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.1%Straw Man0.0%This article: 15.6%Chance Miller: 2.3%9to5Mac: 3.6%Appeal to Authority15.6%This article: 0.0%Chance Miller: 0.3%9to5Mac: 1.4%False Dilemma0.0%This article: 0.0%Chance Miller: 0.3%9to5Mac: 0.6%Slippery Slope0.0%This article: 0.0%Chance Miller: 0.1%9to5Mac: 0.2%Circular Reasoning0.0%This article: 11.2%Chance Miller: 4.8%9to5Mac: 4.8%Hasty Generalization11.2%This article: 0.0%Chance Miller: 0.1%9to5Mac: 0.1%Red Herring0.0%This article: 6.7%Chance Miller: 0.6%9to5Mac: 0.8%Bandwagon6.7%This article: 0.0%Chance Miller: 1.2%9to5Mac: 2.2%Appeal to Emotion0.0%This article: 0.0%Chance Miller: 0.5%9to5Mac: 0.6%Begging the Question0.0%This article: 0.0%Chance Miller: 1.5%9to5Mac: 1.9%Post Hoc (False Cause)0.0%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.0%Tu Quoque0.0%This article: 0.0%Chance Miller: 0.3%9to5Mac: 0.4%Burden of Proof0.0%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.0%Appeal to Nature0.0%This article: 0.0%Chance Miller: 0.3%9to5Mac: 0.1%Composition/Division0.0%This article: 0.0%Chance Miller: 2.5%9to5Mac: 2.4%Anecdotal0.0%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.0%No True Scotsman0.0%This article: 14.1%Chance Miller: 1.4%9to5Mac: 1.9%Ambiguity (Equivocation)14.1%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Chance Miller: 0.1%9to5Mac: 0.1%Middle Ground0.0%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.1%Personal Incredulity0.0%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.2%Special Pleading0.0%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.1%Genetic Fallacy0.0%This article: 7.8%Chance Miller: 1.2%9to5Mac: 2.4%Unattributed Quote7.8%This article: 0.0%Chance Miller: 0.4%9to5Mac: 0.4%Quote-first Misdirection0.0%This article: 0.0%Chance Miller: 5.4%9to5Mac: 6.0%Biased Writer Voice0.0%This article: 5.6%Chance Miller: 2.8%9to5Mac: 2.1%Indoctrination5.6%This article: 0.0%Chance Miller: 0.1%9to5Mac: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Chance Miller: 0.0%9to5Mac: 0.0%Politically Right Leaning Bias0.0%This article: 18.6%Chance Miller: 10.1%9to5Mac: 15.7%Attempt to Sell a Product or S…18.6%

269 words analyzed.

Speakers

2speakers16%attributed speech227writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 15 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageAaron Perris • 21 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageApple • 21 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 6 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 7 words • 0.0% coverage
Selected voice

Apple

100%flagged-word coverage
21 attributed words50% of attributed speech94% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%Apple: 100.0%100.0%Attempt to Sell a Product -22.0 ptsWriter: 22.0%Apple: 0.0%0.0%Indoctrination-6.6 ptsWriter: 6.6%Apple: 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.