The global memory shortage hits the MacBook Air ⁠66%

By Anthony Ha⁠72%

8/2/2026, 2:33:59 PM

BS Summary: This article contains 12 faulty reasoning types, including Availability Heuristic, Hasty Generalization, and Confirmation Bias, with Pessimism Bias as the most egregious example at 17.5% saturation with 29 hits. Analysis detected 227 faulty-reasoning hits from 166 analyzed words, generating a BS Score of 53.6% and a BS Rank of ⁠66% (9,020 of 26,281 articles). This article is worse (more manipulative) than 65.70% of the article peer group.

The global memory chip shortage is affecting the availability of Apple’s most popular Mac, according to Bloomberg’s Mark Gurman. 
Gurman said the shortage — caused by the demands of chip-hungry AI companies — had already affected Apple’s more niche computers, the Mac mini and Mac Studio. 
But it seems the company is now struggling to keep the MacBook Air in stock, with retailers saying that supply seems to be more constrained than ever before. 
Indeed, anyone trying to buy a MacBook Air from the Apple website will have to wait until the back half of August — or for certain configurations, until September. 
Gurman says Apple is working to address the issue by raising prices and sourcing memory from Chinese suppliers. 
Meanwhile, the company delayed its latest back-to-school promotion from June. 
And for the first time, the marketing material is more focused on the base model of the MacBook Pro. 
It even warns, “MacBook Air subject to availability.” 
Article reasoning-pattern comparisonThis article: 16.3%Anthony Ha: 3.8%TechCrunch: 2.8%Confirmation Bias16.3%This article: 0.0%Anthony Ha: 1.0%TechCrunch: 1.3%Anchoring Bias0.0%This article: 16.9%Anthony Ha: 4.5%TechCrunch: 3.3%Availability Heuristic16.9%This article: 0.0%Anthony Ha: 1.0%TechCrunch: 1.0%Representativeness Heuristic0.0%This article: 0.0%Anthony Ha: 0.9%TechCrunch: 0.5%Hindsight Bias0.0%This article: 10.8%Anthony Ha: 2.1%TechCrunch: 2.3%Overconfidence Bias10.8%This article: 11.4%Anthony Ha: 4.9%TechCrunch: 4.5%Framing Effect11.4%This article: 4.8%Anthony Ha: 1.0%TechCrunch: 0.6%Loss Aversion4.8%This article: 0.0%Anthony Ha: 0.4%TechCrunch: 0.6%Status Quo Bias0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.2%Sunk Cost Effect0.0%This article: 0.0%Anthony Ha: 2.9%TechCrunch: 4.6%Optimism Bias0.0%This article: 17.5%Anthony Ha: 2.1%TechCrunch: 1.4%Pessimism Bias17.5%This article: 4.8%Anthony Ha: 6.8%TechCrunch: 4.9%Negativity Bias4.8%This article: 0.0%Anthony Ha: 2.5%TechCrunch: 2.2%Self-Serving Bias0.0%This article: 0.0%Anthony Ha: 0.6%TechCrunch: 0.6%Fundamental Attribution Error0.0%This article: 0.0%Anthony Ha: 0.3%TechCrunch: 0.1%Actor-Observer Bias0.0%This article: 0.0%Anthony Ha: 0.5%TechCrunch: 0.5%In-Group Bias0.0%This article: 0.0%Anthony Ha: 0.5%TechCrunch: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.0%Anthony Ha: 1.0%TechCrunch: 3.1%Halo Effect0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.1%Horn Effect0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Anthony Ha: 1.7%TechCrunch: 2.1%Recency Bias0.0%This article: 0.0%Anthony Ha: 0.2%TechCrunch: 0.3%Primacy Effect0.0%This article: 0.0%Anthony Ha: 0.2%TechCrunch: 0.1%Blind-Spot Bias0.0%This article: 0.0%Anthony Ha: 0.5%TechCrunch: 0.3%Ad Hominem0.0%This article: 0.0%Anthony Ha: 3.2%TechCrunch: 0.5%Straw Man0.0%This article: 0.0%Anthony Ha: 2.6%TechCrunch: 3.9%Appeal to Authority0.0%This article: 0.0%Anthony Ha: 3.7%TechCrunch: 1.7%False Dilemma0.0%This article: 0.0%Anthony Ha: 1.3%TechCrunch: 0.7%Slippery Slope0.0%This article: 0.0%Anthony Ha: 0.2%TechCrunch: 0.2%Circular Reasoning0.0%This article: 16.9%Anthony Ha: 10.4%TechCrunch: 5.6%Hasty Generalization16.9%This article: 11.4%Anthony Ha: 0.6%TechCrunch: 0.2%Red Herring11.4%This article: 0.0%Anthony Ha: 0.2%TechCrunch: 1.0%Bandwagon0.0%This article: 0.0%Anthony Ha: 3.5%TechCrunch: 2.1%Appeal to Emotion0.0%This article: 0.0%Anthony Ha: 0.4%TechCrunch: 0.6%Begging the Question0.0%This article: 16.3%Anthony Ha: 3.4%TechCrunch: 2.6%Post Hoc (False Cause)16.3%This article: 0.0%Anthony Ha: 0.6%TechCrunch: 0.1%Tu Quoque0.0%This article: 0.0%Anthony Ha: 1.0%TechCrunch: 0.5%Burden of Proof0.0%This article: 0.0%Anthony Ha: 0.1%TechCrunch: 0.2%Appeal to Nature0.0%This article: 0.0%Anthony Ha: 0.5%TechCrunch: 0.3%Composition/Division0.0%This article: 0.0%Anthony Ha: 4.1%TechCrunch: 2.2%Anecdotal0.0%This article: 0.0%Anthony Ha: 0.1%TechCrunch: 0.1%No True Scotsman0.0%This article: 0.0%Anthony Ha: 1.2%TechCrunch: 1.7%Ambiguity (Equivocation)0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Anthony Ha: 0.4%TechCrunch: 0.2%Middle Ground0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.0%Personal Incredulity0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.1%Special Pleading0.0%This article: 0.0%Anthony Ha: 0.3%TechCrunch: 0.1%Genetic Fallacy0.0%This article: 4.8%Anthony Ha: 2.3%TechCrunch: 1.7%Unattributed Quote4.8%This article: 0.0%Anthony Ha: 1.0%TechCrunch: 0.6%Quote-first Misdirection0.0%This article: 4.8%Anthony Ha: 4.7%TechCrunch: 4.0%Biased Writer Voice4.8%This article: 0.0%Anthony Ha: 1.2%TechCrunch: 0.7%Indoctrination0.0%This article: 0.0%Anthony Ha: 0.0%TechCrunch: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Anthony Ha: 0.6%TechCrunch: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Anthony Ha: 1.3%TechCrunch: 4.4%Attempt to Sell a Product or S…0.0%

166 words analyzed.

Speakers

2speakers39%attributed speech102writer words
Selected voice

Mark Gurman

100%flagged-word coverage
45 attributed words70% of attributed speech90% writer coverage
0%5.0%10.0%Unattributed Quote-7.8 ptsWriter: 7.8%Mark Gurman: 0.0%0.0%Biased Writer Voice-7.8 ptsWriter: 7.8%Mark Gurman: 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.