This slushie machine was a lifesaver during NYC's heat wave 69%

By Lauren Forristal65%

7/11/2026, 10:00:00 PM

Keywords: Ninja, Slushies, Hardware

BS Summary: This article contains 24 faulty reasoning types, including Biased Writer Voice, Halo Effect, and Appeal to Emotion, with Attempt to Sell a Product or Service as the most egregious example at 57.2% saturation with 309 hits. Analysis detected 1,315 faulty-reasoning hits from 540 analyzed words, generating a BS Score of 61.9% and a BS Rank of 69% (6,946 of 21,887 articles). This article is worse (more manipulative) than 68.30% of the article peer group.

Last weekend’s brutal NYC heat wave had me craving a frozen drink almost every afternoon. 
Normally, that would mean sweating through a walk to 7-Eleven for a slurpee. 
This time, though, I stayed home and put the new Ninja Slushi Twist to the test. 
Ninja’s latest slushie machine builds on the popularity of the original Slushi, but with a big upgrade. 
Instead of a single mixing chamber, the Slushi Twist has two 48-ounce vessels that can make two completely different frozen drinks at the same time. 
Beyond classic slushies, it can also make frappés, milkshakes, frozen coffees, and smoothies  and because the two sides work independently, you can even keep one alcohol-free for mocktails while the other side mixes up cocktails. 
For entertaining, this machine solves a real problem. 
Instead of making multiple batches or asking everyone to agree on one flavor, both chambers run simultaneously, making enough frozen drinks for a crowd. 
Ninja says it can make more than 10 drinks per batch  plenty for summer parties or family gatherings. 
The standout feature is what Ninja calls “Dual SlushAssist” technology. 
In plain terms, the machine senses what’s in each chamber and adjusts the freezing temperature for that side on its own. 
That means a creamy milkshake can stay smooth on one side while a fruit slush freezes to the perfect icy consistency on the other. 
My favorite feature, though, is the twist dispenser. 
You can pour each drink separately or turn the dial on the drip tray to swirl both flavors together into one glass, which is great for making layered drinks that look way more impressive than the effort they take. 
Cleaning is easy, too. 
Just hit the rinse button and keep adding warm water until it runs clear. 
There are two things to keep in mind before buying. 
The Slushi Twist is noticeably larger than the original model, so you’ll want to make sure you have enough counter or storage space. 
At $399.99, it’s also a significant investment. 
If you only make the occasional frozen drink, it may be more machine than you need. 
But for larger households or anyone who loves hosting, the dual-vessel design makes a strong case for itself. 
Hardware , Ninja , slushies 
When you purchase through links in our articles, we may earn a small commission . 
This doesn’t affect our editorial independence. 
Lauren covers media, streaming, apps and platforms at TechCrunch. 
You can contact or verify outreach from Lauren by emailing laurenf.techcrunch@gmail.com or via encrypted message at laurenforris22.25 on Signal. 
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Article reasoning-pattern comparisonThis article: 3.3%Lauren Forristal: 0.9%TechCrunch: 3.0%Confirmation Bias3.3%This article: 0.0%Lauren Forristal: 0.2%TechCrunch: 1.4%Anchoring Bias0.0%This article: 4.6%Lauren Forristal: 2.4%TechCrunch: 3.5%Availability Heuristic4.6%This article: 0.0%Lauren Forristal: 1.2%TechCrunch: 1.1%Representativeness Heuristic0.0%This article: 0.0%Lauren Forristal: 0.4%TechCrunch: 0.6%Hindsight Bias0.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 2.5%Overconfidence Bias0.0%This article: 4.4%Lauren Forristal: 6.1%TechCrunch: 4.8%Framing Effect4.4%This article: 4.4%Lauren Forristal: 0.9%TechCrunch: 0.6%Loss Aversion4.4%This article: 6.5%Lauren Forristal: 0.6%TechCrunch: 0.6%Status Quo Bias6.5%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.2%Sunk Cost Effect0.0%This article: 10.2%Lauren Forristal: 6.8%TechCrunch: 4.9%Optimism Bias10.2%This article: 3.0%Lauren Forristal: 0.0%TechCrunch: 1.3%Pessimism Bias3.0%This article: 5.7%Lauren Forristal: 0.8%TechCrunch: 5.0%Negativity Bias5.7%This article: 4.4%Lauren Forristal: 0.4%TechCrunch: 2.1%Self-Serving Bias4.4%This article: 0.0%Lauren Forristal: 0.3%TechCrunch: 0.5%Fundamental Attribution Error0.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.1%Actor-Observer Bias0.0%This article: 0.0%Lauren Forristal: 0.2%TechCrunch: 0.6%In-Group Bias0.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.3%Out-Group Homogeneity Bias0.0%This article: 20.7%Lauren Forristal: 4.2%TechCrunch: 3.5%Halo Effect20.7%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.1%Horn Effect0.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.0%Dunning-Kruger Effect0.0%This article: 6.7%Lauren Forristal: 4.6%TechCrunch: 2.3%Recency Bias6.7%This article: 0.0%Lauren Forristal: 0.2%TechCrunch: 0.3%Primacy Effect0.0%This article: 0.0%Lauren Forristal: 0.1%TechCrunch: 0.1%Blind-Spot Bias0.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.3%Ad Hominem0.0%This article: 0.0%Lauren Forristal: 0.2%TechCrunch: 0.6%Straw Man0.0%This article: 6.7%Lauren Forristal: 4.1%TechCrunch: 4.4%Appeal to Authority6.7%This article: 7.4%Lauren Forristal: 2.1%TechCrunch: 1.7%False Dilemma7.4%This article: 0.0%Lauren Forristal: 0.5%TechCrunch: 0.7%Slippery Slope0.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.2%Circular Reasoning0.0%This article: 11.7%Lauren Forristal: 3.1%TechCrunch: 6.0%Hasty Generalization11.7%This article: 0.0%Lauren Forristal: 0.2%TechCrunch: 0.2%Red Herring0.0%This article: 6.9%Lauren Forristal: 1.7%TechCrunch: 1.1%Bandwagon6.9%This article: 18.1%Lauren Forristal: 2.8%TechCrunch: 2.2%Appeal to Emotion18.1%This article: 3.0%Lauren Forristal: 1.5%TechCrunch: 0.6%Begging the Question3.0%This article: 0.0%Lauren Forristal: 3.6%TechCrunch: 2.9%Post Hoc (False Cause)0.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.1%Tu Quoque0.0%This article: 1.1%Lauren Forristal: 0.3%TechCrunch: 0.5%Burden of Proof1.1%This article: 0.0%Lauren Forristal: 0.2%TechCrunch: 0.2%Appeal to Nature0.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.3%Composition/Division0.0%This article: 12.0%Lauren Forristal: 0.0%TechCrunch: 2.4%Anecdotal12.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.1%No True Scotsman0.0%This article: 17.6%Lauren Forristal: 2.2%TechCrunch: 2.0%Ambiguity (Equivocation)17.6%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Lauren Forristal: 0.3%TechCrunch: 0.2%Middle Ground0.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.0%Personal Incredulity0.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.1%Special Pleading0.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.1%Genetic Fallacy0.0%This article: 0.0%Lauren Forristal: 2.1%TechCrunch: 2.0%Unattributed Quote0.0%This article: 1.5%Lauren Forristal: 0.2%TechCrunch: 0.7%Quote-first Misdirection1.5%This article: 23.1%Lauren Forristal: 3.5%TechCrunch: 4.6%Biased Writer Voice23.1%This article: 3.1%Lauren Forristal: 0.8%TechCrunch: 0.8%Indoctrination3.1%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Lauren Forristal: 0.0%TechCrunch: 0.1%Politically Right Leaning Bias0.0%This article: 57.2%Lauren Forristal: 22.6%TechCrunch: 4.9%Attempt to Sell a Product or S…57.2%

540 words analyzed.

Speakers

3speakers17%attributed speech450writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 10 words • 100.0% coverageWriter's voice • 15 words • 100.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageNinja • 17 words • 100.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 24 words • 100.0% coverageNinja • 19 words • 100.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 39 words • 100.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 14 words • 100.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 15 words • 100.0% coverageWriter's voice • 6 words • 100.0% coverageTechCrunch • 9 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageTechCrunch • 11 words • 100.0% coverageTechCrunch • 18 words • 100.0% coverageTechCrunch • 6 words • 100.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageElon Musk • 10 words • 0.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverage
Selected voice

Ninja

100%flagged-word coverage
36 attributed words40% of attributed speech82% writer coverage
0%50.0%100.0%Attempt to Sell a Product +47.1 ptsWriter: 52.9%Ninja: 100.0%100.0%Biased Writer Voice+23.2 ptsWriter: 24.0%Ninja: 47.2%47.2%Indoctrination-3.8 ptsWriter: 3.8%Ninja: 0.0%0.0%Quote-first Misdirection-1.8 ptsWriter: 1.8%Ninja: 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.