Dish & Tell: The story behind Good to Eat’s BBQ fried chicken cutlet 60%

By Madeline Taub34%

7/16/2026, 7:00:00 PM

BS Summary: This article contains 23 faulty reasoning types, including Optimism Bias, Appeal to Authority, and Appeal to Emotion, with Attempt to Sell a Product or Service as the most egregious example at 40.2% saturation with 145 hits. Analysis detected 1,040 faulty-reasoning hits from 361 analyzed words, generating a BS Score of 56% and a BS Rank of 60% (8,852 of 21,887 articles). This article is worse (more manipulative) than 59.60% of the article peer group.

The smoky, slightly sweet, deep-roasted garlicky aroma of the BBQ fried chicken cutlet floats through the restaurant  a smell that Good to Eat Taiwanese Cuisine executive chef and co-owner Tony Tung says is distinctive for those from Taiwan. 
“If you’re Taiwanese and smell this, you will immediately feel like you’re going to the night market,” Tung said. 
This is a classic dish from Taiwanese night markets, and one that Tung said was a big part of her childhood. 
After school, she and her brother would split one chicken cutlet before they went home. 
Making the street-market specialty is a multi-step process. 
First, you punch the chicken down so it’s even. 
Once the chicken is ready, it marinates overnight in soy sauce, vinegar, garlic, ginger, egg, white pepper, and sweet potato starch. 
After marinating, the cutlet is covered in sweet potato starch again and deep-fried. 
Then the cutlet is dipped in house-made sweet soy sauce before it’s grilled and brushed with Taiwanese sha-cha-style barbecue sauce. 
After the cutlet is done, it is sliced and topped with green onion and sesame seeds. 
The sweet potato starch gives the fried cutlet a mochi-esque, satisfying chew, while the added grilling makes sure the outside stays crispy. 
Tung said the dish pairs best with the Original Pattern rice lager or Kirinzan sake. 
When people ask me where to eat in the Bay, Good to Eat always makes the list. 
Almost four years after leaving its pop-up days at Original Pattern Brewing behind for an Emeryville brick-and-mortar space, it’s clear GTE has expanded and grown its vision. 
GTE is not just dumplings anymore, shedding that part of the name. 
Tung said that she first made the chicken cutlet for a summer barbecue the restaurant hosted the first year open in Emeryville. 
Luckily, Tung made the dish a staple of GTE’s frequently evolving menu. 
You will not want to miss a taste and a chance to smell this chewy-yet-crispy, Taiwanese street food. 
Bring a friend to split it just like Tung used to  which will leave room to try other menu items alongside. 
Article reasoning-pattern comparisonThis article: 4.2%Madeline Taub: 2.0%Berkeleyside: 2.6%Confirmation Bias4.2%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 1.2%Anchoring Bias0.0%This article: 0.0%Madeline Taub: 1.0%Berkeleyside: 3.2%Availability Heuristic0.0%This article: 0.0%Madeline Taub: 2.2%Berkeleyside: 1.1%Representativeness Heuristic0.0%This article: 7.5%Madeline Taub: 0.7%Berkeleyside: 0.3%Hindsight Bias7.5%This article: 0.0%Madeline Taub: 0.6%Berkeleyside: 1.0%Overconfidence Bias0.0%This article: 5.3%Madeline Taub: 7.3%Berkeleyside: 4.1%Framing Effect5.3%This article: 5.0%Madeline Taub: 1.3%Berkeleyside: 0.7%Loss Aversion5.0%This article: 9.4%Madeline Taub: 1.5%Berkeleyside: 0.4%Status Quo Bias9.4%This article: 7.5%Madeline Taub: 1.0%Berkeleyside: 0.2%Sunk Cost Effect7.5%This article: 28.3%Madeline Taub: 6.6%Berkeleyside: 2.7%Optimism Bias28.3%This article: 5.0%Madeline Taub: 0.5%Berkeleyside: 0.9%Pessimism Bias5.0%This article: 0.0%Madeline Taub: 2.4%Berkeleyside: 5.6%Negativity Bias0.0%This article: 4.7%Madeline Taub: 3.4%Berkeleyside: 1.2%Self-Serving Bias4.7%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.6%Fundamental Attribution Error0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.1%Actor-Observer Bias0.0%This article: 5.3%Madeline Taub: 3.2%Berkeleyside: 0.9%In-Group Bias5.3%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.4%Out-Group Homogeneity Bias0.0%This article: 10.8%Madeline Taub: 2.6%Berkeleyside: 7.6%Halo Effect10.8%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.0%Horn Effect0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.0%Dunning-Kruger Effect0.0%This article: 4.7%Madeline Taub: 0.7%Berkeleyside: 1.0%Recency Bias4.7%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.4%Primacy Effect0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.0%Blind-Spot Bias0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.2%Ad Hominem0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.3%Straw Man0.0%This article: 26.9%Madeline Taub: 3.5%Berkeleyside: 3.8%Appeal to Authority26.9%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 1.1%False Dilemma0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.5%Slippery Slope0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.2%Circular Reasoning0.0%This article: 10.0%Madeline Taub: 2.9%Berkeleyside: 4.7%Hasty Generalization10.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.1%Red Herring0.0%This article: 9.7%Madeline Taub: 0.9%Berkeleyside: 0.8%Bandwagon9.7%This article: 22.4%Madeline Taub: 6.2%Berkeleyside: 5.6%Appeal to Emotion22.4%This article: 0.0%Madeline Taub: 0.6%Berkeleyside: 0.5%Begging the Question0.0%This article: 10.8%Madeline Taub: 1.0%Berkeleyside: 2.1%Post Hoc (False Cause)10.8%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.0%Tu Quoque0.0%This article: 0.0%Madeline Taub: 1.0%Berkeleyside: 0.3%Burden of Proof0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.1%Appeal to Nature0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.3%Composition/Division0.0%This article: 20.8%Madeline Taub: 2.5%Berkeleyside: 3.4%Anecdotal20.8%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.0%No True Scotsman0.0%This article: 14.1%Madeline Taub: 1.6%Berkeleyside: 1.2%Ambiguity (Equivocation)14.1%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Madeline Taub: 0.6%Berkeleyside: 0.0%Middle Ground0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.0%Personal Incredulity0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.1%Special Pleading0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.0%Genetic Fallacy0.0%This article: 5.3%Madeline Taub: 4.9%Berkeleyside: 1.1%Unattributed Quote5.3%This article: 0.0%Madeline Taub: 1.3%Berkeleyside: 0.9%Quote-first Misdirection0.0%This article: 14.1%Madeline Taub: 5.3%Berkeleyside: 5.1%Biased Writer Voice14.1%This article: 16.3%Madeline Taub: 4.1%Berkeleyside: 1.7%Indoctrination16.3%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.7%Politically Left Leaning Bias0.0%This article: 0.0%Madeline Taub: 0.0%Berkeleyside: 0.1%Politically Right Leaning Bias0.0%This article: 40.2%Madeline Taub: 9.4%Berkeleyside: 3.0%Attempt to Sell a Product or S…40.2%

361 words analyzed.

Speakers

1speaker16%attributed speech305writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 0.0% coverageWriter's voice • 39 words • 100.0% coverageTony Tung • 19 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageTony Tung • 15 words • 100.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 12 words • 100.0% coverageTony Tung • 22 words • 0.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverage
Selected voice

Tony Tung

100%flagged-word coverage
56 attributed words100% of attributed speech67% writer coverage
0%22.5%45.0%Attempt to Sell a Product -15.8 ptsWriter: 42.6%Tony Tung: 26.8%26.8%Unattributed Quote+33.9 ptsWriter: 0.0%Tony Tung: 33.9%33.9%Indoctrination+20.8 ptsWriter: 13.1%Tony Tung: 33.9%33.9%Biased Writer Voice-16.7 ptsWriter: 16.7%Tony Tung: 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.