Confusion and uncertainty in Midtown following building’s near collapse 5%

By Kerry Burke34% Roni Jacobson62%

7/7/2026, 10:22:17 PM

BS Summary: This article contains 20 faulty reasoning types, including Availability Heuristic, Unattributed Quote, and Anecdotal, with Negativity Bias as the most egregious example at 20.8% saturation with 176 hits. Analysis detected 906 faulty-reasoning hits from 845 analyzed words, generating a BS Score of 20.5% and a BS Rank of 5% (19,419 of 20,370 articles). This article is better (less manipulative) than 95.30% of the article peer group.

Denizens of Midtown Manhattan scrambled to figure out accommodations after a high-rise building near Times Square threatened to collapse on Tuesday, prompting mass evacuations and uncertainty about when people will be allowed to return to their homes and businesses in the densely populated area, officials said. 
The former Pfizer office building, located at 235 E. 42nd St. near Second Ave., was undergoing a massive renovation designed to turn it into housing when two interior columns began to buckle around 8 a.m., leading the FDNY to evacuate the area and set up a “frozen zone” closed to all pedestrian and vehicular traffic from E. 40th to E. 45th St. between First and Third Aves. 
In addition to the unstable building, seven buildings were evacuated, including the Israeli Consulate on Second Ave. and the Kennedy International School, a private school that was running a summer camp for Pre-K through fifth grade. 
Buildings located at 231 E. 43rd St., 217 E. 43rd St., 211 E. 43rd St., and 681-701 Third Ave. were also evacuated. 
Asked for an estimate of how long the evacuation orders will last, an FDNY spokesperson said: “There is no timeline because it is unknown how long it will take to make the building structurally secure.” 
The mayor’s office was similarly noncommittal. 
“We are continuing to evaluate and determine additional buildings that had been evacuated that can be repopulated,” a city official said when asked the same question. 
“Additionally, as of now, we are concluding the prep work and staging, and the installation of the temporary shoring will begin soon after.” 
Meanwhile, those affected by the evacuations were left wondering how long that would take and hustling to figure out where to go. 
“I’ve got two small kids and it’s my birthday,“ grumbled Simba Machona, 41 who was spotted dragging suitcases across 42nd St. with his family in tow. 
Machona, an accountant who is originally from Queens but now lives in California, was staying at the Westin Hotel across the street from the collapsing building with his family when they were ordered to evacuate. 
“They got us out of our hotel with no communication whatsoever. 
I used to live here, but Im never coming back.” 
Others were more upbeat. 
“We were out when it happened,“ said Nitin Bhateja,40 a bank manager from Australia visiting New York with his wife and two kids. 
“We got an email saying that we were being evacuated. 
And it’s going late into the night.” 
“Now, we’re going to have to find a hotel room somewhere like Times Square,“ he said as he, his wife and two daughters struggled with their luggage. 
“It really breaks up our holiday, but it gives us a nice little story.“ 
Ronny Ramos, a facility manager who lives in the Summit apartment building on 44th St. with his wife and sons, got an email early this morning from building management telling them to scram. 
“They sent out a notification. 
It was a very short notification stating it was an emergency and we had to vacate. 
I wasn’t prepared for this,” Ramos said. 
“I left early in the morning. 
The notice was sent at 8:56 and I was already at work. 
My family was home. 
Did we have a to-go bag? 
We did not. 
We will have one in the future.” 
Ramos’ wife, who declined to give her name, remembered their essential documents. 
“I don’t think anyone really knew the severity of it. 
I got my kids out. 
I brought my work computer because I’m working remotely and the birth certificates and social security cards and our IDs,” she said. 
“I was working from home and I went out to the gym,” said Danny Gardiner, 27, a tech worker whose building on 44th St. was evacuated when he stepped out. 
“Now I can’t get back into my apartment and get my stuff,” he said. 
“They haven’t told me anything,“ he said. 
“I’m stuck out here in my gym clothes.” 
“I’m going to have to rely on friends and family,” he said when asked about where he planned to sleep tonight. 
“I guess I’ll have to figure something out.” 
“We came home from work at 5 pm,“ said Irina Wirjan, 29, an ad tech worker who was walking toward their vacated building on E. 44th St. with her fiancé, Justin Halim, 28, a resident doctor in the Bronx. 
“At first, the NYPD wasn’t letting us in, but a neighbor came out and convinced them to let us pass the barricades,” she said. 
“I heard the sirens at 8 AM but then I left for work,“ she said. 
“I wasn’t sure what was going on.“ 
“We grabbed our dog, Bean,” a nine year-old Shih Tzu. 
“And some toiletries,” after being briefly let back into their apartment. 
“We’re hoping to check back in a couple of hours and spend the night in our own home” Wirjan said. 
As of 7:20 p.m. only residents of 222 E. 44th St. had been told it was safe to return, according to a city official. 
Article reasoning-pattern comparisonThis article: 0.0%Kerry Burke: 2.1%newyorkdailynews: 3.2%Confirmation Bias0.0%This article: 1.4%Kerry Burke: 0.9%newyorkdailynews: 0.8%Anchoring Bias1.4%This article: 13.0%Kerry Burke: 4.1%newyorkdailynews: 3.3%Availability Heuristic13.0%This article: 0.0%Kerry Burke: 0.8%newyorkdailynews: 1.1%Representativeness Heuristic0.0%This article: 0.0%Kerry Burke: 0.6%newyorkdailynews: 1.0%Hindsight Bias0.0%This article: 0.0%Kerry Burke: 0.5%newyorkdailynews: 1.3%Overconfidence Bias0.0%This article: 0.7%Kerry Burke: 5.6%newyorkdailynews: 6.1%Framing Effect0.7%This article: 2.6%Kerry Burke: 0.4%newyorkdailynews: 0.4%Loss Aversion2.6%This article: 2.5%Kerry Burke: 0.5%newyorkdailynews: 0.5%Status Quo Bias2.5%This article: 0.8%Kerry Burke: 0.1%newyorkdailynews: 0.2%Sunk Cost Effect0.8%This article: 6.7%Kerry Burke: 1.0%newyorkdailynews: 2.8%Optimism Bias6.7%This article: 3.0%Kerry Burke: 1.1%newyorkdailynews: 1.2%Pessimism Bias3.0%This article: 20.8%Kerry Burke: 10.1%newyorkdailynews: 9.7%Negativity Bias20.8%This article: 2.7%Kerry Burke: 0.9%newyorkdailynews: 1.6%Self-Serving Bias2.7%This article: 1.2%Kerry Burke: 1.3%newyorkdailynews: 1.5%Fundamental Attribution Error1.2%This article: 0.0%Kerry Burke: 0.2%newyorkdailynews: 0.3%Actor-Observer Bias0.0%This article: 0.0%Kerry Burke: 1.2%newyorkdailynews: 1.3%In-Group Bias0.0%This article: 0.0%Kerry Burke: 0.5%newyorkdailynews: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Kerry Burke: 4.1%newyorkdailynews: 4.0%Halo Effect0.0%This article: 0.0%Kerry Burke: 0.5%newyorkdailynews: 0.5%Horn Effect0.0%This article: 0.0%Kerry Burke: 0.0%newyorkdailynews: 0.0%Dunning-Kruger Effect0.0%This article: 3.3%Kerry Burke: 1.2%newyorkdailynews: 1.5%Recency Bias3.3%This article: 0.0%Kerry Burke: 0.3%newyorkdailynews: 0.4%Primacy Effect0.0%This article: 0.0%Kerry Burke: 0.0%newyorkdailynews: 0.0%Blind-Spot Bias0.0%This article: 0.0%Kerry Burke: 0.3%newyorkdailynews: 1.2%Ad Hominem0.0%This article: 0.0%Kerry Burke: 0.1%newyorkdailynews: 0.2%Straw Man0.0%This article: 7.0%Kerry Burke: 3.6%newyorkdailynews: 3.2%Appeal to Authority7.0%This article: 0.0%Kerry Burke: 0.3%newyorkdailynews: 1.1%False Dilemma0.0%This article: 0.0%Kerry Burke: 0.3%newyorkdailynews: 0.3%Slippery Slope0.0%This article: 0.0%Kerry Burke: 0.1%newyorkdailynews: 0.1%Circular Reasoning0.0%This article: 4.1%Kerry Burke: 3.1%newyorkdailynews: 4.1%Hasty Generalization4.1%This article: 0.0%Kerry Burke: 0.4%newyorkdailynews: 0.3%Red Herring0.0%This article: 0.0%Kerry Burke: 0.6%newyorkdailynews: 0.4%Bandwagon0.0%This article: 7.0%Kerry Burke: 9.1%newyorkdailynews: 7.4%Appeal to Emotion7.0%This article: 0.0%Kerry Burke: 0.4%newyorkdailynews: 0.6%Begging the Question0.0%This article: 0.0%Kerry Burke: 2.2%newyorkdailynews: 3.5%Post Hoc (False Cause)0.0%This article: 0.0%Kerry Burke: 0.0%newyorkdailynews: 0.1%Tu Quoque0.0%This article: 0.0%Kerry Burke: 0.5%newyorkdailynews: 0.5%Burden of Proof0.0%This article: 0.0%Kerry Burke: 0.0%newyorkdailynews: 0.2%Appeal to Nature0.0%This article: 0.0%Kerry Burke: 0.1%newyorkdailynews: 0.2%Composition/Division0.0%This article: 8.5%Kerry Burke: 4.0%newyorkdailynews: 2.6%Anecdotal8.5%This article: 0.0%Kerry Burke: 0.1%newyorkdailynews: 0.1%No True Scotsman0.0%This article: 0.8%Kerry Burke: 1.5%newyorkdailynews: 1.6%Ambiguity (Equivocation)0.8%This article: 0.0%Kerry Burke: 0.0%newyorkdailynews: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Kerry Burke: 0.1%newyorkdailynews: 0.1%Middle Ground0.0%This article: 0.0%Kerry Burke: 0.1%newyorkdailynews: 0.1%Personal Incredulity0.0%This article: 0.0%Kerry Burke: 0.1%newyorkdailynews: 0.1%Special Pleading0.0%This article: 0.0%Kerry Burke: 0.0%newyorkdailynews: 0.1%Genetic Fallacy0.0%This article: 12.7%Kerry Burke: 2.9%newyorkdailynews: 2.1%Unattributed Quote12.7%This article: 4.1%Kerry Burke: 1.2%newyorkdailynews: 1.1%Quote-first Misdirection4.1%This article: 4.1%Kerry Burke: 4.6%newyorkdailynews: 6.8%Biased Writer Voice4.1%This article: 0.0%Kerry Burke: 0.8%newyorkdailynews: 3.9%Indoctrination0.0%This article: 0.0%Kerry Burke: 0.2%newyorkdailynews: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%Kerry Burke: 0.0%newyorkdailynews: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Kerry Burke: 0.2%newyorkdailynews: 0.6%Attempt to Sell a Product or S…0.0%

845 words analyzed.

Speakers

6speakers58%attributed speech355writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 100.0% coverageWriter's voice • 46 words • 0.0% coverageWriter's voice • 67 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageFDNY • 35 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 22 words • 0.0% coverageSimba Machona • 26 words • 0.0% coverageSimba Machona • 35 words • 0.0% coverageSimba Machona • 11 words • 100.0% coverageSimba Machona • 10 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageNitin Bhateja • 23 words • 0.0% coverageNitin Bhateja • 10 words • 0.0% coverageNitin Bhateja • 7 words • 0.0% coverageNitin Bhateja • 27 words • 0.0% coverageNitin Bhateja • 14 words • 0.0% coverageRonny Ramos • 33 words • 0.0% coverageRonny Ramos • 5 words • 0.0% coverageRonny Ramos • 16 words • 0.0% coverageRonny Ramos • 7 words • 0.0% coverageRonny Ramos • 6 words • 0.0% coverageRonny Ramos • 12 words • 0.0% coverageRonny Ramos • 4 words • 0.0% coverageRonny Ramos • 6 words • 0.0% coverageRonny Ramos • 3 words • 0.0% coverageRonny Ramos • 7 words • 0.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageDanny Gardiner • 30 words • 0.0% coverageDanny Gardiner • 14 words • 0.0% coverageDanny Gardiner • 7 words • 0.0% coverageDanny Gardiner • 8 words • 0.0% coverageDanny Gardiner • 21 words • 0.0% coverageDanny Gardiner • 8 words • 0.0% coverageIrina Wirjan • 39 words • 0.0% coverageIrina Wirjan • 24 words • 0.0% coverageIrina Wirjan • 15 words • 0.0% coverageIrina Wirjan • 7 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageIrina Wirjan • 20 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverage
Selected voice

FDNY

100%flagged-word coverage
35 attributed words7.1% of attributed speech51% writer coverage
0%50.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%FDNY: 100.0%100.0%Unattributed Quote+82.8 ptsWriter: 17.2%FDNY: 100.0%100.0%Biased Writer Voice-9.9 ptsWriter: 9.9%FDNY: 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.