NOLA.com29%

New Orleans residents, sick of slow service, clear clogged catch basins themselves: 'Fed up’ 34%

By Violet Bucaro25%

8/2/2026, 2:00:00 AM

BS Summary: This article contains 29 faulty reasoning types, including Anecdotal, Optimism Bias, and Appeal to Authority, with Negativity Bias as the most egregious example at 23.7% saturation with 234 hits. Analysis detected 1,536 faulty-reasoning hits from 986 analyzed words, generating a BS Score of 35.8% and a BS Rank of 34% (18,435 of 27,714 articles). This article is better (less manipulative) than 66.50% of the article peer group.

Frustrated by years of street flooding and delayed Sewerage and Water Board maintenance, a New Orleans restaurant owner unclogged a catch basin herself. 
Frustrated by repeated street flooding, Vassiliki Ellwood Yiagazis picked up a shovel. 
The owner of Smoke and Honey in Mid-City pulled 5 feet of compacted soil and garbage from a catch basin on North Rendon Street, clearing a stop-up that had kept away customers on rainy days. 
Ellwood Yiagazis did so after she spent two years begging the Sewerage and Water Board and city officials to do the work themselves. 
Six separate service requests went nowhere. 
“I was fed up with waiting, because I called after I put in that service request and I just couldn’t get an answer,” she said. 
“This is an emergency and it just wasn’t prioritized.” 
The city's volunteer catch-basin cleaners have stepped up their efforts as the city's embattled Sewerage and Water Board lacks funding to finish the job on its own. 
Though the City Council will be empowered to seize more control over the utility on Aug. 1, and an ordinance soon to be finalized would give the council and the mayor more say over the agency's leadership and finances, 
Catch basins are one area the city intends to prioritize going forward, says District A Councilmember Aimee McCarron said. 
“We do not yet have a plan, as we'll need to see their budgets and current spending, but once we have a better understanding, we can assess the situation and determine the best path,” McCarron said in an email. 
S&WB officials said the basins remain stuffed due to a lack of money. 
Mayor Helena Moreno's administration has demanded that the S&WB settle its debts to City Hall for work performed on other projects, and the S&WB has been awaiting funding from the city for catch basin maintenance, agency officials said at a July 8 board meeting. 
That is 18.4% of the lower estimated cost for 2026. 
“We remain committed to improving drainage infrastructure and continue to utilize both in-house and contractor crews to clean and maintain the minor drainage system as available funding allows,” Labat said. 
Cleanups fall short of goal 
The S&WB oversees 76,000 catch basins citywide and said its goal is to clean a fifth, or 15,000, of them each year, in line with industry standards. 
Doing so each year would cost anywhere between $25 million and $40 million for staffing, equipment and repair costs, said Ceara Labat, the S&WB's communications chief. 
But the S&WB received just $9.3 million in city funding for drainage maintenance last year and only $4.6 million this year, agency officials said at a July 8 board meeting. 
That is 18.4% of the lower estimated cost for 2026. 
As a result, crews have cleaned just 2,800 catch basins as of July 31, nearly half of what they cleaned this time last year, data shows. 
S&WB officials say they have been working through a backlog of 311 service requests and a longer-term maintenance program since January 2025. 
A new state law took effect Saturday, granting the city more power over S&WB’s finances, guidelines and responsibilities. 
The law gives the city the ability to exercise stricter oversight on S&WB’s operating budget and empowers the mayor to remove board members. 
City leaders say the new law could lead to S&WB folding into city government. 
The quasi-independent agency has upset residents for years, over everything from boil advisories, billing scandals, unanswered emergencies and preventable flood damage. 
Other residents pitch in 
The video sparked 38,000 views and several comments from New Orleans residents who expressed similar frustrations. 
“The Lower Garden District homeowners also get together like 3x a year, and we just do it ourselves too. 
Hasn’t flooded on our street since,” Instagram commenter Sevetri Wilson Taylor wrote. 
Resident Lily Cummings commented she unclogs catch basins every summer, but after she sent a service report about an overgrown oak tree blocking water flow, S&WB and 311 responded that the issue was a “Parks and Parkways problem.” 
“Still not resolved. 
But we do what we can as neighbors,” Cummings posted. 
One commenter asked if Ellwood Yiagazis could clean out the basin on her block, too. 
Ellwood Yiagazis responded that she is organizing a group of volunteers to help with the grunt work for other neighbors, and asked the commenter for the address. 
“We are clearly seeing great mismanagement of these city services that we are paying for, and we deserve better,” Ellwood Yiagazis said. 
Ellwood Yiagazis said she was inspired by District B Councilmember Lesli Harris’ catch basin challenge, announced on social media June 3. 
Harris said the challenge encourages residents to clean debris around catch basins, which S&WB officials say is residents’ responsibility. 
“We just put a challenge out there to get people in the neighborhoods to catch these things, and so we’ve seen that really work,” Harris said. 
“Neighbors are getting together.” 
Around 78 catch basins were cleaned by neighborhood groups in a month, but Harris warned residents not to open catch basin lids to avoid potential hazards. 
Using trowels, wheelbarrows, pry bars, garden hoses, wagons and shovels, a group of six people in the Broadmoor area removed debris and overgrowth around 16 catch basins in three hours. 
“Just looking at the before and after of the drain, it really does make a difference,” said volunteer Natori Green, the executive director of Broadmoor Arts & Wellness Center, who leads catch basin cleanups before heavy rainstorms. 
“If there’s a high chance of rain, we will do it no matter what time of year it is.” 
Green said that during cleanups, many neighbors ask for their catch basins to be cleaned when they spot the group. 
A resident from the 4400 block of Eden Street asked Green to visit the one on her block because she was concerned about repeated flooding and older residents. 
Article reasoning-pattern comparisonThis article: 2.2%Violet Bucaro: 1.6%nola.com: 2.0%Confirmation Bias2.2%This article: 0.0%Violet Bucaro: 0.5%nola.com: 0.8%Anchoring Bias0.0%This article: 5.8%Violet Bucaro: 1.9%nola.com: 2.0%Availability Heuristic5.8%This article: 2.7%Violet Bucaro: 1.2%nola.com: 0.7%Representativeness Heuristic2.7%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.5%Hindsight Bias0.0%This article: 4.0%Violet Bucaro: 0.7%nola.com: 0.9%Overconfidence Bias4.0%This article: 4.2%Violet Bucaro: 1.2%nola.com: 3.2%Framing Effect4.2%This article: 2.6%Violet Bucaro: 0.5%nola.com: 0.5%Loss Aversion2.6%This article: 6.7%Violet Bucaro: 1.2%nola.com: 0.4%Status Quo Bias6.7%This article: 6.9%Violet Bucaro: 1.2%nola.com: 0.2%Sunk Cost Effect6.9%This article: 10.8%Violet Bucaro: 2.0%nola.com: 3.6%Optimism Bias10.8%This article: 4.3%Violet Bucaro: 0.8%nola.com: 1.3%Pessimism Bias4.3%This article: 23.7%Violet Bucaro: 7.1%nola.com: 3.3%Negativity Bias23.7%This article: 2.7%Violet Bucaro: 2.1%nola.com: 1.2%Self-Serving Bias2.7%This article: 1.3%Violet Bucaro: 1.0%nola.com: 0.3%Fundamental Attribution Error1.3%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.0%Actor-Observer Bias0.0%This article: 2.9%Violet Bucaro: 1.2%nola.com: 0.7%In-Group Bias2.9%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.1%Out-Group Homogeneity Bias0.0%This article: 3.8%Violet Bucaro: 2.1%nola.com: 2.4%Halo Effect3.8%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.0%Horn Effect0.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.9%Recency Bias0.0%This article: 2.1%Violet Bucaro: 0.6%nola.com: 0.2%Primacy Effect2.1%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.0%Blind-Spot Bias0.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.2%Ad Hominem0.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.1%Straw Man0.0%This article: 10.3%Violet Bucaro: 2.6%nola.com: 2.3%Appeal to Authority10.3%This article: 2.3%Violet Bucaro: 0.4%nola.com: 0.9%False Dilemma2.3%This article: 1.4%Violet Bucaro: 0.3%nola.com: 0.4%Slippery Slope1.4%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.2%Circular Reasoning0.0%This article: 7.4%Violet Bucaro: 2.0%nola.com: 2.2%Hasty Generalization7.4%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.1%Red Herring0.0%This article: 2.0%Violet Bucaro: 0.4%nola.com: 0.4%Bandwagon2.0%This article: 0.0%Violet Bucaro: 1.6%nola.com: 2.3%Appeal to Emotion0.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.4%Begging the Question0.0%This article: 8.4%Violet Bucaro: 1.5%nola.com: 1.6%Post Hoc (False Cause)8.4%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.0%Tu Quoque0.0%This article: 4.9%Violet Bucaro: 0.9%nola.com: 0.4%Burden of Proof4.9%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.2%Appeal to Nature0.0%This article: 1.0%Violet Bucaro: 0.2%nola.com: 0.3%Composition/Division1.0%This article: 22.4%Violet Bucaro: 5.3%nola.com: 1.8%Anecdotal22.4%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.1%No True Scotsman0.0%This article: 2.0%Violet Bucaro: 0.4%nola.com: 0.9%Ambiguity (Equivocation)2.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.0%Middle Ground0.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.0%Personal Incredulity0.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.1%Special Pleading0.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.0%Genetic Fallacy0.0%This article: 2.5%Violet Bucaro: 1.2%nola.com: 1.4%Unattributed Quote2.5%This article: 1.9%Violet Bucaro: 0.9%nola.com: 0.4%Quote-first Misdirection1.9%This article: 2.3%Violet Bucaro: 4.0%nola.com: 2.1%Biased Writer Voice2.3%This article: 0.0%Violet Bucaro: 0.4%nola.com: 0.3%Indoctrination0.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Violet Bucaro: 0.0%nola.com: 0.9%Attempt to Sell a Product or S…0.0%

986 words analyzed.

Speakers

9speakers42%attributed speech567writer words
100%flagged-word coverage
104 attributed words25% of attributed speech87% writer coverage
0%12.5%25.0%Unattributed Quote+24.0 ptsWriter: 0.0%Vassiliki Ellwood Yiagazis: 24.0%24.0%Biased Writer Voice-4.1 ptsWriter: 4.1%Vassiliki Ellwood Yiagazis: 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.