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A major fast food franchisee has filed for Chapter 11 bankruptcy protection. The franchisee, Sailormen Inc., operates 130 Popeyes Louisiana Kitchen locations in Florida, and like the franchisees of other big-name fast food chains in recent years, has faced numerous economic headwinds. Heres what you need to know. Whats happened? On January 15, Popeyes Louisiana Kitchen franchisee Sailormen Inc. filed for Chapter 11 bankruptcy protection in the United States Bankruptcy Court for the Southern District of Florida. Sailormen has been a Popeyes franchisee since the 1980s, and it currently operates 130 locations of the popular fried chicken chain. The conditions leading to the companys bankruptcy filing centered on increased debt burdens, driven by several factors. Those factors include, among others, the national impact of the COVID-19 pandemic on restaurant operations, consumer choice, high inflation, increased borrowing rates, and an increasingly limited qualified labor force, the company said in its filing. As reported by Restaurant Business, in 2023, Sailormen parent company, Interfoods of America, had a deal to sell 16 Sailormen-owned locations to another company, but that deal fell through, leaving Sailormen liable for the lease payments on those stores, significantly contributing to the companys financial woes. According to court documents, Sailormen Inc. owes around $130 million to various lenders, some of whom are suing the company. How does this bankruptcy affect Popeyes Louisiana Kitchen? Its important to note that the bankruptcy does not involve Popeyes Louisiana Kitchen or its owner, Restaurant Brands International (RBI). Sailormen Inc. is a separate legal entity from RBI and only franchises Popeyes stores. However, the bankruptcy filing of a large franchisee is sure to worry other franchise owners about the health of the Popeyes brand. To address those concerns, the president of Popeyes in the U.S. and Canada, Peter Perdue, reportedly sent out a note to relevant parties addressing the bankruptcy. According to the note, which was obtained by Restaurant Business, Perdue told other franchisees that Sailormens bankruptcy announcement does not reflect the healthy unit economics that you are experiencing in your restaurants. Of the four major fast food brands owned by RBIBurger King, Tim Hortons, Popeyes Louisiana Kitchen, and Firehouse Subs Popeyes ranks third in number of locations. Burger King is by far the largest RBI chain, with nearly 20,000 locations, followed by Tim Hortons with around 6,000 locations. Popeyes has around 5,000 locations worldwide, and Firehouse Subs has fewer than 1,500. In its most recent quarterly report, for the third quarter 2025, RBI reported net sales of $2.45 billion, an increase of 6.9%. However, much of that gain came from sales increases at its Tim Hortons and Burger King stores, noted CNBC. During the quarter, Popeyes saw same-store sales decline 2.4%. Fast Company reached out to Sailormen and RBI for comment. Will Popeyes store close? In Sailormen’s bankruptcy filings, it made no mention of the possibility of store closures, though no closures are by any means certain. In the memo sent to franchise owners regarding Sailormens bankruptcy filing, Popeyes president Peter Perdue reportedly addressed possible closures. While no one wants to find themselves in a process like this, we certainly believe that a large majority of their restaurants will continue to operate in the Popeyes system, he wrote. Sailormen is by far the first major quick service restaurant (QSR) franchisee to seek Chapter 11 protection. In recent years, a number of major fast food franchise owners have filed for bankruptcy. This includes the November 2023 bankruptcy filings for Wendys franchisee Starboard Group and Burger King franchisee Premier Kings. And last April, another major Burger King franchisee, Consolidated Burger Holdings, also filed for Chapter 11. Many of these franchisees have reported the same struggles as Sailormens, including foot traffic that never recovered after the Covid-19 pandemic as well as inflationary pressures.
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Put down Wordle. New brain-exercise-for-the-day just dropped. Can you read 900 words per minute? a viral post that has been doing the rounds on X, challenges. Try it. If you made it to 600 words per minute, thats more than twice the speed of the average reader. If you made it to 900, congratulationsaccording to some back-of-the-napkin math, that makes you 278% faster than the national average (which is 238 words per minute). By that same logic, it could take you around 40 seconds to read this 600ish word article. But should it? As one X user pointed out, this is like brainrot for reading. Or as Jane Ollis, medical biochemist and founder at AI-powered neurotech company Sona, told Fast Company, Its the cognitive equivalent of watching Netflix on fast-forward. The challenge uses a technique called rapid sequential visual presentation, or RSVP. The effect is bizarre, almost meditative, as your eyes passively absorb huge quantities of words at a rapid-fire pace. Eye movements shorten, the inner voice gets kicked out of the room, and the brain starts guessing what comes next, explains Ollis. There’s another factor to consider when we read really fast. Its neural autocomplete, says Ollis. Very efficient. Not always accurate. Research backs this up. Getting rid of sub-vocalizationsor hearing words in your mindmay increase reading speed, but has been shown to reduce comprehension of what is being read. And doing away with those extra eye movements, by placing words one on top of another rather than along a sentence (like in the X post), has also been found to have a similar effect on comprehension. You know roughly what happened, but you wouldnt bet your reputation on the details. And neuroscience tells us that the good stuffinsight, memory, and learninghappens when the brain slows down enough to actually chew the information, explains Ollis. When people try to read at extreme speed, the brain doesnt suddenly get smarter. It gets lazier in a clever way. For the deluge of text we consume on a daily basis (more than at any other time in history) this skill isnt unhelpful. From checking emails to scanning work documents to perusing social feeds, these are all effective use-cases for this kind of speed reading approach. (Its also a pretty fun challenge, to be honest.) But the best way to read faster, without reducing comprehension, is simply to read more. In a world obsessed with speed, Ollis says, attention might be the most rebellious skill we have.
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When you think of tools for studying substance use and addiction, a social media site like Reddit, TikTok, or YouTube probably isnt the first thing that comes to mind. Yet the stories shared on social media platforms are offering unprecedented insights into the world of substance use. In the past, researchers studying peoples experiences with addiction relied mostly on clinical observations and self-reported surveys. But only about 5% of people diagnosed with a substance use disorder seek formal treatment. They are only a small sliver of the population who have a substance use disorderand until recently, there has been no straightforward way to capture the experiences of the other 95%. Today, millions of people openly discuss their experiences with drugs online, creating a vast collection of raw narratives about drug use. As a doctoral student in information science with a background in public health, I use this material to better understand how people who use drugs describe their lives and make sense of their experiences, especially when it comes to stigma. These online conversations are reshaping how researchers think about substance use, addiction, and recovery. Advances in artificial intelligence are helping make sense of these conversations at a scale that wasnt possible before. The hidden population The vast majority of people diagnosed with a substance use disorder address the issue informallyseeking support from their community, friends, or family, self-medicating or doing nothing at all. But some choose to post about their drug use in dedicated online communities, such as group forums, often with a level of candor that would be difficult to capture in clinical interviews. Their social media posts offer a window into real-time, unscripted conversations about substance use. For example, Reddit, which is comprised of topical communities called subreddits, contains over 150 interconnected communities dedicated to various aspects of substance use. In 2024, my colleagues and I analyzed how participants in drug-related forums on Reddit connect and interact. We found that they focused on the chemistry and pharmacology of substances, support for drug users, recreational experiences such as festivals and book clubs, recovery help, and harm reduction strategies. We then selected a few of the most active communities to develop a system for categorizing different types of personal disclosures by labeling 500 Reddit posts. Policymakers and public health experts have expressed concerns that social media encourages risky drug use. Our work did not assess that issue, but it did support the notion that platforms such as Reddit and TikTok often serve as a lifeline for people seeking just-in-time support when they need it most. When we used machine learning to analyze an additional 1,000 posts, we found that most users in the forums we focused on were seeking practical safety information. Posters often posed questions such as how much of a substance is safe to take, what interactions to avoid and how to recognize signs of trouble. We observed that these forums function as informal harm reduction spaces. People share not just experiences but warnings, safety protocols and genuine care for each others well-being. When community members are lost to overdose, the responses reveal deep grief and renewed commitments to keeping others safe. This is the everyday reality of how people navigate substance use outside medical settingswith far more nuance and mutual support than critics might expect. We also explored TikTok, analyzing more than 350 videos from substance-related communities. Recovery advocacy content was the most common, depicted in 33.9% of the videos we analyzed. Just 6.5% of the videos showed active drug use. On Reddit, we frequently saw people emphasizing safety and care. Why AI is a game-changer Platforms like Reddit, TikTok, and YouTube host millions of posts, videos, and comments, many filled with slang, sarcasm, regional language, or emotionally charged stories. Analyzing this content manually is time-consuming, inconsistent, and virtually impossible to do at scale. Thats where AI comes in. Traditional machine learning approaches often rely on fixed word lists or keyword matching, which can miss important contextual cues. In contrast, newer modelsespecially large language models like OpenAIs GPT-5are capable of understanding nuance, tone, and even the underlying intent of a message. This makes them especially useful for studying complex issues like drug use or stigma, where people often communicate through implication, coded language, or emotional nuance rather than direct statements. These models can identify patterns across thousands of posts and flag emerging trends. For example, researchers used them to detect shifts in how Canadians on X, the social media site formerly called Twitter, discussed cannabis as legalization approachedcapturing shifts in public attitudes that traditional surveys might have missed. In another study, researchers found that monitoring Reddit discussions can help predict opioid-related overdose rates. Official government data, like that from the Centers for Disease Control and Prevention, typically lags by at least six months. But adding near-real-time Reddit data to forecasting models significantly improved their ability to predict overdose deathspotentially helping public health officials respond faster to emerging crises. The role that stigma plays in substance use disorder is difficult to capture in traditional surveys and interviews. Bringing stigma into focus One of the most difficult aspects of substance use to studyand to addressis the stigma. Its deeply personal, often invisible and shaped by a persons identity, relationships, and environment. Researchers have long recognized that stigma, especially when internalized, an erode self-worth, worsen mental health, and prevent people from seeking help. But its notoriously hard to capture using traditional research methods. Most clinical studies rely on surveys or interviews conducted at regular intervals. While useful, these snapshots can miss how stigma unfolds in everyday life. Stigma scholars have emphasized that understanding its full impact requires paying attention to how people talk about themselves and their experiences over time. On social media platforms, people often discuss stigma organically, in their own words and in the context of their lived experiences. They might describe being judged by a health care provider, express shame about their own substance use or reflect on how stigma shapes their relationships. Even when posts arent directly naming the experience as stigma, they still reveal how stigma is internalized, challenged or reinforced. Using large language models, researchers can begin to track these patterns at scale, identifying linguistic signals like shame, guilt or expressions of hopelessness. In recent work, my colleagues and I showed that stigma expressed on Reddit aligns closely with long-standing stigma theorysuggesting that what people share on social media reflects recognizable stigma processes, not something fundamentally new or separate from what researchers have long studied. That matters because stigma is one of the most significant barriers to treatment for people with substance use disorder. Understanding how people who use drugs talk about stigma, harm, recovery, and survival, in their own words, can complement surveys and clinical studies and help inform better public health responses. By taking these everyday expressions seriously, researchers, clinicians and policymakers can begin to respond to substance use as it is actually lived messy, evolving and deeply human. Layla Bouzoubaa is a doctoral student in information science at Drexel University. This article is republished from The Conversation under a Creative Commons license. Read the original article.
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