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The Most Valuable Company in the World Welcomes You to Its Conference with ‘Veggie-Tales’-Adjacent Slop

The Most Valuable Company in the World Welcomes You to Its Conference with ‘Veggie-Tales’-Adjacent Slop

A simple turn of phrase that has stuck with me since I read it in 2010 was “power without prestige.” It was used in a tossed off way by the New Republic’s Franklin Foer in a column about the US trying desperately to land the 2022 World Cup, but getting beaten by Qatar. No one could question U.S. wealth and military might, but what about intangible qualities like, say, dignity?

I thought about that phrase when I watched the end of Jensen Huang’s 2026 keynote, the centerpiece of day one of Nvidia’s GTC conference, in which he announced that his $5 trillion company intends to rake in $1 trillion in revenue over the next two calendar years alone. Then Huang capped it off with a Veggie Tales-adjacent animated singalong starring a cartoony CGI version of himself at a campfire with a lobster and several robots, including the 1x Neo house-cleaning robot that has to be remotely controlled.

And I’m sorry to say you must now watch it:

Don’t get me wrong. I have nothing against eerie things that are supposed to be cute. The autonomous animatronic of Olaf from the Frozen movies that Huang interacts with just before playing the animation—part of Disney’s previously announced push toward highly sophisticated interactive robots for its parks—is sick, and I have nothing negative to say about it, except what it’s used as a transition to: a stomp-clap-hey indie folk song mixed with the Canyonero jingle from the Simpsons, being mistakenly treated like an acoustic campfire song because no one with any discernment was there behind the scenes to keep this project on track.

The song seems to have been made with an AI music generator like Suno or Udio, but Nvidia hasn’t publicized how this music came about. The company has created open source tools related to animation and AI music analysis, but they didn’t respond when I asked them what was used to generate this particular song, so anything is possible. It could have even been performed by some anonymous singer, as unlikely as that is. But since the topic is AI being an all-powerful economic juggernaut, a human musician would be off-brand.

Conceptually, this is supposed to be a musical recap, so I suppose it’s not a total mistake that the song Nvidia ended up with has a sort of “We Didn’t Start the Fire”-style, bullet point song structure—though it’s not much of a structure, because there are little instrumental breaks instead of a chorus. But Nvidia just lets this song keep stretching out, and stretching out, and then they made a crowd full of journalists, investors, entrepreneurs, and enthusiasts sit and listen to every agonizing second of it in person, along with anyone watching the stream from home who failed to mute their laptop speakers.

The low point is “AI Factories,” the verse at 2:17:12:

AI factories once took years.

Vendors pulling racks and gears.

Built up slowly, piece by piece.

No clear way to scale this beast.

DSX and Dynamo know what to do.

Turning power into revenue.

Lyrically speaking, this is no big deal. It’s the kind of familiar LLM doggerel we were trained to expect during ChatGPT mania back in 2023. But in musical form, this is torture. The audio generator seems to have gone haywire over those last two lines that do not scan, so for some reason it shifts into a tour-de-force register, generating audio in which the singer belts the words like a maudlin college student singing “Wagon Wheel” at 3 a.m., except the words are “Turning power into revenue.”

Tech corporations take wrong turns with their marketing all the time, and this disquieting trip into the uncanny valley doesn’t even have enough of a coherent idea at its center to provoke the rage of something like Apple’s “Crush” ad from 2024, in which an iPad squashes the tools of human creativity into oblivion—take that, piano! But Apple’s in-house marketing department worked hard to make something that bad, whereas it looks like little to no thought at all was put into the Nvidia campfire video.

But the thrown-together-real-quick quality of this video, by contrast, is insidious in a different way than “Crush.” Huang and his friend Olaf could have taken their bows and said goodbye, but in the AI era, an inside joke can, in theory, turn into a fully executed bonus keynote finale. The glaring subtext here is that this undercooked campfire song idea didn’t take much effort. Productivity is the whole point of everything Huang is doing by making the chips that are powering the AI economy—spending less time, but making more stuff.

But the global economy revolves around this company, and there are supposed to be 30,000 people at this conference. Everyone who attended the centerpiece keynote—which was two hours and 20 minutes long—was subjected to this song before Huang yelled “Alright, have a great GTC,” and at last let them file out of the auditorium.

Nvidia, like the U.S. itself, is a hegemon pretending to not be intimidated by competition from China. Right now, it unquestionably holds the reins of power, but holding onto your allies for the long haul is tricky. In a few years, conference attendees probably won’t remember this crud from the bottom of the slop bucket, fed to them by what for the moment is the richest company in the world, but who knows? Prestige might come in handy sometime down the line when Nvidia’s power is no longer unquestionable.

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#Valuable #Company #World #Welcomes #Conference #VeggieTalesAdjacent #Slop

Indian startup Rocket is betting that the next big opportunity is the part before vibe coding: having AI help people decide what to build. It has launched a platform that produces consulting-style product strategies.

The startup, based in Surat, India, on Tuesday launched its platform, Rocket 1.0, which connects research, product building, and competitive intelligence in a single workflow. The platform generates detailed product strategy documents — including pricing, unit economics, and go-to-market recommendations.

As AI-powered coding tools proliferate — from platforms like Cursor, Replit, and Lovable to features such as Claude Code and Codex — writing code has become significantly easier and faster. “Everyone can generate the code now… it has become a commodity. But what to build is something which everyone is missing,” said Rocket co-founder and CEO Vishal Virani (pictured above), adding that “running a business and just building a codebase are two different things.”

TechCrunch briefly tested Rocket’s platform ahead of its launch and found that it generated product requirement documents in PDF format from simple prompts. These documents resemble consulting-style reports rather than vibe coding tools or chatbots, which largely focus on features and execution.

However, some of the analysis appeared to be synthesized from existing data — combining known pricing models, user behavior patterns, and competitive insights — rather than based on independently verifiable information. This suggests users may still need to validate outputs before making business decisions. Virani said the platform can offer human support when users encounter issues.

AI startup Rocket offers vibe McKinsey-style reports at a fraction of the cost | TechCrunch
Indian startup Rocket is betting that the next big opportunity is the part before vibe coding: having AI help people decide what to build. It has launched a platform that produces consulting-style product strategies.

The startup, based in Surat, India, on Tuesday launched its platform, Rocket 1.0, which connects research, product building, and competitive intelligence in a single workflow. The platform generates detailed product strategy documents — including pricing, unit economics, and go-to-market recommendations.







As AI-powered coding tools proliferate — from platforms like Cursor, Replit, and Lovable to features such as Claude Code and Codex — writing code has become significantly easier and faster. “Everyone can generate the code now… it has become a commodity. But what to build is something which everyone is missing,” said Rocket co-founder and CEO Vishal Virani (pictured above), adding that “running a business and just building a codebase are two different things.”

TechCrunch briefly tested Rocket’s platform ahead of its launch and found that it generated product requirement documents in PDF format from simple prompts. These documents resemble consulting-style reports rather than vibe coding tools or chatbots, which largely focus on features and execution. 

However, some of the analysis appeared to be synthesized from existing data — combining known pricing models, user behavior patterns, and competitive insights — rather than based on independently verifiable information. This  suggests users may still need to validate outputs before making business decisions. Virani said the platform can offer human support when users encounter issues.

Rocket’s platform generates consulting-style reports Based on text prompts given by usersImage Credits:Rocket

The product can also track competitors, including changes to their websites and traffic trends. Rocket draws on more than 1,000 data sources for its analysis, including Meta’s ad libraries, Similarweb’s API, and its own crawlers, Virani said.

Rocket’s subscription plans range from  per month for building applications to 0 for strategy and research capabilities, and up to 0 for the full platform, including competitive intelligence.

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	


The 0 plan can generate two to three “McKinsey-grade” research reports alongside product builds, Virani told TechCrunch, positioning its higher-tier offerings as a lower-cost alternative to traditional consulting, which often costs thousands of dollars for similar strategy work.

Rocket raised a  million seed round in September from Accel, Salesforce Ventures, and Together Fund. Since then, the startup says it has grown from 400,000 to over 1.5 million users across 180 countries. It also reported an annualized average revenue per user in the ~,000 range, though it did not disclose detailed paying customer numbers. The startup said it operates at gross margins of over 50%, with 20–30% of its customers being small- and medium-sized businesses.

Rocket has a team of 57 employees and is headquartered in Surat, with operations in Palo Alto.
#startup #Rocket #offers #vibe #McKinseystyle #reports #fraction #cost #TechCrunchrocket,vibe coding
Rocket’s platform generates consulting-style reports Based on text prompts given by usersImage Credits:Rocket

The product can also track competitors, including changes to their websites and traffic trends. Rocket draws on more than 1,000 data sources for its analysis, including Meta’s ad libraries, Similarweb’s API, and its own crawlers, Virani said.

Rocket’s subscription plans range from $25 per month for building applications to $250 for strategy and research capabilities, and up to $350 for the full platform, including competitive intelligence.

Techcrunch event

San Francisco, CA | October 13-15, 2026

The $250 plan can generate two to three “McKinsey-grade” research reports alongside product builds, Virani told TechCrunch, positioning its higher-tier offerings as a lower-cost alternative to traditional consulting, which often costs thousands of dollars for similar strategy work.

Rocket raised a $15 million seed round in September from Accel, Salesforce Ventures, and Together Fund. Since then, the startup says it has grown from 400,000 to over 1.5 million users across 180 countries. It also reported an annualized average revenue per user in the ~$4,000 range, though it did not disclose detailed paying customer numbers. The startup said it operates at gross margins of over 50%, with 20–30% of its customers being small- and medium-sized businesses.

Rocket has a team of 57 employees and is headquartered in Surat, with operations in Palo Alto.

#startup #Rocket #offers #vibe #McKinseystyle #reports #fraction #cost #TechCrunchrocket,vibe coding">AI startup Rocket offers vibe McKinsey-style reports at a fraction of the cost | TechCrunch
Indian startup Rocket is betting that the next big opportunity is the part before vibe coding: having AI help people decide what to build. It has launched a platform that produces consulting-style product strategies.

The startup, based in Surat, India, on Tuesday launched its platform, Rocket 1.0, which connects research, product building, and competitive intelligence in a single workflow. The platform generates detailed product strategy documents — including pricing, unit economics, and go-to-market recommendations.







As AI-powered coding tools proliferate — from platforms like Cursor, Replit, and Lovable to features such as Claude Code and Codex — writing code has become significantly easier and faster. “Everyone can generate the code now… it has become a commodity. But what to build is something which everyone is missing,” said Rocket co-founder and CEO Vishal Virani (pictured above), adding that “running a business and just building a codebase are two different things.”

TechCrunch briefly tested Rocket’s platform ahead of its launch and found that it generated product requirement documents in PDF format from simple prompts. These documents resemble consulting-style reports rather than vibe coding tools or chatbots, which largely focus on features and execution. 

However, some of the analysis appeared to be synthesized from existing data — combining known pricing models, user behavior patterns, and competitive insights — rather than based on independently verifiable information. This  suggests users may still need to validate outputs before making business decisions. Virani said the platform can offer human support when users encounter issues.

Rocket’s platform generates consulting-style reports Based on text prompts given by usersImage Credits:Rocket

The product can also track competitors, including changes to their websites and traffic trends. Rocket draws on more than 1,000 data sources for its analysis, including Meta’s ad libraries, Similarweb’s API, and its own crawlers, Virani said.

Rocket’s subscription plans range from  per month for building applications to 0 for strategy and research capabilities, and up to 0 for the full platform, including competitive intelligence.

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	


The 0 plan can generate two to three “McKinsey-grade” research reports alongside product builds, Virani told TechCrunch, positioning its higher-tier offerings as a lower-cost alternative to traditional consulting, which often costs thousands of dollars for similar strategy work.

Rocket raised a  million seed round in September from Accel, Salesforce Ventures, and Together Fund. Since then, the startup says it has grown from 400,000 to over 1.5 million users across 180 countries. It also reported an annualized average revenue per user in the ~,000 range, though it did not disclose detailed paying customer numbers. The startup said it operates at gross margins of over 50%, with 20–30% of its customers being small- and medium-sized businesses.

Rocket has a team of 57 employees and is headquartered in Surat, with operations in Palo Alto.
#startup #Rocket #offers #vibe #McKinseystyle #reports #fraction #cost #TechCrunchrocket,vibe coding

Rocket is betting that the next big opportunity is the part before vibe coding: having AI help people decide what to build. It has launched a platform that produces consulting-style product strategies.

The startup, based in Surat, India, on Tuesday launched its platform, Rocket 1.0, which connects research, product building, and competitive intelligence in a single workflow. The platform generates detailed product strategy documents — including pricing, unit economics, and go-to-market recommendations.

As AI-powered coding tools proliferate — from platforms like Cursor, Replit, and Lovable to features such as Claude Code and Codex — writing code has become significantly easier and faster. “Everyone can generate the code now… it has become a commodity. But what to build is something which everyone is missing,” said Rocket co-founder and CEO Vishal Virani (pictured above), adding that “running a business and just building a codebase are two different things.”

TechCrunch briefly tested Rocket’s platform ahead of its launch and found that it generated product requirement documents in PDF format from simple prompts. These documents resemble consulting-style reports rather than vibe coding tools or chatbots, which largely focus on features and execution.

However, some of the analysis appeared to be synthesized from existing data — combining known pricing models, user behavior patterns, and competitive insights — rather than based on independently verifiable information. This suggests users may still need to validate outputs before making business decisions. Virani said the platform can offer human support when users encounter issues.

AI startup Rocket offers vibe McKinsey-style reports at a fraction of the cost | TechCrunch
Indian startup Rocket is betting that the next big opportunity is the part before vibe coding: having AI help people decide what to build. It has launched a platform that produces consulting-style product strategies.

The startup, based in Surat, India, on Tuesday launched its platform, Rocket 1.0, which connects research, product building, and competitive intelligence in a single workflow. The platform generates detailed product strategy documents — including pricing, unit economics, and go-to-market recommendations.







As AI-powered coding tools proliferate — from platforms like Cursor, Replit, and Lovable to features such as Claude Code and Codex — writing code has become significantly easier and faster. “Everyone can generate the code now… it has become a commodity. But what to build is something which everyone is missing,” said Rocket co-founder and CEO Vishal Virani (pictured above), adding that “running a business and just building a codebase are two different things.”

TechCrunch briefly tested Rocket’s platform ahead of its launch and found that it generated product requirement documents in PDF format from simple prompts. These documents resemble consulting-style reports rather than vibe coding tools or chatbots, which largely focus on features and execution. 

However, some of the analysis appeared to be synthesized from existing data — combining known pricing models, user behavior patterns, and competitive insights — rather than based on independently verifiable information. This  suggests users may still need to validate outputs before making business decisions. Virani said the platform can offer human support when users encounter issues.

Rocket’s platform generates consulting-style reports Based on text prompts given by usersImage Credits:Rocket

The product can also track competitors, including changes to their websites and traffic trends. Rocket draws on more than 1,000 data sources for its analysis, including Meta’s ad libraries, Similarweb’s API, and its own crawlers, Virani said.

Rocket’s subscription plans range from  per month for building applications to 0 for strategy and research capabilities, and up to 0 for the full platform, including competitive intelligence.

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	


The 0 plan can generate two to three “McKinsey-grade” research reports alongside product builds, Virani told TechCrunch, positioning its higher-tier offerings as a lower-cost alternative to traditional consulting, which often costs thousands of dollars for similar strategy work.

Rocket raised a  million seed round in September from Accel, Salesforce Ventures, and Together Fund. Since then, the startup says it has grown from 400,000 to over 1.5 million users across 180 countries. It also reported an annualized average revenue per user in the ~,000 range, though it did not disclose detailed paying customer numbers. The startup said it operates at gross margins of over 50%, with 20–30% of its customers being small- and medium-sized businesses.

Rocket has a team of 57 employees and is headquartered in Surat, with operations in Palo Alto.
#startup #Rocket #offers #vibe #McKinseystyle #reports #fraction #cost #TechCrunchrocket,vibe coding
Rocket’s platform generates consulting-style reports Based on text prompts given by usersImage Credits:Rocket

The product can also track competitors, including changes to their websites and traffic trends. Rocket draws on more than 1,000 data sources for its analysis, including Meta’s ad libraries, Similarweb’s API, and its own crawlers, Virani said.

Rocket’s subscription plans range from $25 per month for building applications to $250 for strategy and research capabilities, and up to $350 for the full platform, including competitive intelligence.

Techcrunch event

San Francisco, CA | October 13-15, 2026

The $250 plan can generate two to three “McKinsey-grade” research reports alongside product builds, Virani told TechCrunch, positioning its higher-tier offerings as a lower-cost alternative to traditional consulting, which often costs thousands of dollars for similar strategy work.

Rocket raised a $15 million seed round in September from Accel, Salesforce Ventures, and Together Fund. Since then, the startup says it has grown from 400,000 to over 1.5 million users across 180 countries. It also reported an annualized average revenue per user in the ~$4,000 range, though it did not disclose detailed paying customer numbers. The startup said it operates at gross margins of over 50%, with 20–30% of its customers being small- and medium-sized businesses.

Rocket has a team of 57 employees and is headquartered in Surat, with operations in Palo Alto.

#startup #Rocket #offers #vibe #McKinseystyle #reports #fraction #cost #TechCrunchrocket,vibe coding">AI startup Rocket offers vibe McKinsey-style reports at a fraction of the cost | TechCrunch

Indian startup Rocket is betting that the next big opportunity is the part before vibe coding: having AI help people decide what to build. It has launched a platform that produces consulting-style product strategies.

The startup, based in Surat, India, on Tuesday launched its platform, Rocket 1.0, which connects research, product building, and competitive intelligence in a single workflow. The platform generates detailed product strategy documents — including pricing, unit economics, and go-to-market recommendations.

As AI-powered coding tools proliferate — from platforms like Cursor, Replit, and Lovable to features such as Claude Code and Codex — writing code has become significantly easier and faster. “Everyone can generate the code now… it has become a commodity. But what to build is something which everyone is missing,” said Rocket co-founder and CEO Vishal Virani (pictured above), adding that “running a business and just building a codebase are two different things.”

TechCrunch briefly tested Rocket’s platform ahead of its launch and found that it generated product requirement documents in PDF format from simple prompts. These documents resemble consulting-style reports rather than vibe coding tools or chatbots, which largely focus on features and execution.

However, some of the analysis appeared to be synthesized from existing data — combining known pricing models, user behavior patterns, and competitive insights — rather than based on independently verifiable information. This suggests users may still need to validate outputs before making business decisions. Virani said the platform can offer human support when users encounter issues.

AI startup Rocket offers vibe McKinsey-style reports at a fraction of the cost | TechCrunch
Indian startup Rocket is betting that the next big opportunity is the part before vibe coding: having AI help people decide what to build. It has launched a platform that produces consulting-style product strategies.

The startup, based in Surat, India, on Tuesday launched its platform, Rocket 1.0, which connects research, product building, and competitive intelligence in a single workflow. The platform generates detailed product strategy documents — including pricing, unit economics, and go-to-market recommendations.







As AI-powered coding tools proliferate — from platforms like Cursor, Replit, and Lovable to features such as Claude Code and Codex — writing code has become significantly easier and faster. “Everyone can generate the code now… it has become a commodity. But what to build is something which everyone is missing,” said Rocket co-founder and CEO Vishal Virani (pictured above), adding that “running a business and just building a codebase are two different things.”

TechCrunch briefly tested Rocket’s platform ahead of its launch and found that it generated product requirement documents in PDF format from simple prompts. These documents resemble consulting-style reports rather than vibe coding tools or chatbots, which largely focus on features and execution. 

However, some of the analysis appeared to be synthesized from existing data — combining known pricing models, user behavior patterns, and competitive insights — rather than based on independently verifiable information. This  suggests users may still need to validate outputs before making business decisions. Virani said the platform can offer human support when users encounter issues.

Rocket’s platform generates consulting-style reports Based on text prompts given by usersImage Credits:Rocket

The product can also track competitors, including changes to their websites and traffic trends. Rocket draws on more than 1,000 data sources for its analysis, including Meta’s ad libraries, Similarweb’s API, and its own crawlers, Virani said.

Rocket’s subscription plans range from  per month for building applications to 0 for strategy and research capabilities, and up to 0 for the full platform, including competitive intelligence.

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	


The 0 plan can generate two to three “McKinsey-grade” research reports alongside product builds, Virani told TechCrunch, positioning its higher-tier offerings as a lower-cost alternative to traditional consulting, which often costs thousands of dollars for similar strategy work.

Rocket raised a  million seed round in September from Accel, Salesforce Ventures, and Together Fund. Since then, the startup says it has grown from 400,000 to over 1.5 million users across 180 countries. It also reported an annualized average revenue per user in the ~,000 range, though it did not disclose detailed paying customer numbers. The startup said it operates at gross margins of over 50%, with 20–30% of its customers being small- and medium-sized businesses.

Rocket has a team of 57 employees and is headquartered in Surat, with operations in Palo Alto.
#startup #Rocket #offers #vibe #McKinseystyle #reports #fraction #cost #TechCrunchrocket,vibe coding
Rocket’s platform generates consulting-style reports Based on text prompts given by usersImage Credits:Rocket

The product can also track competitors, including changes to their websites and traffic trends. Rocket draws on more than 1,000 data sources for its analysis, including Meta’s ad libraries, Similarweb’s API, and its own crawlers, Virani said.

Rocket’s subscription plans range from $25 per month for building applications to $250 for strategy and research capabilities, and up to $350 for the full platform, including competitive intelligence.

Techcrunch event

San Francisco, CA | October 13-15, 2026

The $250 plan can generate two to three “McKinsey-grade” research reports alongside product builds, Virani told TechCrunch, positioning its higher-tier offerings as a lower-cost alternative to traditional consulting, which often costs thousands of dollars for similar strategy work.

Rocket raised a $15 million seed round in September from Accel, Salesforce Ventures, and Together Fund. Since then, the startup says it has grown from 400,000 to over 1.5 million users across 180 countries. It also reported an annualized average revenue per user in the ~$4,000 range, though it did not disclose detailed paying customer numbers. The startup said it operates at gross margins of over 50%, with 20–30% of its customers being small- and medium-sized businesses.

Rocket has a team of 57 employees and is headquartered in Surat, with operations in Palo Alto.

#startup #Rocket #offers #vibe #McKinseystyle #reports #fraction #cost #TechCrunchrocket,vibe coding
published last month in JAMA Network Open.

Shooting impulses

Though the death rate has declined slightly in recent years, gun violence remains an urgent public health threat in the U.S. About 44,000 Americans died from firearms in 2024, while more than 200 people on average every day visit an emergency room with firearm wounds.

While plenty of research has focused on the things that could predispose someone to gun violence, the researchers say there’s been little focus on quantifying how many people might consider using a gun in the first place. So they decided to analyze data from the National Firearms, Alcohol, Cannabis, and Suicide survey, which is run out of the University of Michigan. Between May and September 2025, the project polled roughly 7,000 adults from across the country about various gun and drug-related topics.

All in all, 3.3% of respondents said they had seriously thought about shooting someone else in the past year, while 7.3% admitted to having thought about it at some point in their lives. About 1.6% of people also thought about acquiring a gun for the purpose of shooting someone, while 0.6% reported having brought a gun to a specific location with the intent of shooting someone.

Of those who reported thinking about shooting someone else, the most likely potential target would have been “an enemy” (51%), followed by a complete stranger (24.6%). About 14% had wanted to shoot a government official; roughly 10% had thought about shooting a current or former romantic partner; and just under 7% a co-worker or boss.

What makes someone trigger-happy?

The survey data might also provide some insight into what makes people more likely to contemplate gun violence.

Risk factors associated with thinking about shooting someone else, for instance, included: being younger, being male, being Black, living in a city, living in the Midwest, and having less formal education. On the other hand, factors like income, gun ownership, and political party affiliation weren’t associated with any higher risk.

“The demographic correlates of these thoughts were consistent with those for firearm interpersonal violence, suggesting the existence a high-risk group even in the absence of gun ownership,” the authors noted.

And though it’s not clear how best to predict whether someone will go from thinking about gun violence to actually perpetuating it, there might yet be opportunities to intervene before it’s too late, the researchers say. Based on the survey data, about 1.5% of Americans have previously told others about their thoughts of shooting someone else, while 0.5% have gone as far as to have others store their guns for safekeeping during a crisis.

“This provides a point of intervention, especially in states with extreme risk protection order or red flag laws that allow for the temporary removal of firearms,” they wrote.

Here’s How Many Americans Have Ever Thought About Shooting Someone Else
                If you’re ever been morbidly curious about how many of us would ever give into our darkest impulses, you’re in luck. A recent sobering study shows that a sizable amount of people in the U.S. have seriously considered shooting someone else at least once in their lives. Researchers in Michigan examined nationally representative survey data. They found that an estimated 7% of Americans—more than 19 million—had thought about shooting another person in their lifetime. Interestingly enough, factors like already owning a gun weren’t associated with an added risk of having these desires, though others like living in a city or being younger were.

 “Prevention efforts are needed to address gun violence risk among those with and without access to firearms,” the authors wrote in their paper, published last month in JAMA Network Open. Shooting impulses Though the death rate has declined slightly in recent years, gun violence remains an urgent public health threat in the U.S. About 44,000 Americans died from firearms in 2024, while more than 200 people on average every day visit an emergency room with firearm wounds. While plenty of research has focused on the things that could predispose someone to gun violence, the researchers say there’s been little focus on quantifying how many people might consider using a gun in the first place. So they decided to analyze data from the National Firearms, Alcohol, Cannabis, and Suicide survey, which is run out of the University of Michigan. Between May and September 2025, the project polled roughly 7,000 adults from across the country about various gun and drug-related topics.

 All in all, 3.3% of respondents said they had seriously thought about shooting someone else in the past year, while 7.3% admitted to having thought about it at some point in their lives. About 1.6% of people also thought about acquiring a gun for the purpose of shooting someone, while 0.6% reported having brought a gun to a specific location with the intent of shooting someone.

 Of those who reported thinking about shooting someone else, the most likely potential target would have been “an enemy” (51%), followed by a complete stranger (24.6%). About 14% had wanted to shoot a government official; roughly 10% had thought about shooting a current or former romantic partner; and just under 7% a co-worker or boss. What makes someone trigger-happy? The survey data might also provide some insight into what makes people more likely to contemplate gun violence. Risk factors associated with thinking about shooting someone else, for instance, included: being younger, being male, being Black, living in a city, living in the Midwest, and having less formal education. On the other hand, factors like income, gun ownership, and political party affiliation weren’t associated with any higher risk.

 “The demographic correlates of these thoughts were consistent with those for firearm interpersonal violence, suggesting the existence a high-risk group even in the absence of gun ownership,” the authors noted. And though it’s not clear how best to predict whether someone will go from thinking about gun violence to actually perpetuating it, there might yet be opportunities to intervene before it’s too late, the researchers say. Based on the survey data, about 1.5% of Americans have previously told others about their thoughts of shooting someone else, while 0.5% have gone as far as to have others store their guns for safekeeping during a crisis.

 “This provides a point of intervention, especially in states with extreme risk protection order or red flag laws that allow for the temporary removal of firearms,” they wrote.  Also, for those of you wondering, yes, I was inspired to write about this study after recently seeing The Drama.      #Heres #Americans #Thought #Shootingfirearms,gun violence

Also, for those of you wondering, yes, I was inspired to write about this study after recently seeing The Drama.

#Heres #Americans #Thought #Shootingfirearms,gun violence">Here’s How Many Americans Have Ever Thought About Shooting Someone Else
                If you’re ever been morbidly curious about how many of us would ever give into our darkest impulses, you’re in luck. A recent sobering study shows that a sizable amount of people in the U.S. have seriously considered shooting someone else at least once in their lives. Researchers in Michigan examined nationally representative survey data. They found that an estimated 7% of Americans—more than 19 million—had thought about shooting another person in their lifetime. Interestingly enough, factors like already owning a gun weren’t associated with an added risk of having these desires, though others like living in a city or being younger were.

 “Prevention efforts are needed to address gun violence risk among those with and without access to firearms,” the authors wrote in their paper, published last month in JAMA Network Open. Shooting impulses Though the death rate has declined slightly in recent years, gun violence remains an urgent public health threat in the U.S. About 44,000 Americans died from firearms in 2024, while more than 200 people on average every day visit an emergency room with firearm wounds. While plenty of research has focused on the things that could predispose someone to gun violence, the researchers say there’s been little focus on quantifying how many people might consider using a gun in the first place. So they decided to analyze data from the National Firearms, Alcohol, Cannabis, and Suicide survey, which is run out of the University of Michigan. Between May and September 2025, the project polled roughly 7,000 adults from across the country about various gun and drug-related topics.

 All in all, 3.3% of respondents said they had seriously thought about shooting someone else in the past year, while 7.3% admitted to having thought about it at some point in their lives. About 1.6% of people also thought about acquiring a gun for the purpose of shooting someone, while 0.6% reported having brought a gun to a specific location with the intent of shooting someone.

 Of those who reported thinking about shooting someone else, the most likely potential target would have been “an enemy” (51%), followed by a complete stranger (24.6%). About 14% had wanted to shoot a government official; roughly 10% had thought about shooting a current or former romantic partner; and just under 7% a co-worker or boss. What makes someone trigger-happy? The survey data might also provide some insight into what makes people more likely to contemplate gun violence. Risk factors associated with thinking about shooting someone else, for instance, included: being younger, being male, being Black, living in a city, living in the Midwest, and having less formal education. On the other hand, factors like income, gun ownership, and political party affiliation weren’t associated with any higher risk.

 “The demographic correlates of these thoughts were consistent with those for firearm interpersonal violence, suggesting the existence a high-risk group even in the absence of gun ownership,” the authors noted. And though it’s not clear how best to predict whether someone will go from thinking about gun violence to actually perpetuating it, there might yet be opportunities to intervene before it’s too late, the researchers say. Based on the survey data, about 1.5% of Americans have previously told others about their thoughts of shooting someone else, while 0.5% have gone as far as to have others store their guns for safekeeping during a crisis.

 “This provides a point of intervention, especially in states with extreme risk protection order or red flag laws that allow for the temporary removal of firearms,” they wrote.  Also, for those of you wondering, yes, I was inspired to write about this study after recently seeing The Drama.      #Heres #Americans #Thought #Shootingfirearms,gun violence

last month in JAMA Network Open.

Shooting impulses

Though the death rate has declined slightly in recent years, gun violence remains an urgent public health threat in the U.S. About 44,000 Americans died from firearms in 2024, while more than 200 people on average every day visit an emergency room with firearm wounds.

While plenty of research has focused on the things that could predispose someone to gun violence, the researchers say there’s been little focus on quantifying how many people might consider using a gun in the first place. So they decided to analyze data from the National Firearms, Alcohol, Cannabis, and Suicide survey, which is run out of the University of Michigan. Between May and September 2025, the project polled roughly 7,000 adults from across the country about various gun and drug-related topics.

All in all, 3.3% of respondents said they had seriously thought about shooting someone else in the past year, while 7.3% admitted to having thought about it at some point in their lives. About 1.6% of people also thought about acquiring a gun for the purpose of shooting someone, while 0.6% reported having brought a gun to a specific location with the intent of shooting someone.

Of those who reported thinking about shooting someone else, the most likely potential target would have been “an enemy” (51%), followed by a complete stranger (24.6%). About 14% had wanted to shoot a government official; roughly 10% had thought about shooting a current or former romantic partner; and just under 7% a co-worker or boss.

What makes someone trigger-happy?

The survey data might also provide some insight into what makes people more likely to contemplate gun violence.

Risk factors associated with thinking about shooting someone else, for instance, included: being younger, being male, being Black, living in a city, living in the Midwest, and having less formal education. On the other hand, factors like income, gun ownership, and political party affiliation weren’t associated with any higher risk.

“The demographic correlates of these thoughts were consistent with those for firearm interpersonal violence, suggesting the existence a high-risk group even in the absence of gun ownership,” the authors noted.

And though it’s not clear how best to predict whether someone will go from thinking about gun violence to actually perpetuating it, there might yet be opportunities to intervene before it’s too late, the researchers say. Based on the survey data, about 1.5% of Americans have previously told others about their thoughts of shooting someone else, while 0.5% have gone as far as to have others store their guns for safekeeping during a crisis.

“This provides a point of intervention, especially in states with extreme risk protection order or red flag laws that allow for the temporary removal of firearms,” they wrote.

Here’s How Many Americans Have Ever Thought About Shooting Someone Else
                If you’re ever been morbidly curious about how many of us would ever give into our darkest impulses, you’re in luck. A recent sobering study shows that a sizable amount of people in the U.S. have seriously considered shooting someone else at least once in their lives. Researchers in Michigan examined nationally representative survey data. They found that an estimated 7% of Americans—more than 19 million—had thought about shooting another person in their lifetime. Interestingly enough, factors like already owning a gun weren’t associated with an added risk of having these desires, though others like living in a city or being younger were.

 “Prevention efforts are needed to address gun violence risk among those with and without access to firearms,” the authors wrote in their paper, published last month in JAMA Network Open. Shooting impulses Though the death rate has declined slightly in recent years, gun violence remains an urgent public health threat in the U.S. About 44,000 Americans died from firearms in 2024, while more than 200 people on average every day visit an emergency room with firearm wounds. While plenty of research has focused on the things that could predispose someone to gun violence, the researchers say there’s been little focus on quantifying how many people might consider using a gun in the first place. So they decided to analyze data from the National Firearms, Alcohol, Cannabis, and Suicide survey, which is run out of the University of Michigan. Between May and September 2025, the project polled roughly 7,000 adults from across the country about various gun and drug-related topics.

 All in all, 3.3% of respondents said they had seriously thought about shooting someone else in the past year, while 7.3% admitted to having thought about it at some point in their lives. About 1.6% of people also thought about acquiring a gun for the purpose of shooting someone, while 0.6% reported having brought a gun to a specific location with the intent of shooting someone.

 Of those who reported thinking about shooting someone else, the most likely potential target would have been “an enemy” (51%), followed by a complete stranger (24.6%). About 14% had wanted to shoot a government official; roughly 10% had thought about shooting a current or former romantic partner; and just under 7% a co-worker or boss. What makes someone trigger-happy? The survey data might also provide some insight into what makes people more likely to contemplate gun violence. Risk factors associated with thinking about shooting someone else, for instance, included: being younger, being male, being Black, living in a city, living in the Midwest, and having less formal education. On the other hand, factors like income, gun ownership, and political party affiliation weren’t associated with any higher risk.

 “The demographic correlates of these thoughts were consistent with those for firearm interpersonal violence, suggesting the existence a high-risk group even in the absence of gun ownership,” the authors noted. And though it’s not clear how best to predict whether someone will go from thinking about gun violence to actually perpetuating it, there might yet be opportunities to intervene before it’s too late, the researchers say. Based on the survey data, about 1.5% of Americans have previously told others about their thoughts of shooting someone else, while 0.5% have gone as far as to have others store their guns for safekeeping during a crisis.

 “This provides a point of intervention, especially in states with extreme risk protection order or red flag laws that allow for the temporary removal of firearms,” they wrote.  Also, for those of you wondering, yes, I was inspired to write about this study after recently seeing The Drama.      #Heres #Americans #Thought #Shootingfirearms,gun violence

Also, for those of you wondering, yes, I was inspired to write about this study after recently seeing The Drama.

#Heres #Americans #Thought #Shootingfirearms,gun violence">Here’s How Many Americans Have Ever Thought About Shooting Someone Else

If you’re ever been morbidly curious about how many of us would ever give into our darkest impulses, you’re in luck. A recent sobering study shows that a sizable amount of people in the U.S. have seriously considered shooting someone else at least once in their lives.

Researchers in Michigan examined nationally representative survey data. They found that an estimated 7% of Americans—more than 19 million—had thought about shooting another person in their lifetime. Interestingly enough, factors like already owning a gun weren’t associated with an added risk of having these desires, though others like living in a city or being younger were.

“Prevention efforts are needed to address gun violence risk among those with and without access to firearms,” the authors wrote in their paper, published last month in JAMA Network Open.

Shooting impulses

Though the death rate has declined slightly in recent years, gun violence remains an urgent public health threat in the U.S. About 44,000 Americans died from firearms in 2024, while more than 200 people on average every day visit an emergency room with firearm wounds.

While plenty of research has focused on the things that could predispose someone to gun violence, the researchers say there’s been little focus on quantifying how many people might consider using a gun in the first place. So they decided to analyze data from the National Firearms, Alcohol, Cannabis, and Suicide survey, which is run out of the University of Michigan. Between May and September 2025, the project polled roughly 7,000 adults from across the country about various gun and drug-related topics.

All in all, 3.3% of respondents said they had seriously thought about shooting someone else in the past year, while 7.3% admitted to having thought about it at some point in their lives. About 1.6% of people also thought about acquiring a gun for the purpose of shooting someone, while 0.6% reported having brought a gun to a specific location with the intent of shooting someone.

Of those who reported thinking about shooting someone else, the most likely potential target would have been “an enemy” (51%), followed by a complete stranger (24.6%). About 14% had wanted to shoot a government official; roughly 10% had thought about shooting a current or former romantic partner; and just under 7% a co-worker or boss.

What makes someone trigger-happy?

The survey data might also provide some insight into what makes people more likely to contemplate gun violence.

Risk factors associated with thinking about shooting someone else, for instance, included: being younger, being male, being Black, living in a city, living in the Midwest, and having less formal education. On the other hand, factors like income, gun ownership, and political party affiliation weren’t associated with any higher risk.

“The demographic correlates of these thoughts were consistent with those for firearm interpersonal violence, suggesting the existence a high-risk group even in the absence of gun ownership,” the authors noted.

And though it’s not clear how best to predict whether someone will go from thinking about gun violence to actually perpetuating it, there might yet be opportunities to intervene before it’s too late, the researchers say. Based on the survey data, about 1.5% of Americans have previously told others about their thoughts of shooting someone else, while 0.5% have gone as far as to have others store their guns for safekeeping during a crisis.

“This provides a point of intervention, especially in states with extreme risk protection order or red flag laws that allow for the temporary removal of firearms,” they wrote.

Here’s How Many Americans Have Ever Thought About Shooting Someone Else
                If you’re ever been morbidly curious about how many of us would ever give into our darkest impulses, you’re in luck. A recent sobering study shows that a sizable amount of people in the U.S. have seriously considered shooting someone else at least once in their lives. Researchers in Michigan examined nationally representative survey data. They found that an estimated 7% of Americans—more than 19 million—had thought about shooting another person in their lifetime. Interestingly enough, factors like already owning a gun weren’t associated with an added risk of having these desires, though others like living in a city or being younger were.

 “Prevention efforts are needed to address gun violence risk among those with and without access to firearms,” the authors wrote in their paper, published last month in JAMA Network Open. Shooting impulses Though the death rate has declined slightly in recent years, gun violence remains an urgent public health threat in the U.S. About 44,000 Americans died from firearms in 2024, while more than 200 people on average every day visit an emergency room with firearm wounds. While plenty of research has focused on the things that could predispose someone to gun violence, the researchers say there’s been little focus on quantifying how many people might consider using a gun in the first place. So they decided to analyze data from the National Firearms, Alcohol, Cannabis, and Suicide survey, which is run out of the University of Michigan. Between May and September 2025, the project polled roughly 7,000 adults from across the country about various gun and drug-related topics.

 All in all, 3.3% of respondents said they had seriously thought about shooting someone else in the past year, while 7.3% admitted to having thought about it at some point in their lives. About 1.6% of people also thought about acquiring a gun for the purpose of shooting someone, while 0.6% reported having brought a gun to a specific location with the intent of shooting someone.

 Of those who reported thinking about shooting someone else, the most likely potential target would have been “an enemy” (51%), followed by a complete stranger (24.6%). About 14% had wanted to shoot a government official; roughly 10% had thought about shooting a current or former romantic partner; and just under 7% a co-worker or boss. What makes someone trigger-happy? The survey data might also provide some insight into what makes people more likely to contemplate gun violence. Risk factors associated with thinking about shooting someone else, for instance, included: being younger, being male, being Black, living in a city, living in the Midwest, and having less formal education. On the other hand, factors like income, gun ownership, and political party affiliation weren’t associated with any higher risk.

 “The demographic correlates of these thoughts were consistent with those for firearm interpersonal violence, suggesting the existence a high-risk group even in the absence of gun ownership,” the authors noted. And though it’s not clear how best to predict whether someone will go from thinking about gun violence to actually perpetuating it, there might yet be opportunities to intervene before it’s too late, the researchers say. Based on the survey data, about 1.5% of Americans have previously told others about their thoughts of shooting someone else, while 0.5% have gone as far as to have others store their guns for safekeeping during a crisis.

 “This provides a point of intervention, especially in states with extreme risk protection order or red flag laws that allow for the temporary removal of firearms,” they wrote.  Also, for those of you wondering, yes, I was inspired to write about this study after recently seeing The Drama.      #Heres #Americans #Thought #Shootingfirearms,gun violence

Also, for those of you wondering, yes, I was inspired to write about this study after recently seeing The Drama.

#Heres #Americans #Thought #Shootingfirearms,gun violence

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