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🌐What Is The US "Gas Stove Ban" Really About?🌐
January 15, 2023
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(Dinarian Note: As you read this and get to the end.. after you read and realize this is a typical, Problem-Reaction-Solution play by THEM. Think control via "Carbon Credits"...)

The Biden administration is apparently looking to ban gas stoves, calling them a “hidden danger”. But while that sounds bad enough, a deeper dive shows – as usual – it’s not really about what they say it’s about.

Talk of banning gas stoves and “unregulated indoor air quality” could be a Trojan horse designed to get even more “smart” monitoring technology into your home.

Let’s jump in...

ARE GAS STOVES DANGEROUS?

Well, according to Alexandria Ocasio Cortez, the New Scientist and million other outlets and pundits who started talking about it in the last two days, yes.

Earlier this week near-identical articles from the National Review, Bloomberg and CNN detail how the US Consumer Product Safety Commission will be opening “public comment on the dangers of gas stoves sometime this winter”.

The articles claim:

The emissions have been linked to illness, cardiovascular problems, cancer, and other health conditions. More than 12 percent of current childhood asthma cases are linked to gas stove use, according to peer-reviewed research published in the International Journal of Environmental Research and Public Health last month.

Now would be a good time to talk about the phrase “linked to”. It’s always a good one to look out for in any mainstream publication. Journalists love it because it implies causation without stating it.

Consider, one hundred per cent of serial killers have been linked to the ingestion of water and the wearing of shoes.

If this manipulative use of language were not evidence enough of an agenda, the rather premature deployment of the race card proves it:

Senator Cory Booker (D., N.J.) and Representative Don Beyer (D., Va.) wrote a letter to the agency last month urging the commission to address the issue and calling the harmful emissions a “cumulative burden” on black, Latino and low-income households.

SO, WILL THEY BAN THEM?

Actually, probably not.

Considering that, according to Bloomberg, some 40% of US homes use gas stoves to cook, an outright ban would be impractical to the point of madness. You can’t criminalise 40% of the country. It would be almost unenforceable.

Perhaps they might try a “phasing out”, as they plan for petrol cars in California.

But most likely of all is that this was never really about banning stoves in the first place.

OK, SO WHAT’S IT REALLY ABOUT?

What we’re seeing here looks to be your classic bait-and-switch. Having established a “problem”, the powers that be suggest a solution they have no intention of ever carrying out (the more unreasonable the better).

When this measure is inevitably rejected by the public, the government will then proceed to suggest – or pay an NGO to suggest to them – a “compromise” measure.

The compromise is no compromise at all, of course, but actually what they wanted to do from the beginning. Nevertheless, the whole process is sold in the media as a victory for whichever party happens to be in opposition, and cited as evidence that “the system works”.

Tellingly, as I am writing this, Biden has already “ruled out a ban due to backlash”, and Vox were already using the “compromise” a lot in an article they published yesterday.

However, what that “compromise” would be in this case isn’t clear at first, you have to do a little digging.

One clue is present in the National Review article [emphasis added]:

The Association of Home Appliance Manufacturers argues that cooking produces harmful emissions regardless of the kind of stove used. “Ventilation is really where this discussion should be, rather than banning one particular type of technology,” Jill Notini, a vice president at the association, told Bloomberg. “Banning one type of a cooking appliance is not going to address the concerns about overall indoor air quality. We may need some behavior change, we may need [people] to turn on their hoods when cooking.”

And you’ll find another in the abstract of the original report on “Cooking With Gas, Household Air Pollution, and Asthma: Little Recognized Risk for Children”, published in the Journal of Environmental Science in April 2021:

The impact [of gas stove cooking] on children can be substantial because [
] indoor air is unregulated.

“Ventilation is where this discussion should be”, after all “cooking produces harmful emissions regardless of the kind of stove” and a ban wouldn’t address “concerns about overall indoor air quality” which is currently “unregulated”.

Do you see where this is going?

It’s not about gas stoves, and it’s not about asthma – it’s about “indoor air pollution”, and more importantly how they plan on “regulating” it.

In one of those startling coincidences we’ve all got so used to witnessing in modern geopolitics, just as the US is talking about indoor air quality because of gas stoves, other countries around the world are doing the same thing for totally different reasons.

Singapore is considering new regulations on indoor air quality too, but because of formaldahyde.

Last month The Conversation was running articles claiming “indoor air pollution kills”, while Sir Chris Whitty, the UK’s chief medical officer, was “demanding action on indoor air pollution”.

On Monday, in a Guardian lifestyle piece purportedly about scented candles, Svetlana Stevanovic calls indoor air quality a “going concern”.

Two days ago The Tyee, an “independent” Canadian magazine which receives some funding from the Canadian government, ran an op-ed headlined:

We Need a Revolution in Clean Indoor Air

Which attempts to link improving indoor air quality to “ending Covid” (whilst making sure to sufficiently fluff the vaccines, of course).

Just yesterday the Irish Times published an article about the dangers of poor indoor air quality.

In a rather interesting piece of timing, the air hygiene technology company AeroClean and Molekule, a market leader for air purifiers, finalised a public stock merger
also just yesterday.

Two days ago it was announced IKEA would be selling their own smart air monitors, the same day Samsung announced their new “smart air purifier”.

Earlier today Chinese tech giant Xiaomi issued a media release about their new smart air monitoring technology.

A recent report expects the global air monitor technology market to swell to nearly 6 billion dollars in the next three years.

But I’m sure this is all just a coincidence.

WHERE DOES THIS LEAD?

Well, if I had to guess I would suggest some new “smart” technology is coming that will monitor air quality and indoor C02 emissions. Like smart electricity and water meters, but for your air.

Interestingly, the World Economic Forum agrees with me, publishing an article on their website last July headlined “Indoor air pollution: What causes it and how to tackle it”, which claims:

indoor air pollutants can now be detected with more precise, efficient, and compact sensors thanks to advances in environmental sensing technology. As a result, intelligent home systems may soon use sensors like these to keep track of indoor air quality and notify the ventilation system before dangerous levels are reached.

As part of “backing down” from the stove ban, they will introduce a new bill which sees “smart air monitors” become mandatory in all new-build houses, hotels and rented accommodation.

Just like smart electricity meters, smart air monitors would almost certainly be used to harvest huge amounts of data and give states or corporations the ability to control your home.

If your “indoor air” isn’t “clean” enough; if you use your stove too much, burn too many scented candles or emit too much co2, expect to get penalized  in some fashion until you learn how to be more responsible.

More smart technology, more monitoring, and ultimately more control.

So, while it’s possible the gas stove ban talk will resolve itself into the cliche new tax or fines or some other petty scheme for bilking the many out of their wages, the signs are certainly there it might be something more sinister. 

Meanwhile, expect to keep seeing reports on gas stoves damaging the climate, or stories about poor indoor air quality making covid worse.

The usual bought-and-paid-for columns that support every new normal narrative.

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Revolut Leak Shows the Cost of Constant ID Collection
Revolut’s mistake is the news, but the bigger problem is the growing number of companies being encouraged or required to keep copies of our most sensitive identity documents.

Online bank Revolut has revealed that it gave out sensitive personal and financial information of an undisclosed number of its customers in response to a fake government request.

The information that was handed over to an “unauthorized third party” reportedly includes names, dates of birth, occupations, addresses, phone numbers, account numbers, transaction histories (including Bitcoin), and even copies of government-issued IDs and onboarding verification selfies.

Revolut claims that derived biometric face data was not.

The company said that the data was handed over in response to an email that came from a real government agency’s domain, but was not actually sent or authorized by that agency.

The email passed several authentication checks (SPF, DKIM, and DMARC) that are designed to establish the authenticity of a message’s origin and integrity, but do not verify the legitimacy of the legal request itself.

Revolut said that it complied with the request “under the reasonable belief that it was an authentic government agency request” – and only later found out that it was not.

Revolut said it later realized its mistake, blocked the email address, and reported the incident to the relevant authorities.

Revolut said that only a “limited” number of its customers were affected by the data leak, and that the company’s systems were not hacked, nor was any money stolen.

The story broke on September 11 when Revolut customers started receiving an email notice about a data leak, and the news was picked up by media outlets the following day.

Revolut notice explaining customer identity and financial data was shared after an unauthorized government email request.

The reason this is a recurring problem is that companies are keeping highly sensitive information about their customers’ identities, and sometimes even financial transactions, for a long time, and this data is then available to be disclosed to third parties – either in response to valid legal requests, or, as in the case of Revolut, fake ones.

One reason for this is know your customer (KYC) and anti-money laundering (AML) rules. Revolut’s current UK customer privacy notice spells it out: the company generally keeps personal data of UK customers for no more than seven years after the relationship ends, and sometimes longer – for legal reasons.

This means that even if you close your account, your identity documents don’t disappear.

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This was not a financial service, nor the same type of attack. But the result was similar – because the underlying business process was the same: requiring and storing sensitive identity documents. In the case of Discord, these were used to review age-related appeals.

It’s hard to do anything about a copy of your old passport, or a photo of your face, or a record of your past transactions. These can be used to identify and profile you, and can be used to carry out targeted fraud. And this can happen even if the initial disclosure didn’t result in financial loss.

The more companies are forced to collect and store such information, and the more of it they have, the more opportunities there are for this data to be leaked, either by the company itself or a third party it works with. That's what makes governments' push for more ID checks just to access ordinary parts of life so reckless.

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This Is The Income A Family Needs To Live Comfortably In Every US State

Here’s the short version of what it takes for a family of four to live comfortably in 2026 by state:

In Massachusetts, you’d need nearly $330,000 a year - the highest figure in the entire country. Only three states clear the $300,000 mark: Massachusetts, Hawaii, and California. At the other end of the spectrum, Mississippi is the most affordable at about $188,000. That’s a full $142,000 less than what you’d need in Massachusetts.

So
 how much does a family of four need in your state?

This map shows the pre-tax income a household with two working adults and two kids needs to live comfortably in every U.S. state.

The numbers come from SmartAsset (as of February 2026). They’re based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These aren’t bare-minimum survival numbers—they’re what it takes to live pretty well while still putting money aside.

And as Visual Capitalist notes, Massachusetts sits at the very top of that list. Massachusetts tops the ranking, with a family of four needing $329,555 per year to meet the 50/30/20 benchmark.

Hawaii follows at $313,165, while California ranks third at $302,682.

Rank State Income needed for family of four (2026)

  • 1 - Massachusetts - $329,555
  • 2 - Hawaii - $313,165
  • 3 - California - $302,682
  • 4 - Connecticut - $298,189
  • 5 - New Jersey - $295,110
  • 6 - New York - $291,533
  • 7 - Colorado - $283,213
  • 8 - Washington - $281,798
  • 9 - Oregon - $280,966
  • 10 - Vermont - $280,384
  • 11 - Alaska - $272,064
  • 12 - New Hampshire - $267,904
  • 13 - Rhode Island - $264,659
  • 14 - Minnesota - $263,078
  • 15 - Maryland - $257,837
  • 16 - Maine - $250,931
  • 17 - Montana - $249,434
  • 18 - Pennsylvania - $247,936
  • 19 - Illinois - $244,109
  • 20 - Virginia - $242,944
  • 21 - Nevada - $242,278
  • 22 - Indiana - $241,696
  • 23 - Wisconsin - $238,451
  • 24 - Arizona - $236,870
  • 25 - Utah - $235,789
  • 26 - Delaware - $228,134
  • 27 - Ohio - $226,221
  • 28 - Idaho - $226,054
  • 29 - Florida - $223,392
  • 30 - New Mexico - $223,142
  • 31 - Nebraska - $223,059
  • 32 - Missouri - $217,734
  • 33 - Georgia - $214,573
  • 34 - Michigan - $214,323
  • 35 - South Carolina - $212,909
  • 36 - North Carolina - $212,410
  • 37 - Wyoming - $212,410
  • 38 - Oklahoma - $211,910
  • 39 - North Dakota - $210,496
  • 40 - Kansas - $207,917
  • 41 - Iowa - $204,422
  • 42 - Texas - $203,424
  • 43 - West Virginia - $202,592
  • 44 - South Dakota - $201,760
  • 45 - Alabama - $198,931
  • 46 - Louisiana - $197,933
  • 47 - Tennessee - $197,267
  • 48 - Arkansas - $195,437
  • 49 - Kentucky - $194,854
  • 50 - Mississippi - $187,533

Connecticut, New Jersey, and New York aren't far behind, bringing the number of states with comfortable-income thresholds above $290,000 to six.

Colorado and Vermont Make the Top 10

As expected, many of the highest income thresholds are concentrated in the Northeast and along the West Coast.

However, Colorado has the seventh-highest threshold in the country at $283,213, ranking above Washington and Oregon.

Vermont rounds out the top 10 at $280,384, despite having the second-smallest population of any U.S. state. Meanwhile, nearby states like New Hampshire, Maine, and Rhode Island all fall outside the top 10.

Just Six States Come in Below $200,000

Despite the wide range in living costs across the country, only six states have a comfortable-income threshold below $200,000 for a family of four.

Mississippi ranks lowest at $187,533, followed by Kentucky. The states of Arkansas, Tennessee, Louisiana, and Alabama also fall below the $200,000 mark.

The gap between Massachusetts and Mississippi exceeds $142,000 per year, meaning the Massachusetts benchmark is about 76% higher.

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đŸ€–Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?đŸ€–
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
 
Now that AI is moving into the physical world, many are asking a bigger question:
 
Will these same companies end up controlling robotics too?
 
It's a valid concern.
 
The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.
 
That movement is decentralized AI.
 
Why Decentralized AI Exists
 
The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.
 
This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
 
Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.
 
Why This Matters for Robotics
 
Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.
 
The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.
 
This is where decentralized systems become interesting.
 
Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
 
Imagine a future where:
  • Warehouse robots contribute operational data.
  • Delivery robots contribute navigation data.
  • Factory robots contribute manipulation data.
  • Developers contribute models.
  • Validators evaluate performance.
The resulting intelligence becomes a shared network rather than a proprietary asset.
 
That vision is beginning to emerge.
 
Bittensor's Move Toward Physical AI
 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
 
One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.
 
The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.
 
In other words, the pieces are starting to appear.
 
Not a decentralized robot network yet.
 
But the infrastructure that could support one.
 
Beyond Bittensor: The Rise of Physical AI Networks
 
Bittensor isn't alone.
 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
 
New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.
 
At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.
 
The goal is not simply decentralization for its own sake.
 
The goal is resilience.
 
If one server fails, the system continues.
 
If one company disappears, the network survives.
 
If one participant leaves, innovation continues.
 
But Here's the Reality
 
Decentralized AI faces the same challenge every decentralized technology faces.
 
Big Tech has resources. A lot of resources.
 
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
 
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
 
And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.
 
The challenge isn't just decentralizing intelligence.
 
It's decentralizing intelligence while maintaining performance.
 
That's much harder.
 
The Most Likely Outcome
 
The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.
 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
 
The companies building robots may use NVIDIA hardware.
 
Train on Azure.
 
Run foundation models from OpenAI.
 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
 
The Bigger Question
 
The real question isn't whether decentralized AI can eliminate Big Tech.
 
It can't.
 
At least not anytime soon.
 
The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.
 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
 
Because the battle for the future of robotics is no longer about hardware.
 
It's about who owns the intelligence.
 
And that battle is just getting started.
 
 

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