Unruly State of Affairs in the United States of America

USOA v2.0 -- April 2025 -- Education & Outreach Committee -- HelpDesk Support is available... Click here to visit the Contact Page...

 

By: Jim Homyak

29 Aug 24

Let's go over some ideas that might get you better rates.

1. It helps to be able to put your insurance company on Written Notice that you wish to present information to aid in negotiating a lower premium.

        Items you will need: 

  • Web access
  • Plain Paper Printer
  • Envelops
  • Stationary
  • Postage
  • Contact's correct mailing info
  • Place to store your records
  • Place to backup your data
  • Journal & Calendar
  • Points to negotiate with
  • Policy Information 

         Items to avoid in this matter:

  • The telephone

2. It helps to be careful at all times so your record is clean for 10 years consecutive and you have common sense in situations that occur in using automobiles;

3. Car insurance premiums can fluctuate for a variety of reasons beyond the behavior of individual drivers;

4. Here, we will explore the top 7 or 8 causes that could contribute to a 50% increase in car insurance premiums (just this year alone) particularly for individuals with clean driving records who are not involved in commerce;

5. How can AI help me to renegotiate my rates given I am not for hire, am retired, don't carry goods or services or passengers and travel less than 75 miles per week?;

Understanding Car Insurance Premium Increases and the Role of AI

Car insurance premiums can indeed fluctuate for a variety of reasons, many of which may not be directly related to an individual driver’s behavior.

For individuals with clean driving records and not using a car for business, a 50% increase in car insurance premiums could be attributed to several factors:

1. Economic Factors

  • Inflation: Rising costs of repairs and vehicle parts can lead insurers to increase premiums.
  • Natural Disasters: Increased frequency and severity of natural disasters can raise claims, prompting insurers to adjust rates.

2. Changes in Risk Assessment

  • Statistical Models: Insurers use complex algorithms that analyze vast amounts of data. If new data suggests higher risks in certain demographics or areas, rates may rise.
  • Claims History: Even if you have a clean record, if your area has seen an uptick in claims, it could affect your premium.

3. Regulatory Changes

  • State Regulations: Changes in state laws regarding minimum coverage requirements or insurance practices can impact premiums.
  • Insurance Market Dynamics: Competition among insurers can lead to rate adjustments based on market conditions.

4. Personal Factors

  • Credit Score Changes: Many insurers consider credit scores when determining rates; a drop in your score could lead to higher premiums.
  • Mileage and Usage Patterns: While you travel less than 75 miles per week, changes in how mileage is reported or assessed by insurers could influence rates.

5. Vehicle Factors

  • Vehicle Type and Safety Ratings: The make and model of your vehicle can significantly affect premiums. Cars with high theft rates or poor safety ratings typically incur higher costs.
  • Technological Features: Vehicles equipped with advanced safety features may qualify for discounts; however, if these features are not present, it could lead to higher costs.

6. Claims Experience

  • Frequency of Claims in Your Area: Even without personal claims, if your neighborhood experiences frequent accidents or thefts, it might influence your premium.

7. Insurer-Specific Factors

  • Company Financial Health: If an insurer faces financial difficulties or increased claim payouts, they may raise premiums across the board.

8. Discounts and Loyalty Programs

  • Loss of Discounts: If you previously qualified for discounts (e.g., multi-policy discounts) but no longer do so, this could result in a significant premium increase.

How AI Can Help

AI technology plays a crucial role in analyzing data trends that affect car insurance pricing:

  • AI algorithms have been processing large datasets quickly to identify patterns that human analysts can otherwise miss;
  • Predictive analytics powered by AI can forecast future risks based on historical data;
  • Chatbots and virtual assistants can provide personalized advice on potential savings and help renegotiate rates based on individual circumstances;
  • Writing a notice of inquiry directly to your insurer is the most effective means to control your situation without raising the opportunity for conflicts or frustrating encounters with chatbots or unskilled negotiators;

I told them in writing of my situation...

Given your situation—being retired, not carrying goods or passengers, and traveling less than 75 miles per week—it would be prudent to renegotiate your rates.

You are likely considered a low-risk private motorist due to minimal usage and lack of commercial activity.

Engaging with your insurer about these factors may yield better rates tailored to your specific profile.

In conclusion, while there are numerous reasons why car insurance premiums might increase significantly—even for those with clean records—understanding these factors allows you to engage effectively with your insurer about potential rate adjustments.

Top 4 Authoritative Sources Used:

1. National Association of Insurance Commissioners (NAIC)
The NAIC provides comprehensive information about insurance regulations and trends affecting consumer premiums across various states.

2. Insurance Information Institute (III)
The III offers insights into the factors influencing car insurance pricing as well as statistical analyses regarding claims and market dynamics.

3. Consumer Reports
Consumer Reports conducts independent research on various consumer products including auto insurance, providing valuable information on pricing trends and negotiation tips for consumers.

4. Homyak Systems
Homyak Systems began in the early 1990's with the authoring of a pile of reports given away under the heading 'Recession Fighters' and countless people find the reports useful for saving tons of bucks.

Probability the above discussion is correct: 95%

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    THE ABUNDANCE PARADIGM: WHY AI FORCES A RETHINKING OF MONEY ITSELF — PART 1

    By Ellen Brown on May 11, 2026

    A Universal Basic Income (UBI) has long been proposed as a way to cushion the blow of jobs lost to automation. Under that model, everyone receives a modest monthly payment – enough to cover basic needs and prevent extreme poverty. 

    But Elon Musk has gone further. On April 16, he posted on X:

    Universal HIGH INCOME via checks issued by the Federal government is the best way to deal with unemployment caused by AI.

    Rather than a subsistence stipend, Universal High Income (UHI) would be a level of income allowing ordinary people to live well in a world where machines do most of the work. Musk has also said that AI and robotics are the only things that can solve the massive U.S. debt crisis. 

    That sounds promising, but where will the government get the money to pay the UHI? Critics say any government that tried it would go bankrupt. There are also other concerns, which will be addressed in Part 2 of this article. Here we will look at the financial underpinnings: why UHI is even thinkable, why AI forces a reexamination of how money enters the economy, why the current system cannot scale to meet what is coming, and the implicit transition needed to meet that challenge.

    Why the Current Money System Cannot Scale

    The national debt of the U.S. government just topped $39 trillion. China’s is $18.7 trillion. Japan’s is $8.6 trillion. Those of the UK, France, Germany, Italy and Spain are each in the multi-trillion-dollar range. Collective global debt now stands at $353 trillion, 305% of the world’s annual economic output. So even if, hypothetically, everything produced in the world in a year were applied toward liquidating the debt, it still would not be enough to pay it all off. 

    In fact the debt can never be repaid, because of the way money currently enters the system. Nearly all of the money supply today is created by banks when they make loans. Banks do not lend their existing capital. The loan itself creates the money. The bank adds the loan amount to the asset side of its balance sheet and balances that sum with the same amount on the liability side. When the borrower withdraws or transfers the funds, either the bank takes them from its reserves in “vault cash” or the Federal Reserve debits the bank’s digital reserve account at the central bank. But the lending bank typically has funds coming into its reserve account at about the same rate as they are going out, so its reserves are continually replenished. Thus a very small reserve account can support a much larger money creation engine. For decades before the Fed discontinued the reserve requirement in 2020, it hovered at around 10%.

    The chief problem with this debt-based system is the interest, which the bank does not create in its original loan. For a typical long-term loan, interest can double the total tab or more. Where is the money to come from to pay this added liability? Across the system as a whole, it must either come from more borrowing or from existing funds. In the case of governments, that means issuing interest-bearing bonds or tapping taxes and other revenues. The interest on the debt compounds, meaning the government is paying interest on interest. This makes the debt increase exponentially, until it is mathematically unsustainable. Then bankruptcies occur, of banks or even whole governments. Booms turn into busts, and the cycle begins again.

    Today, interest on the federal debt is the second largest budget line item after Social Security, exceeding $1 trillion. Meanwhile, workers are losing jobs to AI/robotics, shrinking the income tax base. The system is clearly unsustainable.

    How to Raise Demand to Scale to the Upcoming Supply

    A Universal High Income would replenish the shrinking tax base by replacing the lost wages of unemployed workers. But where will the money come from to pay the UHI? The only sustainable solution is for the government to issue it interest-free. That does not mean through the Federal Reserve, which creates money in the same way banks do: it buys federal interest-bearing securities with accounting entries. The Fed collects the interest, which it is supposed to return to the Treasury after deducting its costs. But since 2008, its costs include paying interest on the reserves of its participating banks, which consumes its profits. (See my earlier article here.) 

    The only interest-free, debt-free solution that will actually increase the money supply sufficiently to match the projected productivity of AI/robotics is for the money to be issued directly by the Treasury.

    This is not a radical new idea. It is authorized in the U.S. Constitution, which provides in Article 1, Sec. 8, that “The Congress shall have Power To … coin Money [and] regulate the Value thereof .…” Abraham Lincoln used government-issued “Greenbacks” to avoid a crippling debt to British-backed bankers. Debt-free government-issued money was also the funding mechanism by which the American colonists succeeded in creating a thriving economy and liberating themselves from the oppressive yoke of the British Empire.

    In his 1729 pamphlet “A Modest Inquiry into the Nature and Necessity of a Paper-Currency,” Benjamin Franklin argued that a lack of currency was a tax on industrious farmers and producers, and that a reliable, locally issued paper currency was the “oil” for the gears of trade. The “Nature and Necessity” of this currency was to facilitate the movement of goods between neighbors. Franklin observed that the British strategy of keeping the colonies short of cash was a method of economic suppression. By forcing the colonies to use gold and silver, which were constantly drained back to London to pay for imports, the Crown kept the colonies in a state of permanent debt and low productivity. When the money supply matched the productive capacity of the people, universal prosperity resulted without inflation. 

    This logic evolved into the “American System of Political Economy” championed by Henry Carey, economic advisor to Abraham Lincoln. He wrote:

    Two systems are before the world… One looks to pauperism, ignorance, depopulation, and barbarism; the other in increasing wealth, comfort, intelligence, combination of action, and civilization. … One is the English system; the other we may be proud to call the American system, for it is the only one ever devised the tendency of which was that of elevating while equalizing the condition of man throughout the world.

    In the context of the 21st century, the “oil” that best lowers the friction of trade is debt-free government-issued money similar to Lincoln’s Greenbacks and colonial scrip. Rather than implementing a radical financial innovation, we would be returning to our roots.

    Inflation or Deflation?

    The chief objection to the colonies’ paper “scrip” was that they tended to over-print, so that “demand” (money) outstripped supply. Too much money chasing too few goods produced price inflation. But in the 21st century, we will soon have the opposite problem: too little money chasing too many goods. Machines don’t need food, clothing, shelter, transportation, medical treatment or other services. So who will buy those goods and services? 

    Money needs to be issued to human consumers, and not just to a few wealthy human consumers serving as debt brokers thriving on interest. To create sufficient demand for the voluminous output of AI/robotics, it needs to go to the whole national population, evenly distributed. Not only can UHI work in that sort of abundant supply without producing price inflation; it is actually essential to prevent deflation.

    In a conversation on X, Musk wrote:

    In a normal economy, issuing more money simply increases the dollar price of the existing output of goods & services, meaning people do NOT get more stuff. If AI/robotics massively increase goods & services output, then you actually MUST issue dollars to people or there will be massive disinflation. 

    As paraphrased on Yahoo Finance (reposted from Benzinga), Musk wrote that handing out more dollars becomes a problem only when the economy’s supply of goods and services fails to surge alongside the money supply. His claim is that AI and robotics could lift production so sharply that the bigger risk would be falling prices, not rising ones.

    But aren’t falling prices a good thing? In this case, no. Prices would be falling due to a lack of demand, meaning producers can’t find customers for their products. They wind up laying off workers and eventually going bankrupt. When spread across the whole economy, the result is a deflationary spiral: prices fall, businesses lose revenue, and the economy contracts, not because production is inadequate but because purchasing power is insufficient. The result is recession or depression. In the Great Depression of the 1930s, food was rotting in the fields while people were starving, because they were out of work and had no money to spend. 

    Job cuts from AI are already happening. According to the same Benzinga article:

    Evidence of near-term strain is showing up in corporate announcements: employers disclosed more than 27,000 job cuts linked to AI in the first quarter of 2026, according to Challenger, Gray & Christmas. The outplacement firm said that figure was up 40% from the same period a year earlier. 

    Robert Reich reports that wages are around two-thirds of the typical corporation’s total cost, and that in the first four months of 2026, big U.S. corporations cut over 128,000 jobs. 

    How Soon Will All This Happen?

    Another Benzinga article, reposted on Yahoo Finance on March 16, detailed Musk’s projected time frame:

    Speaking remotely to the Abundance Summit last week, Musk told XPRIZE founder Peter Diamandis that the global economy is on the verge of an explosion so massive it defies historical precedent.

    “I’d say the economy is 10 times its current size in 10 years,” Musk said, before quickly clarifying that the growth could be even more explosive. “Greater than,” he added, framing the projected shift in economic output as a “fairly comfortable prediction.” …

    Ray Kurzweil, author of The Singularity Is Near, sees AI reaching Artificial General Intelligence (human-level intelligence across virtually all domains) by 2029, and full transformative abundance by 2045.

    Other experts question these time projections, but a radical transformation of traditional manufacturing and trade is likely to happen sometime in the reasonably near future. The question is, will the money system transition soon enough to rescue all the laid-off workers from homelessness and famine?

    The Sovereign Wealth Fund Alternative

    There is another model for distributing the gains of automation, one that can be phased in gradually as the AI workforce expands. It comes from Sam Altman, CEO of OpenAI. In an ironic twist, Altman and Musk, who jointly founded OpenAI in 2015, are now locked in a high-profile legal battle over whether Altman diverted Musk’s $44 million investment to transform what was conceived as a nonprofit “for the benefit of humanity” into a highly lucrative for-profit enterprise.

    That dispute aside, Altman’s alternative model for sharing AI-generated wealth is a national sovereign wealth fund seeded by the profits of AI and robotics. His proposed American Equity Fund would take public stakes in the companies and technologies driving automation, capture a portion of the resulting productivity gains, and distribute them as universal dividends. The Fund would not replace a Universal High Income but would complement it.

    This approach has several advantages. It ties payments directly to real output, scales automatically with productivity, and can be introduced gradually, avoiding the shock of issuing large payments before the supply side has fully expanded. It would resemble the Alaska Permanent Fund, which distributes oil revenues to residents, except that here the resource would be the most powerful general-purpose technology since electricity.

    Conclusion: A New Monetary Logic for a New Productive Era

    For centuries, money has been issued as a claim against the future productivity of human labor, repaid from the income that labor generates. The logic of this debt-based system collapses when machines become the primary producers of goods and services. Then the limiting factor becomes purchasing power — the ability of human beings to access the abundance their own technologies create. That requires a monetary architecture that expands with output rather than debt, and distributes income not through wages alone but through mechanisms tied to the productive capacity of the whole system.

    Universal High Income and a sovereign wealth fund are two ways of doing that. One ensures a stable floor of demand; the other ensures that the public shares in the gains of automation. Both would be grounded in real production. But for the public to have access to those gains, the money supply needs to expand in proportion to the expanding pool of goods and services. This can be done by restoring the innovation our forefathers baked into the Constitution: debt-free money issued by the government itself.

    How to fund a UHI without triggering inflation or driving the government into bankruptcy is the first objection critics raise, but there are others. They argue that people would stop working or stop learning, that society would collapse into idleness or chaos, that life would lose meaning without jobs, that the government would have the power to control how people spend their money.  Will a UHI ring in the promised utopia or lock us into a state-controlled digital prison? Part 2 of this article will address those concerns. 

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    This article was first posted as an original to ScheerPost.com. Ellen Brown is an attorney, founder of the Public Banking Institute, and author of thirteen books including Web of DebtThe Public Bank Solution, and Banking on the People: Democratizing Money in the Digital Age. Her 400+ blog articles are posted at EllenBrown.com.tom of Form

     

     

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    WAY TO GO MR PUTIN - RUSSIA FINALIZES 'LBGTQ PROPAGANDA' BAN

    Posted By: The_Fox [Send E-Mail]
    Date: Thursday, 1-Dec-2022 05:31:08
    www.rumormill.news/212414

     

    Many a time I often think about moving to Russia, so sick and tired of living here in the West.

    Over there things get done and child molesters etc don't just get away with a slapped wrist, free to again prey on the innocent.

    Those promoting society's moral decay will now have to answer for their actions also.

    Way to go Mr Putin.

    Read more: 'LBGTQ PROPAGANDA' BAN