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#concentration — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #concentration, aggregated by home.social.

  1. #MissKittyWide & #Raw The football star receiver getting the applause for the laid out one-hand catch is receiving applause for #concentration. #Focus. Not the athleticism. A lot of people can physically do those things. The mind. Win or lose. That is the playing surface, not the world. Body goes.

  2. A quotation from Thomas Carlyle

    The weakest living creature, by concentrating his powers on a single object, can accomplish something: the strongest, by dispensing his over many, may fail to accomplish anything. The drop, by continually falling, bores its passage through the hardest rock; the hasty torrent rushes over it with hideous uproar, and leaves no trace behind.

    Thomas Carlyle (1795-1881) Scottish essayist and historian
    The Life of Friedrich Schiller, Part 2 (1825)

    More about this quote: wist.info/carlyle-thomas/84047…

    #quote #quotes #quotation #qotd #carlyle #thomascarlyle #accomplishment #concentration #dilution #effectiveness #effort #focus #objective #patience #willpower

  3. A quotation from Thomas Carlyle

    The weakest living creature, by concentrating his powers on a single object, can accomplish something: the strongest, by dispensing his over many, may fail to accomplish anything. The drop, by continually falling, bores its passage through the hardest rock; the hasty torrent rushes over it with hideous uproar, and leaves no trace behind.

    Thomas Carlyle (1795-1881) Scottish essayist and historian
    The Life of Friedrich Schiller, Part 2 (1825)

    More about this quote: wist.info/carlyle-thomas/84047…

    #quote #quotes #quotation #qotd #carlyle #thomascarlyle #accomplishment #concentration #dilution #effectiveness #effort #focus #objective #patience #willpower

  4. A quotation from Thomas Carlyle

    The weakest living creature, by concentrating his powers on a single object, can accomplish something: the strongest, by dispensing his over many, may fail to accomplish anything. The drop, by continually falling, bores its passage through the hardest rock; the hasty torrent rushes over it with hideous uproar, and leaves no trace behind.

    Thomas Carlyle (1795-1881) Scottish essayist and historian
    The Life of Friedrich Schiller, Part 2 (1825)

    More about this quote: wist.info/carlyle-thomas/84047…

    #quote #quotes #quotation #qotd #carlyle #thomascarlyle #accomplishment #concentration #dilution #effectiveness #effort #focus #objective #patience #willpower

  5. A quotation from Thomas Carlyle

    The weakest living creature, by concentrating his powers on a single object, can accomplish something: the strongest, by dispensing his over many, may fail to accomplish anything. The drop, by continually falling, bores its passage through the hardest rock; the hasty torrent rushes over it with hideous uproar, and leaves no trace behind.

    Thomas Carlyle (1795-1881) Scottish essayist and historian
    The Life of Friedrich Schiller, Part 2 (1825)

    More about this quote: wist.info/carlyle-thomas/84047…

    #quote #quotes #quotation #qotd #carlyle #thomascarlyle #accomplishment #concentration #dilution #effectiveness #effort #focus #objective #patience #willpower

  6. A quotation from Thomas Carlyle

    The weakest living creature, by concentrating his powers on a single object, can accomplish something: the strongest, by dispensing his over many, may fail to accomplish anything. The drop, by continually falling, bores its passage through the hardest rock; the hasty torrent rushes over it with hideous uproar, and leaves no trace behind.

    Thomas Carlyle (1795-1881) Scottish essayist and historian
    The Life of Friedrich Schiller, Part 2 (1825)

    More about this quote: wist.info/carlyle-thomas/84047…

    #quote #quotes #quotation #qotd #carlyle #thomascarlyle #accomplishment #concentration #dilution #effectiveness #effort #focus #objective #patience #willpower

  7. “Gambling is a tax on ignorance”*…

    And as Einstein observed, “two things are infinite: the universe and human stupidity; and I’m not sure about the universe.”

    Gambling– and related specualtive investments– have always been, for the vast majority of punters, a sucker’s bet. But, as Paul Kedrosky explains, the growing prevalence of AI and the emergence of prediction markets have amplified that painful reality…

    The return skew in prediction markets’ returns is startling. It is partly a function of their nature, but also of vibe-coding script kiddies attacking every market anomaly as quickly as it arises. Check a recent WSJ article for examples.

    The same dynamic is now spreading across retail-dominated markets. A driver is how AI lowers the cost of systematic exploitation and exploration to near zero. What used to require infrastructure, data pipelines, and bearded quants is now accessible via off-the-shelf models, APIs, and loosely stitched “agent” workflows doing … stuff that even their users don’t fully understand.

    The result isn’t democratization of returns. It is wider participation, of a sort, alongside the rapid re-concentration of profits. A small subset of users—those willing to iterate fastest, monitor continuously, and deploy capital programmatically—capture gains, with everyone else just liquidity.

    They scrape sentiment, parse new information, and reprice positions in seconds, compressing the half-life of mispricings. That doesn’t eliminate inefficiency, but changes who harvests it. The edge shifts from insight to speed, coverage, and execution discipline—areas where even modest automation compounds quickly, and edges disappear overnight.

    Prediction markets are simply the cleanest expression of this trend because they combine thin liquidity, discrete outcomes, and high retail participation. But the same pattern is visible in options flow, single-stock volatility events, and even online poker, which AI increasingly dominates.

    As AI tools continue to scale, expect this to get worse: a small cohort running semi-automated strategies extracting semi-consistent edge, and a much larger base supplying them returns. Under the pressure of AI prevalance, markets don’t flatten, the return gradient steepens to a cliff…

    Fewer and fewer winners take more and more of the pot. The mechanics of concentration: “AI is Eating Markets” from @paulkedrosky.com.

    * Warren Buffett

    ###

    As we contemplate concentration, we might note that today is Mother’s Day. As noted yesterday, the observance became official on that date in 1914. But the quest to honor moms began a good bit earlier. On this date in 1908, Anna Jarvis held a memorial for her mother at St. Andrew’s Methodist Church in Grafton, West Virginia, the location of the International Mother’s Day Shrine. But her quest to create Mother’s Day had begun three years earlier when her mother Ann, a lifelong activist, died.

    Ann had tried to start a “Mother’s Remembrance Day” in the mid-19th century. On her passing, Anna enlisted the support of retailer extraordinaire John Wanamaker, who knew a merchandising opportunity when he saw one, and who hosted the first Mother’s Day ceremonies in his Philadelphia emporium’s auditorium. In 1912, Anna trademarked the phrases “second Sunday in May” and “Mother’s Day”, and created the Mother’s Day International Association. By 1914, she and Wanamaker had built sufficient support in Congress to score the Congressional Resolution noted yesterday. (President Wilson, who was by current accounts uninterested in the move– distracted as he was by the beginnings of his ultimately unsuccessful effort to keep the U.S. out of the troubles in Europe that became World War I– nonetheless knew better than to take a stand against moms.)

    Anna Jarvis (source) #AI #AnnJarvis #AnnaJarvis #artificialIntelligence #concentration #culture #gambling #history #investing #JohnWanamaker #MotherSDay #predictionMarkets #Technology #WoodrowWilson
  8. “Gambling is a tax on ignorance”*…

    And as Einstein observed, “two things are infinite: the universe and human stupidity; and I’m not sure about the universe.”

    Gambling– and related specualtive investments– have always been, for the vast majority of punters, a sucker’s bet. But, as Paul Kedrosky explains, the growing prevalence of AI and the emergence of prediction markets have amplified that painful reality…

    The return skew in prediction markets’ returns is startling. It is partly a function of their nature, but also of vibe-coding script kiddies attacking every market anomaly as quickly as it arises. Check a recent WSJ article for examples.

    The same dynamic is now spreading across retail-dominated markets. A driver is how AI lowers the cost of systematic exploitation and exploration to near zero. What used to require infrastructure, data pipelines, and bearded quants is now accessible via off-the-shelf models, APIs, and loosely stitched “agent” workflows doing … stuff that even their users don’t fully understand.

    The result isn’t democratization of returns. It is wider participation, of a sort, alongside the rapid re-concentration of profits. A small subset of users—those willing to iterate fastest, monitor continuously, and deploy capital programmatically—capture gains, with everyone else just liquidity.

    They scrape sentiment, parse new information, and reprice positions in seconds, compressing the half-life of mispricings. That doesn’t eliminate inefficiency, but changes who harvests it. The edge shifts from insight to speed, coverage, and execution discipline—areas where even modest automation compounds quickly, and edges disappear overnight.

    Prediction markets are simply the cleanest expression of this trend because they combine thin liquidity, discrete outcomes, and high retail participation. But the same pattern is visible in options flow, single-stock volatility events, and even online poker, which AI increasingly dominates.

    As AI tools continue to scale, expect this to get worse: a small cohort running semi-automated strategies extracting semi-consistent edge, and a much larger base supplying them returns. Under the pressure of AI prevalance, markets don’t flatten, the return gradient steepens to a cliff…

    Fewer and fewer winners take more and more of the pot. The mechanics of concentration: “AI is Eating Markets” from @paulkedrosky.com.

    * Warren Buffett

    ###

    As we contemplate concentration, we might note that today is Mother’s Day. As noted yesterday, the observance became official on that date in 1914. But the quest to honor moms began a good bit earlier. On this date in 1908, Anna Jarvis held a memorial for her mother at St. Andrew’s Methodist Church in Grafton, West Virginia, the location of the International Mother’s Day Shrine. But her quest to create Mother’s Day had begun three years earlier when her mother Ann, a lifelong activist, died.

    Ann had tried to start a “Mother’s Remembrance Day” in the mid-19th century. On her passing, Anna enlisted the support of retailer extraordinaire John Wanamaker, who knew a merchandising opportunity when he saw one, and who hosted the first Mother’s Day ceremonies in his Philadelphia emporium’s auditorium. In 1912, Anna trademarked the phrases “second Sunday in May” and “Mother’s Day”, and created the Mother’s Day International Association. By 1914, she and Wanamaker had built sufficient support in Congress to score the Congressional Resolution noted yesterday. (President Wilson, who was by current accounts uninterested in the move– distracted as he was by the beginnings of his ultimately unsuccessful effort to keep the U.S. out of the troubles in Europe that became World War I– nonetheless knew better than to take a stand against moms.)

    Anna Jarvis (source) #AI #AnnJarvis #AnnaJarvis #artificialIntelligence #concentration #culture #gambling #history #investing #JohnWanamaker #MotherSDay #predictionMarkets #speculation #Technology #WoodrowWilson
  9. “Gambling is a tax on ignorance”*…

    And as Einstein observed, “two things are infinite: the universe and human stupidity; and I’m not sure about the universe.”

    Gambling– and related specualtive investments– have always been, for the vast majority of punters, a sucker’s bet. But, as Paul Kedrosky explains, the growing prevalence of AI and the emergence of prediction markets have amplified that painful reality…

    The return skew in prediction markets’ returns is startling. It is partly a function of their nature, but also of vibe-coding script kiddies attacking every market anomaly as quickly as it arises. Check a recent WSJ article for examples.

    The same dynamic is now spreading across retail-dominated markets. A driver is how AI lowers the cost of systematic exploitation and exploration to near zero. What used to require infrastructure, data pipelines, and bearded quants is now accessible via off-the-shelf models, APIs, and loosely stitched “agent” workflows doing … stuff that even their users don’t fully understand.

    The result isn’t democratization of returns. It is wider participation, of a sort, alongside the rapid re-concentration of profits. A small subset of users—those willing to iterate fastest, monitor continuously, and deploy capital programmatically—capture gains, with everyone else just liquidity.

    They scrape sentiment, parse new information, and reprice positions in seconds, compressing the half-life of mispricings. That doesn’t eliminate inefficiency, but changes who harvests it. The edge shifts from insight to speed, coverage, and execution discipline—areas where even modest automation compounds quickly, and edges disappear overnight.

    Prediction markets are simply the cleanest expression of this trend because they combine thin liquidity, discrete outcomes, and high retail participation. But the same pattern is visible in options flow, single-stock volatility events, and even online poker, which AI increasingly dominates.

    As AI tools continue to scale, expect this to get worse: a small cohort running semi-automated strategies extracting semi-consistent edge, and a much larger base supplying them returns. Under the pressure of AI prevalance, markets don’t flatten, the return gradient steepens to a cliff…

    Fewer and fewer winners take more and more of the pot. The mechanics of concentration: “AI is Eating Markets” from @paulkedrosky.com.

    * Warren Buffett

    ###

    As we contemplate concentration, we might note that today is Mother’s Day. As noted yesterday, the observance became official on that date in 1914. But the quest to honor moms began a good bit earlier. On this date in 1908, Anna Jarvis held a memorial for her mother at St. Andrew’s Methodist Church in Grafton, West Virginia, the location of the International Mother’s Day Shrine. But her quest to create Mother’s Day had begun three years earlier when her mother Ann, a lifelong activist, died.

    Ann had tried to start a “Mother’s Remembrance Day” in the mid-19th century. On her passing, Anna enlisted the support of retailer extraordinaire John Wanamaker, who knew a merchandising opportunity when he saw one, and who hosted the first Mother’s Day ceremonies in his Philadelphia emporium’s auditorium. In 1912, Anna trademarked the phrases “second Sunday in May” and “Mother’s Day”, and created the Mother’s Day International Association. By 1914, she and Wanamaker had built sufficient support in Congress to score the Congressional Resolution noted yesterday. (President Wilson, who was by current accounts uninterested in the move– distracted as he was by the beginnings of his ultimately unsuccessful effort to keep the U.S. out of the troubles in Europe that became World War I– nonetheless knew better than to take a stand against moms.)

    Anna Jarvis (source) #AI #AnnJarvis #AnnaJarvis #artificialIntelligence #concentration #culture #gambling #history #investing #JohnWanamaker #MotherSDay #predictionMarkets #Technology #WoodrowWilson
  10. “Gambling is a tax on ignorance”*…

    And as Einstein observed, “two things are infinite: the universe and human stupidity; and I’m not sure about the universe.”

    Gambling– and related specualtive investments– have always been, for the vast majority of punters, a sucker’s bet. But, as Paul Kedrosky explains, the growing prevalence of AI and the emergence of prediction markets have amplified that painful reality…

    The return skew in prediction markets’ returns is startling. It is partly a function of their nature, but also of vibe-coding script kiddies attacking every market anomaly as quickly as it arises. Check a recent WSJ article for examples.

    The same dynamic is now spreading across retail-dominated markets. A driver is how AI lowers the cost of systematic exploitation and exploration to near zero. What used to require infrastructure, data pipelines, and bearded quants is now accessible via off-the-shelf models, APIs, and loosely stitched “agent” workflows doing … stuff that even their users don’t fully understand.

    The result isn’t democratization of returns. It is wider participation, of a sort, alongside the rapid re-concentration of profits. A small subset of users—those willing to iterate fastest, monitor continuously, and deploy capital programmatically—capture gains, with everyone else just liquidity.

    They scrape sentiment, parse new information, and reprice positions in seconds, compressing the half-life of mispricings. That doesn’t eliminate inefficiency, but changes who harvests it. The edge shifts from insight to speed, coverage, and execution discipline—areas where even modest automation compounds quickly, and edges disappear overnight.

    Prediction markets are simply the cleanest expression of this trend because they combine thin liquidity, discrete outcomes, and high retail participation. But the same pattern is visible in options flow, single-stock volatility events, and even online poker, which AI increasingly dominates.

    As AI tools continue to scale, expect this to get worse: a small cohort running semi-automated strategies extracting semi-consistent edge, and a much larger base supplying them returns. Under the pressure of AI prevalance, markets don’t flatten, the return gradient steepens to a cliff…

    Fewer and fewer winners take more and more of the pot. The mechanics of concentration: “AI is Eating Markets” from @paulkedrosky.com.

    * Warren Buffett

    ###

    As we contemplate concentration, we might note that today is Mother’s Day. As noted yesterday, the observance became official on that date in 1914. But the quest to honor moms began a good bit earlier. On this date in 1908, Anna Jarvis held a memorial for her mother at St. Andrew’s Methodist Church in Grafton, West Virginia, the location of the International Mother’s Day Shrine. But her quest to create Mother’s Day had begun three years earlier when her mother Ann, a lifelong activist, died.

    Ann had tried to start a “Mother’s Remembrance Day” in the mid-19th century. On her passing, Anna enlisted the support of retailer extraordinaire John Wanamaker, who knew a merchandising opportunity when he saw one, and who hosted the first Mother’s Day ceremonies in his Philadelphia emporium’s auditorium. In 1912, Anna trademarked the phrases “second Sunday in May” and “Mother’s Day”, and created the Mother’s Day International Association. By 1914, she and Wanamaker had built sufficient support in Congress to score the Congressional Resolution noted yesterday. (President Wilson, who was by current accounts uninterested in the move– distracted as he was by the beginnings of his ultimately unsuccessful effort to keep the U.S. out of the troubles in Europe that became World War I– nonetheless knew better than to take a stand against moms.)

    Anna Jarvis (source) #AI #AnnJarvis #AnnaJarvis #artificialIntelligence #concentration #culture #gambling #history #investing #JohnWanamaker #MotherSDay #predictionMarkets #Technology #WoodrowWilson
  11. “Gambling is a tax on ignorance”*…

    And as Einstein observed, “two things are infinite: the universe and human stupidity; and I’m not sure about the universe.”

    Gambling– and related specualtive investments– have always been, for the vast majority of punters, a sucker’s bet. But, as Paul Kedrosky explains, the growing prevalence of AI and the emergence of prediction markets have amplified that painful reality…

    The return skew in prediction markets’ returns is startling. It is partly a function of their nature, but also of vibe-coding script kiddies attacking every market anomaly as quickly as it arises. Check a recent WSJ article for examples.

    The same dynamic is now spreading across retail-dominated markets. A driver is how AI lowers the cost of systematic exploitation and exploration to near zero. What used to require infrastructure, data pipelines, and bearded quants is now accessible via off-the-shelf models, APIs, and loosely stitched “agent” workflows doing … stuff that even their users don’t fully understand.

    The result isn’t democratization of returns. It is wider participation, of a sort, alongside the rapid re-concentration of profits. A small subset of users—those willing to iterate fastest, monitor continuously, and deploy capital programmatically—capture gains, with everyone else just liquidity.

    They scrape sentiment, parse new information, and reprice positions in seconds, compressing the half-life of mispricings. That doesn’t eliminate inefficiency, but changes who harvests it. The edge shifts from insight to speed, coverage, and execution discipline—areas where even modest automation compounds quickly, and edges disappear overnight.

    Prediction markets are simply the cleanest expression of this trend because they combine thin liquidity, discrete outcomes, and high retail participation. But the same pattern is visible in options flow, single-stock volatility events, and even online poker, which AI increasingly dominates.

    As AI tools continue to scale, expect this to get worse: a small cohort running semi-automated strategies extracting semi-consistent edge, and a much larger base supplying them returns. Under the pressure of AI prevalance, markets don’t flatten, the return gradient steepens to a cliff…

    Fewer and fewer winners take more and more of the pot. The mechanics of concentration: “AI is Eating Markets” from @paulkedrosky.com.

    * Warren Buffett

    ###

    As we contemplate concentration, we might note that today is Mother’s Day. As noted yesterday, the observance became official on that date in 1914. But the quest to honor moms began a good bit earlier. On this date in 1908, Anna Jarvis held a memorial for her mother at St. Andrew’s Methodist Church in Grafton, West Virginia, the location of the International Mother’s Day Shrine. But her quest to create Mother’s Day had begun three years earlier when her mother Ann, a lifelong activist, died.

    Ann had tried to start a “Mother’s Remembrance Day” in the mid-19th century. On her passing, Anna enlisted the support of retailer extraordinaire John Wanamaker, who knew a merchandising opportunity when he saw one, and who hosted the first Mother’s Day ceremonies in his Philadelphia emporium’s auditorium. In 1912, Anna trademarked the phrases “second Sunday in May” and “Mother’s Day”, and created the Mother’s Day International Association. By 1914, she and Wanamaker had built sufficient support in Congress to score the Congressional Resolution noted yesterday. (President Wilson, who was by current accounts uninterested in the move– distracted as he was by the beginnings of his ultimately unsuccessful effort to keep the U.S. out of the troubles in Europe that became World War I– nonetheless knew better than to take a stand against moms.)

    Anna Jarvis (source) #AI #AnnJarvis #AnnaJarvis #artificialIntelligence #concentration #culture #gambling #history #investing #JohnWanamaker #MotherSDay #predictionMarkets #speculation #Technology #WoodrowWilson
  12. Poverty-Free: 2019 Nobel Prize in Economics

    1. Introduction to the 2019 Nobel Prize in Economics In 2019, the Nobel Prize in Economic Sciences was awarded to Abhijit Banerjee, Esther Duflo, and Michael Kremer for their innovative approach to understanding and combating global poverty. They used Randomized Controlled Trials (RCTs) to test small-scale, localized interventions, providing robust evidence about what works in reducing poverty. Their work has reshaped development economics and influenced global anti-poverty efforts, […]

    6garden.wordpress.com/2026/05/

  13. Poverty-Free: 2019 Nobel Prize in Economics

    1. Introduction to the 2019 Nobel Prize in Economics In 2019, the Nobel Prize in Economic Sciences was awarded to Abhijit Banerjee, Esther Duflo, and Michael Kremer for their innovative approach to understanding and combating global poverty. They used Randomized Controlled Trials (RCTs) to test small-scale, localized interventions, providing robust evidence about what works in reducing poverty. Their work has reshaped development economics and influenced global anti-poverty efforts, […]

    6garden.wordpress.com/2026/05/

  14. Poverty-Free: 2019 Nobel Prize in Economics

    1. Introduction to the 2019 Nobel Prize in Economics In 2019, the Nobel Prize in Economic Sciences was awarded to Abhijit Banerjee, Esther Duflo, and Michael Kremer for their innovative approach to understanding and combating global poverty. They used Randomized Controlled Trials (RCTs) to test small-scale, localized interventions, providing robust evidence about what works in reducing poverty. Their work has reshaped development economics and influenced global anti-poverty efforts, […]

    6garden.wordpress.com/2026/05/

  15. Poverty-Free: 2019 Nobel Prize in Economics

    1. Introduction to the 2019 Nobel Prize in Economics In 2019, the Nobel Prize in Economic Sciences was awarded to Abhijit Banerjee, Esther Duflo, and Michael Kremer for their innovative approach to understanding and combating global poverty. They used Randomized Controlled Trials (RCTs) to test small-scale, localized interventions, providing robust evidence about what works in reducing poverty. Their work has reshaped development economics and influenced global anti-poverty efforts, […]

    6garden.wordpress.com/2026/05/

  16. Poverty-Free: 2019 Nobel Prize in Economics

    1. Introduction to the 2019 Nobel Prize in Economics In 2019, the Nobel Prize in Economic Sciences was awarded to Abhijit Banerjee, Esther Duflo, and Michael Kremer for their innovative approach to understanding and combating global poverty. They used Randomized Controlled Trials (RCTs) to test small-scale, localized interventions, providing robust evidence about what works in reducing poverty. Their work has reshaped development economics and influenced global anti-poverty efforts, […]

    6garden.wordpress.com/2026/05/

  17. Brussels has a new guide on taxation: we must fight against the concentration of wealth

    BarcelonaThe European Commission has a new diagnosis on taxation that points to the highest incomes and large fortunes.…
    #Belgium #BE #Europe #Europa #EU #be #België #belgien #Belgique #belgium #Brussels #combated #concentration #guide #has #must #Nachrichten #new #Nieuws #Nouvelles #taxation #wealth
    europesays.com/2961217/

  18. Brussels has a new guide on taxation: wealth concentration must be combated

    BarcelonaThe European Commission has a new diagnosis on taxation that points to higher incomes and large fortunes. According…
    #Europe #EU #EuropeanCommission #be #Brussels #combated #Concentration #guide #has #must #New #TAXATION #wealth
    europesays.com/europe/29284/

  19. ... of #Economic #Concentration: A Historical and #Macroeconomic Analysis Introduction The trajectory of the American #economy is frequently framed in public discourse as a natural evolution driven by neutral market forces, technological advancement, and the organic, unavoidable ebb and flow of ...

  20. A quotation from Einstein

    The majority of the stupid is invincible and guaranteed for all time. The terror of their tyranny, however, is alleviated by their lack of consistency.
     
    [Die Majorität der Dummen ist unüberwindbar und für alle Zeiten gesichert. Der Schrecken ihrer Tyrannei ist indessen gemildert durch Mangel an Konsequenz.]

    Albert Einstein (1879-1955) German-American physicist
    Essay (1953-05-23), “Aphorisms for Leo Baeck [Neun Aphorismen], No. 5, Essays Presented to Leo Baeck on the Occasion of His Eightieth Birthday (1954) [Einstein Archives 28-962]

    More about this quote: wist.info/einstein-albert/8350…

    #quote #quotes #quotation #qotd #einstein #alberteinstein #concentration #distraction #focus #folly #fools #humancondition #humannature #inconsistency #majority #stupidity

  21. A quotation from Einstein

    The majority of the stupid is invincible and guaranteed for all time. The terror of their tyranny, however, is alleviated by their lack of consistency.
     
    [Die Majorität der Dummen ist unüberwindbar und für alle Zeiten gesichert. Der Schrecken ihrer Tyrannei ist indessen gemildert durch Mangel an Konsequenz.]

    Albert Einstein (1879-1955) German-American physicist
    Essay (1953-05-23), “Aphorisms for Leo Baeck [Neun Aphorismen], No. 5, Essays Presented to Leo Baeck on the Occasion of His Eightieth Birthday (1954) [Einstein Archives 28-962]

    More about this quote: wist.info/einstein-albert/8350…

    #quote #quotes #quotation #qotd #einstein #alberteinstein #concentration #distraction #focus #folly #fools #humancondition #humannature #inconsistency #majority #stupidity

  22. A quotation from Einstein

    The majority of the stupid is invincible and guaranteed for all time. The terror of their tyranny, however, is alleviated by their lack of consistency.
     
    [Die Majorität der Dummen ist unüberwindbar und für alle Zeiten gesichert. Der Schrecken ihrer Tyrannei ist indessen gemildert durch Mangel an Konsequenz.]

    Albert Einstein (1879-1955) German-American physicist
    Essay (1953-05-23), “Aphorisms for Leo Baeck [Neun Aphorismen], No. 5, Essays Presented to Leo Baeck on the Occasion of His Eightieth Birthday (1954) [Einstein Archives 28-962]

    More about this quote: wist.info/einstein-albert/8350…

    #quote #quotes #quotation #qotd #einstein #alberteinstein #concentration #distraction #focus #folly #fools #humancondition #humannature #inconsistency #majority #stupidity

  23. A quotation from Einstein

    The majority of the stupid is invincible and guaranteed for all time. The terror of their tyranny, however, is alleviated by their lack of consistency.
     
    [Die Majorität der Dummen ist unüberwindbar und für alle Zeiten gesichert. Der Schrecken ihrer Tyrannei ist indessen gemildert durch Mangel an Konsequenz.]

    Albert Einstein (1879-1955) German-American physicist
    Essay (1953-05-23), “Aphorisms for Leo Baeck [Neun Aphorismen], No. 5, Essays Presented to Leo Baeck on the Occasion of His Eightieth Birthday (1954) [Einstein Archives 28-962]

    More about this quote: wist.info/einstein-albert/8350…

    #quote #quotes #quotation #qotd #einstein #alberteinstein #concentration #distraction #focus #folly #fools #humancondition #humannature #inconsistency #majority #stupidity

  24. A quotation from Einstine

    The majority of the stupid is invincible and guaranteed for all time. The terror of their tyranny, however, is alleviated by their lack of consistency.
     
    [Die Majorität der Dummen ist unüberwindbar und für alle Zeiten gesichert. Der Schrecken ihrer Tyrannei ist indessen gemildert durch Mangel an Konsequenz.]

    Albert Einstein (1879-1955) German-American physicist
    Essay (1953-05-23), “Aphorisms for Leo Baeck [Neun Aphorismen], No. 5, Essays Presented to Leo Baeck on the Occasion of His Eightieth Birthday (1954) [Einstein Archives 28-962]

    More about this quote: wist.info/einstein-albert/8350…

    #quote #quotes #quotation #qotd #einstein #alberteinstein #concentration #distraction #focus #folly #fools #humancondition #humannature #inconsistency #majority #stupidity

  25. #MissKittyPolitics #IndyNews People say that I am over the top when I say end #homelessness and begin #civilization. Okay. Where is the line? THERE ARE CHILDREN IN #ICE #CONCENTRATION #CAMPS. 🚨 This is not civilized. 🚨 @[email protected] shining a light on it. 🔦

    These pediatrician moms have a...

  26. not one not two at noise upstairs

    geoff + his big bass beast sax
    hervé + alto sax

    "a performance exploring the forms of attention deployed in the practice of free improvisation - a deep space of community listening, flow, awareness and compassion."

    #deeplistening #improvisation #concentration #flow #communalcomposition #soundart #extendedtechniques #meditation

  27. we braved the pennine crossing and played a great gig with my friend geoff and his big bass saxophone.
    a performance exploring the forms of attention deployed in the practice of free improvisation - a deep space of community listening, flow, awareness and compassion.

    #deeplistening #improvisation #concentration #flow #communalcomposition #soundart #extendedtechniques #meditation

    thanks noise upstairs for having us

  28. [en] Cloud outages: "#Concentration is the real risk" - Prof Doug #Jacobson

    For example, #DNS ... has quietly become a single point of failure ... DNS is not alone.

    #Cloud outages are getting more #expensive. "#Centralization magnifies these costs."

    "... concentration means that a single configuration error, routing issue or attack can ripple across much of the web."

    theconversation.com/why-cloud-

    #cybersecurity #spof #outage #crowdstrike #iastate