China has a different relationship with its tech monopolies than the US does, thanks to a combination of state ownership, state investment, crossovers between Party members and PLA veterans with the directorships and leadership of Chinese Big Tech.
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Both countries use their Big Tech firms to project soft power (and surveillance capabilities) around the world, of course, and the US tech industry is certainly part of the US military-industrial complex, but that relationship is more tacit than explicit.
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But overt or tacit, explicit or unspoken, monopolistic power harms the public and - eventually - challenges the power of the state, which creates coalitions between the public and their governments to fight back against corporate concentration and dominance.
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In November, the Chinese State Administration for Market Supervision published a draft "New Anti-Monopoly Guidelines for the Platform Economy," proposing ambitious curbs on Chinese tech monopoly power.
The centerpiece of these regulations are prohibitions on "Big Data Backstabbing" - using digital surveillance to dynamically price goods according to a merchant's guess at how much you're willing to pay.
While it's hard to know if you're being backstabbed, it's an article of faith among Chinese internet users that this is going on: 88% believe it occurs, and 57% believe they've been a victim of it.
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Backstabbing is thought of as a kind of anti-loyalty reward whereby existing customers are charged higher prices; the popular memes for this are:
* "Old users are treated worse than dogs”
* “It’s the people who know you best who hurt you the most"
Price discrimination is one of those subjects that reveal the cracks in economics: economists (especially the ruling neoclassical cult) consider price discrimination "optimal" and argue that economies with widespread price discrimination are better at allocating resources.
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But people HATE price-discrimination. Think of the universal loathing we have for the ever-shifting, opaque system by which the airlines price seats (AA is so desperate that they're offering a "always lowest price" package to fliers who prepay for $5k/year of travel).
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Price discrimination is so widely and automatically viewed as unfair - despite economists' claims of "optimalness" - that companies have to hide their price discrimination and lie about it or use euphemisms for it, which just makes the whole thing seem even shadier.
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It's a perfect wedge issue to rally popular support for the wonky world of anti-monopoly enforcement, so that states that defend their power from corporations can secure a massive cohort of pissed-off shoppers to back their play.
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Article 17 of the new proposed Chinese rules sets out the factors that can lead to a finding of "discriminatory treatment" in a transaction, giving regulators leeway to punish data-mining to determine a buyer's purchasing power or history, online activity, or preferences.
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Interestingly, it's not a firm requirement: the rule ALLOWS regulators to consider data-mining-based discrimination, but does not require them to when investigating accusations of ripoffs.
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The rule also carves out some broadly defined "safe harbors" for platforms, like offering promotions to attract new customers, and, according to @SixthTone's analysis by Shen Weiwei, allows companies to use credit histories to practice price discrimination - a huge loophole.
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Shen suggests that the vagueness of the rules are a feature, not a bug, allowing regulators to practice forbearance when it comes to conduct they don't consider odious, and cracking down selectively on those they judge to be the worst offenders.
eof/
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Inside: Ford patents plutocratic lane-changes; All the books I reviewed in 2020; Armed cops terrorize Florida covid whistleblower; Uber pays to get rid of its self-driving cars; and more!
This morning, I'm giving a talk for the Norwegian Unix Users' Group: "Monopoly, Not Mind Control: What's Really Happening With 'Surveillance Capitalism.'"
When they write the history of this era, one of the strangest chapters will be devoted to Uber, a company that was never, ever going to be profitable, which existed solely to launder billions for the Saudi royals.
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From the start, Uber's "blitzscaling" strategy involved breaking local taxi laws (incurring potentially unlimited civil liability) while losing (lots of) money on every ride. They flushed billions and billions and billions of dollars down the drain.
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But they had billions to burn. Mohammed bin Salman, the murdering Crown Prince of the Saudi royal family, funded Softbank - a Japanese pump-and-dump investment scheme behind Wework and other grifts - with $80B as part of his "Vision 2030" plan.
When covid struck Florida, @GeoRebekah - a data scientist working for the state - created a dashboard to help people in the state follow the disease's spread as Republican Governor Ron DeSantis lifted restrictions and declared the state open for business.
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DeSantis insisted that lifting restrictions was working fine, but the data told a different story. In June, the state fired Jones after she refused to manipulate the data to maintain the pretense that DeSantis's plan wasn't slaughtering Floridians.
Jones was undaunted: she set up Florida Covid Action, an independent dashboard that revealed the real case-counts and mortality in counterpoint to the state's official story.