Lights Are On but No One’s Working: How Local Governments Are Faking Coronavirus Recovery

Discussion in 'Wall St. News' started by dealmaker, Mar 5, 2020.

  1. dealmaker

    dealmaker

    Lights Are On but No One’s Working: How Local Governments Are Faking Coronavirus Recovery
    By Yuan Ruiyang and Isabelle Li
    [​IMG]
    Workers at a factory in Tianjin's Xiqing district on Feb. 19. Photo: IC Photo
    Local companies and officials are fraudulently boosting electricity consumption and other metrics in order to meet tough new back-to-work targets as the spread of Covid-19 in China wanes, a Caixin investigation has found.

    As new coronavirus cases in China slowed in recent weeks, local governments in less-affected regions pushed companies and factories to return to work, typically by assigning concrete targets to district officials. Company insiders and local civil servants told Caixin that, under pressure to fulfill quotas they could not otherwise meet, they deftly cooked the books.

    https://www.caixinglobal.com/2020-0...re-faking-coronavirus-recovery-101524058.html
     
  2. You can always count on the CCP to lie about EVERYTHING!!

    (And in case you hadn't noticed.... local politicians are liars, too.)
     
    Last edited: Mar 5, 2020
  3. guru

    guru

    It’s interesting to see some people complaining about the government hiding the severity of the situation, vs seeing some people complaining about fearmongering and trying to cause panic.
    Oh, those are the same people.
     
    apdxyk, murray t turtle and Nobert like this.
  4. zdreg

    zdreg

    re: gov't workers in china
    W"Lights Are On but No One’s Working:


    What's the difference between gov't workers in china during these turbulent times and gov't workers in Europe and America in normal times?
     
  5. The news media is sure trying to HYPE it; rabies kills more people, an elite noted.
    Its disgraceful how little most of them devote to biggest risks/preventing it ;
    lack of hand washing, compromised imunity systems, old folks.
    NOT even likely all old folks are the same risks; Jack LaLane types most likley= OK:caution::caution: :caution::caution::caution::caution::caution::cool::cool::cool::cool::cool::cool::caution: