Youyang Gu, a data scientist whose model has proved the most accurate forecaster of COVID deaths, predicts we will reach herd immunity (or "normality," as his team now calls it) by June/July. CLICK HERE TO GET THE OPINION NEWSLETTERJohns Hopkins Dr. Mark Makary, writing recently in the Wall Street Journal, concludes that the welcome collapse in virus cases, which began in January, cannot be attributed solely to the end of holiday festivities or the start-up of vaccines. Fatalities, which lag cases, are also plummeting. We are not in the midst of a dark long winter. Makary isnt alone in reading good news in the virus statistics.
Johns Hopkins uses “normal” data to calculate deaths.
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(z0 / use-01
    :ARG0 (z1 / facility
              :name (z2 / name
                        :op1 "Johns"
                        :op2 "Hopkins"))
    :ARG1 (z3 / data
              :ARG1-of (z4 / normal-02))
    :ARG2 (z5 / calculate-01
              :ARG0 z1
              :ARG1 (z6 / die-01)))
Johns Hopkins uses " normal” data to calculate deaths .
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z1 :name z2
z2 :op2 0
z0 :ARG0 z1
z3 :ARG1-of z4
z0 :ARG1 z3
z0 :ARG2 z5
z5 :ARG0 z1
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