How good are you at deciphering code? Consider the words: “. . ....

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    How good are you at deciphering code? Consider the words:

    “. . . the authors conclude, city lawmakers should embrace the data and rely on proven programs that address these growing disparities with holistic, cross-sectoral, community-based strategies that focus on the interconnectedness of health, social, and economic risks that confront our most vulnerable communities.”

    Choose what you think those code words mean:
    1. High-earning homosexual couples should have their income reduces and redistributed to low income multi-childeren families; or
    2. ambitious Koreans in the food business should subsidise school canteens in suburbs of high unemployment, or
    3. homeowners should pay a levy to help trailer trash families pay for their tattoos; or
    4. something else.
    Choose who you think the “authors” are:
    1. A group of entrepreneurs who founded successful trade-based businesses; or
    2. a group of self-employed computer programmers; or
    3. a team of skilled welder specialising in aluminium welding, or
    4. university trained employees of public-funded bodies, including charities, or
    5. some other group.
 
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