Government efficiency commission: the good, the bad, and the ugly - Competitive Enterprise Institute

Contributing sentiments towards policy:

59% : If Trump works with Congress to make regulatory reforms permanent, and can refrain from seeing regulation as a political tool to reward and punish, then the government efficiency commission could do some real good.
53% : Trump enacted a series of Executive Orders in his first year that enacted, among other things, a one-in, two-out rule for new regulations, and better transparency for guidance documents and other regulatory dark matter.
50% : If not, then not -- and that is a big if.Musk and Trump should consult CEI's regulatory reform chapter from our Agenda for Congress for some lasting regulatory reform ideas, as well as Wayne Crews' Ten Thousand Commandments.
42% : If Trump wins, he'll use it to reward friends and punish enemies.
42% : Trump started the antitrust revival, in part because he views tech companies as political opponents.
39% : The ideas Trump and Musk have floated so far are a mixed bag:Sovereign wealth fund.
39% : Trump has proposed lowering the corporate tax rate from 21 percent to 15 percent -- but only for companies that produce all of their goods in America.
34% : That said, a spending commission will be useless if it doesn't tackle entitlement reform, which Trump has already come out against.
31% : The other trouble is that Trump was not necessarily a net deregulator.
30% : But an audit along the lines of what Trump and Musk want is likely not feasible.
29% : The trouble is that Trump never worked with Congress to codify those Executive Orders while he still had a majority in Congress.
26% : It would be nice to get rid of more wasteful Tea Tasting Board-style line items, but those are decimal points compared to the $110 trillion in unfunded liabilities now facing Social Security and Medicare.
25% : I am not optimistic, since Trump opposes Social Security reform.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.