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.