Forbes Article Rating

Competition Or Insolvency? Medicare's Time For Choosing.

Mar 04, 2024 View Original Article
  • Bias Rating

    -10% Center

  • Reliability

    80% ReliableGood

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    8% Positive

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. 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.

Sentiments

Overall Sentiment

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  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

56% : Some 62 million people are enrolled in Medicare today.
55% : Another way policymakers could expand the role of markets in Medicare is by authorizing the program's beneficiaries to contribute to tax-advantaged health savings accounts.
53% : By 2034, the CBO projects that Medicare will cost $1.74 trillion -- a sum equivalent to 17.3% of the federal budget and 4.2% of GDP.
52% : Medicare accounted for $832 billion of the $1.556 trillion the United States spent on healthcare entitlements in 2023.
51% : Implementing premium support in 2022 could have saved Medicare as much as $419 billion by 2026, the CBO estimated in a 2017 report.
51% : When Medicare enrollees shop for plans themselves, they will choose plans that offer the most bang for their buck.
50% : "Consequently, any effort to rein in federal spending -- and save the country from fiscal ruin -- must focus on federal health spending.
48% : There are other ways to inject additional market forces into Medicare.

*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.

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