• Here's Why

  • 著者: Bloomberg
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Here's Why

著者: Bloomberg
  • サマリー

  • Here's Why: Where we take one news story and explain it in just a few minutes with help from our experts at Bloomberg.

    2024 iHeartMedia, Inc. © Any use of this intellectual property for text and data mining or computational analysis including as training material for artificial intelligence systems is strictly prohibited without express written consent from iHeartMedia
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あらすじ・解説

Here's Why: Where we take one news story and explain it in just a few minutes with help from our experts at Bloomberg.

2024 iHeartMedia, Inc. © Any use of this intellectual property for text and data mining or computational analysis including as training material for artificial intelligence systems is strictly prohibited without express written consent from iHeartMedia
エピソード
  • Here's Why Getting US Election Results Is So Complicated
    2024/11/05

    In 2020, it took almost four days to find out who had been elected US President. In 2000, the decision from the Supreme Court didn't come until mid-December. This year, a high number of mail-in ballots, the closeness of the race and new election processes in some states may mean it takes longer to determine a winner. Our Washington DC editor Magan Crane joins host Stephen Carroll to discuss.

    See omnystudio.com/listener for privacy information.

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    10 分
  • Here's Why AI Might Need Nuclear Power to Succeed
    2024/11/01

    The popularity of nuclear power has seen major swings since the first reactor went into commercial operation some 70 years ago. As countries look for ways of securing their future energy supplies, interest in nuclear has been revived. Could power-hungry artificial intelligence be another catalyst? Our reporter Jonathan Tirone joins host Stephen Carroll to explain.

    See omnystudio.com/listener for privacy information.

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    7 分
  • Here's Why Company Earnings Are So Difficult to Forecast
    2024/10/25

    What would YOU like to hear about on Bloomberg? Help make shows like ours even better by taking our Bloomberg audience survey.

    Every earnings season, investors keenly watch to see whether companies are meeting, beating or missing expectations. But how are these expectations set, and is anyone able to accurately predict what companies will say? Bloomberg Intelligence's Chief Equity Strategist Gina Martin Adams joins host Stephen Carroll to discuss.

    See omnystudio.com/listener for privacy information.

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    11 分

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