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. 

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.

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

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

Alix Steel and Paul Sweeney harness the power of Bloomberg Intelligence to provide company and industry research.

Here's Why

Here's Why Getting US Election Results Is So Complicated

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/983c5e61-d695-44d6-860b-b21f011a3ef7/transcript

During his first term as President, Donald Trump imposed tariffs on around $380 billion of imports. He has now promised to go further, with a 20% levy on all imported goods and 60% on Chinese products. Bloomberg's trade tsar Brendan Murray joins host Stephen Carroll to discuss how and when the tariffs might come, and who needs to worry most 

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

During his first term as President, Donald Trump imposed tariffs on around $380 billion of imports. He has now promised to go further, with a 20% levy on all imported goods and 60% on Chinese products. Bloomberg's trade tsar Brendan Murray joins host Stephen Carroll to discuss how and when the tariffs might come, and who needs to worry most  What would YOU like to hear about on Bloomberg? Help make shows like ours even better by taking our Bloomberg <a href="https://bit.ly/48b5Rdn" data-link-cookie="1" data-destination="https://bit.ly/4eIFhe5">audience survey</a>.

Here's Why Trump's Tariff Plan Has Global Consequences

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/aabb7c5f-6211-4556-9f0f-b22200ceea61/transcript

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.

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.

Here's Why AI Might Need Nuclear Power to Succeed

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/d7a654b9-ebfa-4355-a0d5-b21b00b7bf4d/transcript

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. 

What would YOU like to hear about on Bloomberg? Help make shows like ours even better by taking our Bloomberg <a href="https://bit.ly/48b5Rdn" data-link-cookie="1" data-destination="https://bit.ly/4eIFhe5">audience survey</a>. 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.

Here's Why Company Earnings Are So Difficult to Forecast

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/8f48cf2f-709f-4b1f-92eb-b21400a21910/transcript

Here's Why Getting US Election Results Is So Complicated

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