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The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
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The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
More top stories
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
Best of CNN

More than 2,000 nuclear weapons have been detonated in the past 80 years. Their effects still linger around the world
The United States, Soviet Union, Britain, France and China all scrambled to develop ever more powerful nuclear weapons post-World War II. The legacy of their nuclear testing remains.
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
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The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
Immigration in America
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The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
Weekend reading
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
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The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
Travel & beyond
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
Science & discovery
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The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
US POLITICS
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Business & tech
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
Sports
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The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
Health & wellness
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
CRIME & INVESTIGATIONS
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Celebrities & Entertainment
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
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More from CNN
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.
The top numbered articles will be viewable to readers when programmed onto a page. Make sure you have 30 or more cards added to the container for the machine learning (ML) feature to work. Your queued up articles, seen in the violet section, will use ML to surface up relevant content to the reader based on their individual interests and preferences.