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Danielle DiMartino Booth: Selectively deceptive data and decision-making in U.S. economy

Danielle DiMartino Booth: Selectively deceptive data and decision-making in U.S. economy
Deceptive data in U.S. economic analysis

Danielle DiMartino Booth shared an update from QI Research titled The Weekly Quill, focusing on how selectively deceptive data may impact analysis of the U.S. economy. The note references collaboration with Jonathan Basile and raises questions around information used by policymakers and analysts.

The topics highlight ongoing discussions about the Federal Reserve and Chair Powell, with an emphasis on the importance of understanding data integrity in forming economic perspectives.

The concerns raised around data integrity and policy interpretation align with ongoing debates regarding the extent to which massive fiscal measures, such as the $15 trillion stimulus, have reframed conventional recession narratives. In addition, questions about the relationship between market performance and inflation measurement recall prior analysis suggesting the stock market's diminishing impact on core PCE trends, further underscoring the complexities inherent in current economic assessments.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.

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