The assessment that the statement is 'likely_true' is based on strong, direct evidence from a highly relevant source, supported by contextual evidence from several authoritative sources, with no conflicting information provided.The most critical piece of evidence comes from the MSN news article, which is rated with the highest relevance (1.00). It directly addresses the statement by reporting that the U.S. Bureau of Labor Statistics (BLS) uses 'imputations' (a form of estimation for missing data) and quantifies a recent increase, stating the share of this method 'jumped to 35% in June.' This provides specific, falsifiable support for the claim.This central claim is bolstered by several other high-authority sources that confirm the underlying premise that estimations are a standard part of CPI calculation. The J.P. Morgan market report confirms the use of 'imputed rent' as a key component of the CPI, validating the methodology in principle. The Economic Statistics Centre of Excellence (ESCoE) publications list research on 'Missing Data' in 'Consumer Price' indices, further establishing that estimation is a recognized and studied aspect of official economic statistics. The FRED portal authenticates the BLS as the primary source for US CPI data, confirming the context of the discussion.While the post on X (formerly Twitter) has very low authority, its content is highly relevant and corroborates the claim made in the more credible news article. No provided source contradicts the statement. The remaining sources are either irrelevant or only tangentially related. Therefore, the combination of a direct, quantified claim from a news report and supporting contextual validation from highly credible financial and academic institutions makes it highly probable that the use of estimated entries in CPI data has increased.