Sentence examples for be overstated in a from inspiring English sources

Exact(4)

The importance of this dual understanding cannot be overstated in a part of the UK where identity politics have often gone hand in hand with sectarian conflict.

The importance of retail politics can't be overstated in a state with a population of 754,844, smaller than that of Indianapolis.

The significance of this type of consolidation can hardly be overstated: in a society where policymakers prefer to rely on competition – rather than regulation – to protect consumers, AT&T's proposed merger with T-Mobile could have serious ramifications for mobile phone users.

Similarly the accounts payable balance relating to field transaction, which increased from US$3.7 million at the end of 1995 to US$7.9 million at the end of 1997, may also be overstated in a proportion which is not easy to identify as a result of the difficulties mentioned above.

Similar(56)

Alex Castellanos, the Republican advertising strategist who worked on Mr. Romney's presidential campaign in 2008, said questions of likability may be overstated in an election dominated by economic concerns.

"I think that's been overstated in a sense," said Kidd, 39, of the Knicks' collective age.

Profits were overstated in an official report directly reflecting Tesco taking fee payments from suppliers earlier and paying them later than they should have.

Consequently, the role of ethno-cultural differences must not be overstated in staff-family conflict in a multi-ethnic critical care context.

But the hedge fund questioned that characterization, arguing that the errors may have caused Herbalife's earnings to be overstated in the fourth quarter of last year, a crucial period when the company was battling the initial salvo from Mr. Ackman.

While I do agree with your goals, I think cost reduction is a theme that cannot be overstated in this reform process.

While the effect of health on vulnerability may be overstated, in the presence of simultaneity, the focus of this study is to establish a causal relationship between the two variables.

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