Sentence examples for failing to demonstrate from inspiring English sources

A charity that is failing to demonstrate impact may find it difficult to source funding, for example.

It viewed the commission's decision as an interference in the free market, an example of the EU failing to demonstrate a "commitment to economic openness".

Kate Jennings of the RSPB said: "Once again, plans to build a Severn barrage have been effectively dismissed, described as 'hypothetical' and failing to demonstrate either effective mitigation of environmental impacts or value for money.

Senator John W. Warner, Republican of Virginia, sent a letter to Mr. Small accusing the Smithsonian of failing to demonstrate that closing the center was "in the national interest" and announcing public hearings on the matter.

Early in her career, Lessing was much castigated for failing to demonstrate sufficient breast-beating over abandoning her two children from her first marriage when she left Africa in 1950.

By failing to demonstrate any control of his party in the AV referendum – with a majority of his MPs campaigning against him and a majority of his supporters voting against him – the Labour leader has done nothing to establish himself as a strong leader.

Not as some weird Ukip-defence mechanism, but because the schools inspectorate recently dropped some schools' grades for failing to adequately demonstrate such values.

• Advocates like Ms. Shahan say the State Farm Mutual Automobile Insurance Company, which has at least twice tangled with state officials over failing to mark salvage titles, demonstrates why the law must be fully implemented.

By analyzing the food consumption data from the 2008/09 Pesquisa de Orçamentos Familiares in Brazil, we demonstrate that failing to account for food consumed for free at school may significantly distort the assessment of the distribution of food consumption among households and therefore the assessment of the extent of food insecurity in the country.

It means that we are in a historical moment that is calling for both movements to come together to share our stories with each other, strategically build alliances and demonstrate that failing to work together is divisive and detrimental for all our communities.

We show the general relevance of these biases across different datasets, when applicable, and demonstrate how failing to normalize for these biases can potentially lead to spurious conclusions.