Sentence examples for a faulty conclusion from inspiring English sources

False premise on which to then base a faulty conclusion?

The one added sentence does not significantly change what I see to be a faulty conclusion of the data presented.

Hence, reporting only a single value of efficiency is somewhat incomplete, and could perhaps mislead the author into reaching a faulty conclusion, even to the extent of erring on the direction of the difference.

The laboratory is investigating how the scientists came to their faulty conclusion, whether a buggy computer program, human error or even fraud is to blame.

So I hid my thoughts, and she hid hers, and, by the end of each visit, we'd arrived at the same faulty conclusion: both of us were doing fine.

In a moment of inattention I had confusingly passed from the correct thought that the only valuations consistent with ⊢∧ are the ∧-boolean ones to the faulty conclusion that the only class of valuations determining ⊢∧ is the class of all ∧-boolean valuations.

And before jumping to the faulty conclusion that anti-Black sexism seems no worse than the racial profiling and state-sanctioned violence that the media associates almost exclusively with Black boys and men, remember that Black girls experience both.

This false premise has led to a lot of faulty conclusions about Romney's support among the electorate.

Where data quality is poor, interpretation can be difficult and there is a danger that faulty conclusions may be drawn.

These results show that application of an appropriate dose of micro-irradiation is crucial and should be carefully determined in these types of studies; otherwise there is a risk of drawing faulty conclusions related to relocation and involvement of different repair proteins in repair of different DNA damage.

The sample for this study is made up of six (06) CEMAC member states and five other Sub-Saharan African countries that achieve the Abuja declaration, this is rather a small sample compared to Countries in Africa, thus a generalisation may lead to faulty conclusions due to the small size of the sample.