Sentence examples for on which estimate from inspiring English sources

Those drags are separate from the costs of the shutdown, which are expected to reduce the annualized growth rate of gross domestic product in the fourth quarter by 0.2 to 0.6 percentage point, depending on which estimate is used.

The parallels with the treatment of the Jews are clear and noted, but whereas the Holocaust shocked Europe into examining its conscience on anti-Semitism, even the murder of between 100,000 and 1.5 million Roma by the Nazis (depending on which estimate you take) appears to have done little to exorcise our prejudices.

What this portends for Israeli society may be disturbing — depending on which estimate you choose, the combined population of Palestinians in Israel and the occupied territories will exceed the number of Jews there as soon as 2020 — but it doesn't make peace any more likely.

In the most extreme case the Betz limit could be 'exceeded' depending on which estimate of ambient velocity was used.

Depending on which estimate you use, that means that Flash has found its way to somewhere between 6% and 8% of the Android handsets that it could possibly run on.

Depending on which estimate you believe, the number of connected devices in use around the world by 2020 will range somewhere from 20 billion to 75 billion.

I am inclined to agree that Blair is partly responsible for the deaths of between 100,000 and one million people since 2003, depending on which estimates you believe.

After decades of increasingly deterministic geneticism, it is fast becoming apparent that the studies of identical twins on which estimates of heritability are based are not reliable, as demonstrated in American psychologist Jay Joseph's new book The Gene Illusion.

The overall cost is a big contributing factor in terms of its ability to reach a large number of customers – Samsung leads the pack by a wide margin in terms of overall sales, and Vive likely sold only somewhere south of 500,000 units, depending on which estimates you believe.

No state implemented or repealed a mandatory reporting law for physicians during the study period, thus the effect of mandatory reporting laws was based on comparison of adjusted rates of fatal crashes in states with versus without laws a cross-sectional comparison which is more susceptible to bias than the longitudinal comparisons on which estimates of the effects of other policies were based.

In particular, we have had to make the simplifying assumption that all users are in the network for the entire period on which estimates are to be based - as the exact time a user begins to follow other users' tweets is not observed - and we found this assumption to be suspect beyond 45 days from the end of the data collection period.