Sentence examples for making reliable predictions from inspiring English sources

While this may seem another "prescient" solution, what, exactly, is our $40 billion-a-year intelligence apparatus for, if not making reliable predictions?

Co-author Professor Andy Shepherd, also at UCL said: "Understanding what controls the amount of Arctic sea ice takes us one step closer to making reliable predictions of how long it will last, which is important because it is a key component of Earth's climate system".

For example, in the past scientists have recorded delays of 30 to 50 years between the arrival of a plant and its widespread infestation as a weed, making reliable predictions of the long-term likelihood of threats like superweeds extremely difficult.

Design for the serviceability limit states involves making reliable predictions of the instantaneous and time-dependent deformation of the structure.

Because making reliable predictions is a key objective in science, prediction markets offer potential benefits to scientific research [10], [11].

However, they were of little value in providing a unified, accurate picture of what was then known about mitotic regulation in eukaryotes and in making reliable predictions.

At this stage, there remains too much uncertainty about the scope, details, and likely consequences of Trump's economic program to make reliable predictions.

The whistleblower is thought to be among the government's inner circle and has made reliable predictions about police operations since last year's so-called '17 December' scandal, which rocked Turkish politics.

To make reliable predictions about what you might have said or thought, if you were still alive, an augmented eternity machine would need vast amounts of highly personal data: your public statements, blog entries, social media posts, photos, texts and emails – even down to what you ate for breakfast (and then promptly tweeted about).

The results were needed to make reliable predictions of the long term aerodynamic stability of the roof.

Therefore, it allows us to make reliable predictions on the output vs. pressure dependence for real technological practice.