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Commuters pore over newspaper columns; politicians spend fortunes on deciphering polling data; bosses sit in thrall to the pronouncements of coiffed young flip-chart merchants from management-consulting firms.Governments are as keen as anyone to know the future, and one of the main jobs of intelligence agencies is to arm them with forecasts about how the world will look months or years from now.
"Nihon no Jidai" (Japan's Era), by Keitaro Hasegawa, took the prize with its bold forecasts about how Japan would soon be managing the flow of money, people and goods around the world.It may be unfair to single out Mr Hasegawa just because his book sold more copies than the dozens of others that made similar extrapolations.
They made some wild forecasts about how they expect it to rise to 70percentt by 2015 — wild because the issue in Mexico and Latin America goes beyond mere access and connectivity.
Notably, instead of offering hard numbers or forecasts about how many locations are Isis-ready nationwide, the official announcement only cited research claiming that there will be "hundreds of thousands" of locations in the U.S. that will have NFC-enabled payment terminals by the end of the year.
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(Justice Ruth Bader Ginsburg told the Senate she would offer "no forecasts, no hints" about how she would decide cases).
The forecasts include advisories about how to prepare for imminent dry spells and how to build small, low-cost water harvesting structures.
A forecast is made about how research in feature interactions needs to readjust to address the new challenges posed by the emerging architectures.
The campaign to apply these meteorological techniques to flood forecasting raises important questions about how the probabilistic information these systems provide can be used for what in operational terms is typically a binary decision of whether or not to issue a flood warning.
You can read in detail about how the forecasts are made here; I'll stick to a relatively brief summary below.
Beyond the bright spots, the economic picture was mixed enough that economists, analysts and retailers were split about how dire the forecast would be for the months ahead.
The economy has too many complicated moving parts, and despite all the sophisticated forecasting techniques, too little is known about how the parts interact.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com