Is a Lack of Data Holding Back Universal Basic Income Programs?

An anonymous reader quotes MIT's Technology Review:
Silicon Valley loves the idea of universal basic income. Many in the tech elites tout it as the answer to job losses caused by automation, if only people would give it a chance.... Getting people on board with basic income requires data, which is what numerous tests have been trying to obtain. But this year, a number of experiments were cut short, delayed, or ended after a short time. That also means the possible data supply got cut off.
Back in June we declared, 'Basic income could work -- if you do it Canada style.' We talked to the people on the ground getting the checks in Ontario's 4,000-person test and saw how it was changing the community. Then, just two months later, it was announced that the program is ending in the new year rather than running for three years. The last checks will be delivered to participants in March 2019.
The article complains that in addition, Finland's test program ended this year after its initial trial period, while Y Combinator's experiment 'has also faced more delays, pushing the experiment into 2019,' saying these programs illustrate the three basic issues faced by basic income tests. First, there's political disagreements. ('The Ontario program was shut down by the province's newly installed Conservative government.') Then there's also concerns about funding -- 'As you might imagine, giving away free money is expensive' -- and also fears about disrupting existing benefits 'To avoid that, they've had to work with municipal and state agencies to get waivers for pilot recipients. But getting those waivers takes a lot of time and bureaucracy....

'The only way the idea can ever be embraced on any sort of large-scale, meaningful level is with more data and bigger tests. Without that, no matter how much support it gets from Silicon Valley, it seems unlikely that the public, at least in the US, will ever come around.'

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