Sentences with phrase «really robust data»

«This is just emblematic of such a crucial underlying issue with Facebook: they've created this incredibly powerful data operation and sell really robust data to their clients but they have very few mechanisms in place to ensure people aren't going to abuse that data.»
She continued, «This is just emblematic of such a crucial underlying issue with Facebook: they've created this incredibly powerful data operation and sell really robust data to their clients but they have very few mechanisms in place to ensure people aren't going to abuse that data.»
They admit that we had virtually no ocean data that has 1000 times the heat capacity of the atmosphere and is in direct contact with the atmosphere yet they are willing to make predictions without really any robust data from that variable data at all (pre-2000) and they admitted they didn't understand clouds yet that variable could easily swamp all other effects yet they said with 95 % surety the heating from 1975 - 1998 was caused by CO2 (110 % according to Gavin).

Not exact matches

«It took full genome sequences and a lot of good sense about how to cull the data, and I think that their conclusions are really robust
Likewise, app integration is still an afterthought, and needs a more robust data connection to be really usable.
I liked that he and Brody (who founded Booklr) really dug data and provided a robust book sales data dashboard that authors could use to refine their marketing strategies.
For an example of how that «citizen science» can really work, look at what Ron Broberg and Zeke Hausfeather are doing with the weather station data — they aren't sitting around declaring that «it can't be done» or that the GISTEMP / CRU / NCDC methods are fixed, they are going into the data, making choices, seeing what impact they have and determining what is robust.
In a more conventional field, in which highly technical papers were published in professional journals rather than Nature or Science, the paper would be read by the few experts, who over the next few years would try to understand what it all means, whether it is really new, what the weaknesses might be, do their own analyses to see how robust the results are, and ask if there are conflicting data sets.
I would have thought that on this basis it was completely uncontroversial to accept the unit root model as superior (without denying that it is quite appropriate to have a squabble about if it really does fit the data better, or how robust this result is — but this doesn't seem to be your point).
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