A Quote by Jim Peebles

Sometimes one must make extended conclusions from limited data. — © Jim Peebles
Sometimes one must make extended conclusions from limited data.
With too little data, you won't be able to make any conclusions that you trust. With loads of data you will find relationships that aren't real... Big data isn't about bits, it's about talent.
The biggest mistake is an over-reliance on data. Managers will say if there are no data they can take no action. However, data only exist about the past. By the time data become conclusive, it is too late to take actions based on those conclusions.
People do not like to think. If one thinks, one must reach conclusions. Conclusions are not always pleasant.
Our data has been harvested, collected, modeled, and monetized - sometimes sold on as raw data, and sometimes licensed just for advertisers to be able to target us.
Modern statisticians are familiar with the notion that any finite body of data contains only a limited amount of information on any point under examination; that this limit is set by the nature of the data themselves, and cannot be increased by any amount of ingenuity expended in their statistical examination: that the statistician's task, in fact, is limited to the extraction of the whole of the available information on any particular issue.
Older generations of Wi-Fi weren't quite robust enough to deliver video in the home without breaking up and losing packets and so forth. 5G Wi-Fi gives you extended reach, extended data rates, and more robust coverage.
What is the good of drawing conclusions from experience? I don't deny we sometimes draw the right conclusions, but don't we just as often draw the wrong ones?
We are ... led to a somewhat vague distinction between what we may call "hard" data and "soft" data. This distinction is a matter of degree, and must not be pressed; but if not taken too seriously it may help to make the situation clear. I mean by "hard" data those which resist the solvent influence of critical reflection, and by "soft" data those which, under the operation of this process, become to our minds more or less doubtful.
Extended families have never been the norm in America; the highest figure for extended-family households ever recorded in Americanhistory is 20 percent. Contrary to the popular myth that industrialization destroyed "traditional" extended families, this high point occurred between 1850 and 1885, during the most intensive period of early industrialization. Many of these extended families, and most "producing" families of the time, depended on the labor of children; they were held together by dire necessity and sometimes by brute force.
The plain fact is that there are no conclusions. If we must state a conclusion, it would be that many of the former conclusions of the nineteenth-century science on philosophical questions are once again in the melting-pot.
Data!data!data!" he cried impatiently. "I can't make bricks without clay.
Data are just as often molded to fit preferred conclusions.
EMA research evidences strong and growing interest in leveraging log data across multiple infrastructure planning and operations management use cases. But to fully realize the potential complementary value of unstructured log data, it must be aligned and integrated with structured management data, and manual analysis must be replaced with automated approaches. By combining the RapidEngines capabilities with its existing solution, SevOne will be the first to truly integrate log data into an enterprise-class, carrier-grade performance management system.
The liberty of the individual must be thus far limited; he must not make himself a nuisance to other people.
Chemistry is necessarily an experimental science: its conclusions are drawn from data, and its principles supported by evidence from facts.
We also use our imagination and take shortcuts to fill gaps in patterns of nonvisual data. As with visual input, we draw conclusions and make judgments based on uncertain and incomplete information, and we conclude, when we are done analyzing the patterns, that out picture is clear and accurate. But is it?
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