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A person not familiar with all of the special knowledge about a particular instrument should not try to draw too many conclusions from printed data. Such data typically contains certain assumptions about the equipment not necessarily known to outsiders.
--
The Big Ear Wow! Signal : What We Know and Don't Know About It After 20 Years (1 September 1997); section: Vast Conclusions from "Half-Vast" Data

 

Jerry R. Ehman

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Knowledge about limitations of your data collection process affects what inferences you can draw from the data.

 

Nick Bostrom

 

We really haven't got any great amount of data on the subject, and without data how can we reach any definite conclusions? All we have — everything — favors the idea of what religionists call the "Hereafter." Science, if it ever learns the facts, probably will find another more definitely descriptive term.

 

Thomas Alva Edison

 

Cosmologists have plenty of ego — how can a person not be ego-driven when it's your job to deduce what brought the universe into existence? But without data, their explanations were just tall tales. In this modern era of cosmology, each new observation, each morsel of data wields a two-edged sword: it enables cosmology to thrive on the kind of foundation that so much of the rest of science enjoys, but it also constrains theories that people thought up when there wasn't enough data to say whether they were wrong or not. No science achieves maturity without it.

 

Neil deGrasse Tyson

 

I want to put paid to this idea that if you've nothing to fear, you've nothing to hide. I interviewed a really interesting guy in this book. He ran the data campaign for the Obama election, when Obama was being elected. And what they do is they just harvest huge troves of databases. And they're doing it for the basis of trying to predict who might vote for Obama in the election. And he just took me through this whole data business – data brokerage, data dealing. And he showed me this 10,000... well, it was a 464 page dictionary, a data dictionary, with 10,000 data units in it. So that's for every person, it's 10,000 things that you could find out about that person. Their political association, if they drink Coke or Diet Coke, what sort of magazines do they subscribe to, have they ever had any court cases against them. It's just like a raft of stuff. The problem is, is how these things are used. It's fine if somebody wants to sell you some products, but increasingly states are accessing all this information. And they're building algorithms to try and predict criminals. ... It's pretty well-known that the National Security Agency in America is building algorithms and it's taking all of these datasets and basically trying to predict who is going to be a problem for us in future. And to me that just seems an incredibly dangerous road for us to go down, that you’re no longer innocent until proven guilty. We’re starting to imagine or predict who is going to be a problem.

 

Heather Brooke

 

We are thus 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.

 

Bertrand Russell