Quotes About Data

But that's just me. Others see things differently. My point here is just that the failure of people to attend to data in the political domain does not reflect a limitation in their capacity for reason. It reflects how most people make sense of politics. They don't care about truth because, for them, it's not really about truth.

Empathy is limited as well in that it focuses on specific individuals. Its spotlight nature renders it innumerate and myopic: It doesn't resonate properly to the effects of our actions on groups of people, and it is insensitive to statistical data and estimated costs and benefits.

empathy distorts our moral judgments in pretty much the same way that prejudice does. Empathy is limited as well in that it focuses on specific individuals. Its spotlight nature renders it innumerate and myopic: It doesn't resonate properly to the effects of our actions on groups of people, and it is insensitive to statistical data and estimated costs and benefits

If you look at the science that describes what is happening on earth today and aren't pessimistic, you don't have the correct data. If you meet people in this unnamed movement and aren't optimistic, you haven't got a heart.

if you look at the science about what is happening on earth and aren't pessimistic, you don't understand data. But if you meet the people who are working to restore this earth and the lives of the poor and you aren't optimistic, you haven't got a pulse.

Reading an endless litany of study after study-one article found this, and another experiment found this, and another study found this-is like watching laundry spinning in a dryer, except that something good eventually comes out of a dryer!

Collecting data is easy; writing about data is hard.

When Larry Kramer tells Mathilde Krim in Interview about the closeted gay man at the National Institutes of Health who buried the AIDS data for two years, that's when I understand how doomed we were before we ever knew. It will be recorded that the dead in the first decade of the calamity died of our indifference.

I see the mycelium as the Earth's natural Internet, a consciousness with which we might be able to communicate. Through cross-species interfacing, we may one day exchange information with these sentient cellular networks. Because these externalized neurological nets sense any impression upon them, from footsteps to falling tree branches, they could relay enormous amounts of data regarding the movements of all organisms through the landscape.

NASA reports that microbiologists at the University of Tennessee, led by Gary Sayler, have developed a rugged biological computer chip housing bacteria that glow upon sensing pollutants, from heavy metals to PCBs (Miller 2004). Such innovations hint at new microbiotechnologies on the near horizon. Working together, fungal networks and environmentally responsive bacteria could provide us with data about pH, detect nutrients and toxic waste, and even measure biological populations.

Bedrijfsresultaten - die steeds een selectief beeld van de werkelijkheid bieden - woren elektronisch geregistreerd, gegroepeerd en verwerkt, nagenoeg zonder dat er nog eigenlijk denkwerk aan te pas komt.

As Procter & Gamble's Chief Marketing Officer has said, "Marketing is a $450 billion industry, and we are making decisions with less data and discipline than we apply to $100,000 decisions in other aspects of our business.

But her thoughts are often of the past. That evanescent, pervasive, slippery internal landscape known to no one else, that vast accretion of data on which you depend - without it you would not be yourself. Impossible to share and no one else could view it anyway. The past is out ultimate privacy; we pile it up, year by year, decade by decade, it stows itself away, with its perverse random recall system.

Everything you do inside an AdWords account is a little science experiment.

No web tracking system I've ever seen gives perfectly accurate numbers. But dollars in the bank—that's a pretty reliable measure.

In 'A Scandal in Bohemia', he said it was a capital mistake to theorize without data, because you ended up twisting facts to suit theories instead of the other way around.

ideologues of every stripe, as well as folks with interests economic, political, or personal, can interpret data and statistics to suit their own purposes...

Moreover, data science (and business in general) is not so worried about statistical significance, but more concerned with optimizing overall effort and results.

Machine learning tends to be more focused on developing efficient algorithms that scale to large data in order to optimize the predictive model. Statistics generally pays more attention to the probabilistic theory and underlying structure of the model.

Nowhere is the nexus between statistics and data science stronger than in the realm of prediction — specifically the prediction of an outcome (target) variable based on the values of other "predictor" variables.

You can't manage what you can't measure.

A huge quantity of sensor log files were stored in the RI array, almost all of them containing negative information.

This is the age of total digitalisation; everything is online always.' 'Uh huh, and that's why our politicians are pure and clean, and the world works so well, is it? Because everybody knows everything and there's no hiding place.

In the November 2006 issue of Science, a report by an international team of scientists studying a vast amount of data gathered between 1950 and 2003 declared that if current trends of fishing and pollution continue, every fishery in the world's oceans will collapse by 2048...The oceans as an ecosystem would completely collapse.