Read more: The road to artificial intelligence: A case of
data over theory; Robots are stronger, faster, more durable... and hackable
Not exact matches
Whatever roles philosophical and theological ideas played in the debates
over heliocentrism, biological evolution, and the Big Bang
theory, the scientific issues were eventually settled by more and better
data and by considerations that were purely «scientific» in the modern sense.
Um, let's see here... the
theory of evolution is based on factual
data observed
over time.
Dr. Schwab also points out that while numerous
theories on PJK risk have been put forth
over the years, few orthopedic centers have had enough
data or resources to adequately study it.
The
data supports a
theory, first proposed in the late 1970s, that has been bolstered by increasing evidence
over the past 10 to 15 years — that birds collect magnetic - field information through specialized receptors in the eye.
All evidence of the big bang, this remarkable edifice of
theory and observation that we built up
over the past century, that has produced this cockamamy universe but one that we think we understand very well, all the
data is consistent with a single picture of the universe.
Using historical
data from horizontal wells in the Barnett Shale formation in North Texas, Tad Patzek, professor and chair in the Department of Petroleum and Geosystems Engineering in the Cockrell School of Engineering; Michael Marder, professor of physics in the College of Natural Sciences; and Frank Male, a graduate student in physics, used a simple physics
theory to model the rate at which production from the wells declines
over time, known as the «decline curve.»
To check their
theory, the researchers analysed
data collected from Yahoo account holders through its search engine
over a 12 - month period.
«All of these Cassini mission measurements are changing our view of the Saturnian system, as it turns our old
theories upside down,» said Radwan Tajeddine, Cornell University research associate in astronomy and a member of the European - based Encelade scientific team that pored
over the Cassini
data and published a paper in the astronomy journal Icarus (January 2017).
Over three decades of continuous observation,
data about the sun's magnetosphere has been used to test accepted
theories about the structure of the sun and to create new ones.
I'm currently reading Ray Dalio's Principles where he describes the process of «backtesting» his
theories over centuries of historical financial
data to design the trading systems that enabled him to develop Bridgewater Capital into the world's most successful hedge fund.
Gather clues, review the
data and come to fact - based
theories using crime scene analysis techniques that were used
over a century ago and continue to be used today to figure out the mystery.
My contention is even with the huge amount of
data, there will still be alternative
theories, information that might be material excluded, and fuzziness
over whether a given investment action was wrong or not.
Set against today's
data - processed landscape, the artworks in All Watched
Over transform
data into hidden messages, unifying
theories, complex diagrams, and personal or cultural cosmologies.
The T2 and T2LT
data points are averaged
over altitude and (for the
theory) the various models.
But we hear
over and
over again, «it hasn't changed, your
theories are wrong, the reefs is in great shape, your
data are bogus, you spend all your time in a lab in a city, etc.» And you know what; it gets frustrating.
In the light of urban environmental transition (UET)
theory, this study explores the relationship between carbon dioxide (CO2) emissions, economic growth, urbanization and trade openness using updated Chinese
data over the extended period (1971 - 2013).
This discussion was on the actual science of dendroclimatology and while there are some snide remarks on both sides, I don't see why that would deter anyone from coming here and getting down and dirty
over theory or
data.
In the Comment by Nuccitelli et al., they make many false and invalid criticisms of the CFC - warming
theory in my recent paper, and claim that their anthropogenic forcings including CO2 would provide a better explanation of the observed global mean surface temperature (GMST)
data over the past 50 years.
I've got a physical
theory with cooboratung
data that can explain why 2014 May turn out to be the warmest year on record and why the Pacific Ocean has been warming for
over 50 years, with this year being the warmest Pacific of those 50 years.
Not that I have any
data to the contrary of course, but on the
theory that hotter air
over time might cause the rural ground - air temperature difference to increase at T - min times and thus cause a greater inversion effect
over time.
We will see that
over the last several years, while correlations between CO2 and temperature exist in the
data, much of the historical circumstantial evidence for AGW
theory has gotten weaker, and we will cover «global dimming» and see if this effect makes the case for AGW stronger.
In a number of past posts
over at Coyote Blog, I have noticed the phenomenon of published studies whose
data does nothing to bolster the
theory of anthropogenic global warming adding in a line or two in the article saying that «of course the author's support anthorpogenic global warming
theory» in the same way movies routinely assure audiences that «no animals were hurt in the filiming of this movie.»
The
data over the past decade is now solidifying in general agreement with
theory.
So here is where I look at the
data at its most reliable and deduce that energy out declined
over the period showing up in the deep ocean — exactly as the
theory would suggest.
I was taught that if your
data was so poor that your margin of error overwhelmed your
theory, you went back, re-designed your experiment and started
over.
«Given the controversy
over the veracity of climate change
data,» Sammon wrote, «we should refrain from asserting that the planet has warmed (or cooled) in any given period without IMMEDIATELY pointing out that such
theories are based upon
data that critics have called into question.»
The models assume very small declines and increases (less than 1 % pp) in relative humidity at these levels
over the same period (depending on height) so the
data would be very inconsistent with the models and the
theory.
I think the crux of the problem is that we don't have
data over a long enough time span to adequately inform climate
theory.
Safety in numbers will prove
over time, I suspect, to be the first major
theory based on objective
data that can break down the double standard we all pedal under.
Plus on top of this, you consider all the
data manipulation that GISS has nicely done
over the years with historical climate
data you realize the entire CO2
theory is crap.
Taking this
data into consideration through the lens of Contrary Opinion
Theory, the present stage could be a rally move to $ 820, from where another lateral market would consolidate the new cycle with new all time objectives
over $ 1200.
We tested this
theory using structural equation modeling of
data collected from 335 families
over a 4 - year period of time, from the target children's early adolescence into their middle adolescence.
Investment sales
data bears out the
theory that industrial will be king
over the coming year.