A Quote by Ed Markey
The falsification of scientific data or analysis is always a serious matter
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The falsification of scientific data or analysis is always a serious matter.
Evidence-based reasoning underpins all scientific thinking, and it involves testing hypotheses or theories against data. Validating a theory requires replicable measurements from independent groups with different equipment and methods of analysis. Convergence of evidence is critical to the acceptance of a scientific idea.
My answer to someone who is in contrast with me - by not seeing God in the scientific data - is that you don't see God in the scientific data because you're not me. I have other experiences than you have, that bring me to look at this data as enriching my experience of God.
It is an understatement to say that the time has arrived for a serious and open international dialogue regarding the possibility of future interplanetary relations. In no other area of human experience has so much evidence existed for so long, and yet been attended by such a paucity of serious research and analysis - at least in the civilian domain. While the subject matter of UFOs itself is extraordinary, it is the absence of a serious human response to it that is most extraordinary.
Scientific data are not taken for museum purposes; they are taken as a basis for doing something. If nothing is to be done with the data, then there is no use in collecting any. The ultimate purpose of taking data is to provide a basis for action or a recommendation for action. The step intermediate between the collection of data and the action is prediction.
In my view, our approach to global warming exemplifies everything that is wrong with our approach to the environment. We are basing our decisions on speculation, not evidence. Proponents are pressing their views with more PR than scientific data. Indeed, we have allowed the whole issue to be politicized-red vs blue, Republican vs Democrat. This is in my view absurd. Data aren't political. Data are data. Politics leads you in the direction of a belief. Data, if you follow them, lead you to truth.
It is the rule which says that the other rules of scientific procedure must be designed in such a way that they do not protect any statement in science against falsification.
I can now rejoice even in the falsification of a cherished theory, because even this is a scientific success.
A theory is only as good as its assumptions. If the premises are false, the theory has no real scientific value. The only scientific criterion for judging the validity of a scientific theory is a confrontation with the data of experience.
All research in the cultural sciences in an age of specialization, once it is oriented towards a given subject matter through particular settings of problems and has established its methodological principles, will consider the analysis of the data as an end in itself.
For reporting a scientific finding, I was called a 'conspiracy theorist.' Only in America is scientific analysis seen as conspiracy theory and government lies as truth.
It is not a medicine. You don't know what's in it. If there were compelling scientific and medical data supporting marijuana's medical benefits that would be one thing. But the data is not there.
Random search for data on ... off-chance is hardly scientific. A questionnaire on 'Intellectual Immoralities' was circulated by a well-known institution. 'Intellectual Immorality No. 4' read: 'Generalizing beyond one's data'. [Wilder Dwight] Bancroft asked whether it would not be more correct to word question no. 4 'Not generalizing beyond one's data.
The brain, Schopenhauer says, is the 'one great tool' that has enabled a creature endowed with neither sharp teeth nor claws to survive in a competitive environment. Moreover simplification of data, and indeed judicious falsification, are adaptive traits.
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 biggest challenge in big data today is asking the right questions of data. There are so many questions to ask that you don't have the time to ask them all, so it doesn't even make sense to think about where to start your analysis.
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