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--With thanks to Chareen on the Sonlight Curriculum Forums
History, Religion, Epistemology and Communication with a little Politics, Economics and Legal Theory thrown in for good measure. Plus . . . whatever strikes me as interesting or humorous.
--With thanks to Chareen on the Sonlight Curriculum Forums
Although the entire physical universe may be the object of investigation by the natural sciences, not all of its attributes fall within the domain of scientific inquiry.
Science is a methodology, a limited way of knowing about the natural world. Scientific research proceeds by the search for chains of cause-and-in fact and confines itself to the investigation of 'natural' entities and forces. This self-limitation is sometimes referred to as 'methodological naturalism.' Science restricts itself to proximate causes, and the confirmation or denial of ultimate causes is beyond its capacity. Science does not deny the existence of a creator--it is simply silent on the existence or action of God. The term 'methodological naturalism' is intended to communicate that only natural (as opposed to supernatural) causes can in principle be investigated using scientific methodologies. Methodological naturalism describes what empirical inquiry is--it is certainly not a statement of the nature of cosmic reality."Ahh!" many of us think: "The scientific method." And we think of what we learned in high school about making observations, forming hypotheses that might explain the observations, then creating experiments that might confirm, disconfirm, or force one to modify one's hypotheses, etc.. . . Our most profound questions about the nature of reality (questions of ultimate meaning, purpose, and morality), while they may arise from within science, are theological or philosophical in nature, and their answers lie beyond the reach of science.--Op. cit., p. 7
Experimental science is the primary type of science done in the fields of physics, chemistry, and molecular biology, as well as parts of ecology and geology. [Done i]n the laboratory, experiments are accessible; the scientist can measure what is happening, monitor the experiment from beginning to end, destroy the products of the experiment, and start over at any time. She can control many variables in the experiment2. Observational Science. . . and remove externalvariables. . . . And she can repeat experiments in the lab if necessary to confirm the first results.. . . Experimental scientists make testable predictions. . . that can be confirmed or contradicted in future experiments.
Sometimes controlled experiments cannot be done because the system under study won't fit in the lab, is too far away, or is too dependent on its environment. In those cases, scientists can still do carefulAnd then, finally, there isobservations. . . .
Observational science is commonly done in the fields of meteorology, ecology, medicine, astronomy, and geology.. . . The ecologist can't sit all year and watch the plants grow, and an astronomer can't travel to a star to measure its temperature. But scientists devise alternate methods to get around these difficulties, such as counting plants periodically or analyzing the light of the star to deduce its temperature. Observational science is not controlled; meteorologists cannot produce a cold front whenever they like, nor do ecologists burn down forests just so they can watch how they recover. Observational science must take nature as it comes.
A lack of control makes observational science less repeatable than experimental science. The forest fire can't be repeated whenever the ecologist wants, but fires happen often enough that many are available to study. Usually enough examples are available that the consistency of the underlying laws of nature can be tested on several cases.. . . [J]ust like experimental science, observational science makes testable predictions (like the wildflower growth rate after a fire) that can be confirmed or contradicted in observations of other similar systems.
[This] third method of scientific investigation [involves] modeling the past behavior of systems, including events that occurred before they could be directly observed. Here's an example:The Haarsmas suggest you check out the article K-T Boundary Investigation for "another real-life example of historical science."
An ecologist travels to a remote forest in order to study its history. She first examines a large tree that has recently fallen down in a storm. She takes a thin slice of the trunk to the laboratory and counts the tree rings. She finds that a 131 years ago a particular ring is extremely thin (indicating drought) and shows evidence of mild fire damage. She hypothesizes that much of the surrounding forest earned down 131 years ago, but this tree survived. Based on the work of her colleague who studies recent forest fires, she makes predictions about the other trees living in the forest: the largest trees will show similar fire damage 131 years ago; many of the smaller trees will prove to be a 120-125 years old, having sprouted 5-10 years after the fire. To test this prediction, she takes core samples of several living trees and looks at their rings. The results confirm her prediction: the older trees all show fire damage 131 years ago, and many of the smaller trees are about 120 years old.
Historical science is common in the fields of ecology, climatology, astronomy, cosmology, evolutionary biology, geology, and paleontology. The goal of historical science is to deduce the natural history of systems.. . . Historical science is not directly accessible because no scientists were around at the time to make observations; however, those events are indirectly accessible because of the evidence they left behind. Like a detective, a historical scientist uses the evidence available today to deduce the history.
Like observational science, historical science is not controlled: scientists cannot go back in time to change the initial event, so they have to work with what actually happened. Historical science investigations can be repeatable when many similar historical situations are available to study (such as the many different trees born after the same forest fire). In some cases, however, the event is not repeated (as in the case of the universe: there is only one universe for cosmologists to study), but scientists can still find evidence that tells them about the natural processes that occurred during that event.
Historical science, at its best, is particularly useful for testing whether physical laws remain unchanged over the years, because historical science gathers data related to events that happened over as wide a period of time as possible.
Most important, historical science makes testable predictions, just as experimental and observational science do. Scientists routinely study one system (such as one tree or one star cluster), make a model for its history, and then predict what they will find in additional observations. These observations could be of other similar systems, or they could be of the same system but made with different instruments. In either case, the observations test the prediction, supporting or contradicting their model for the history of the system.
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Let's say you have a neurological disorder and require brain surgery. The procedure that can save your life is very risky. Your chances of survival are 50/50. Your HMO lets you choose between two doctors: a relatively young doctor who has never performed the procedure before and a world-renowned expert with hundreds of successful operations to his credit. Obviously, you go with the more experienced doctor, right?Back to my main point: Let us not confuse philosophical commitments with science.
Now let's say that the more experienced doctors a militant Darwinist who strongly believes that the human brain is merely the product of chance plus natural selection over time. When he's not performing surgery, [he seeks to turn all the results of] his pioneering work in neurobiology [into a means of proving] that all of our thoughts and emotions are merely the result of chemistry and biology.
Contrast this with the sincere Christian faith of the young doctor. He is a member in good standing of his local church. He believes that God created the world in six 24-hour days. He believes that man has a soul and that the human brain was intelligently designed by a sovereign Creator.
Now who do you go with? Does knowing the philosophical commitment of each doctor change anything? Would you rather have the seasoned expert or the young novice cutting into your skull? Are you more concerned about the procedure or about the religious beliefs of the one performing it? I think most Christians would still go with the more experienceddoctor. . . .
The reason is simple, we direct questions of material procedure (brain surgery) to the most qualified scientists [or, in this case, medical doctors! --JAH] regardless of their religious or philosophical commitment.--Ibid., pp. 25-26
two . . . methodological questions - one that I’ve been asking for a while: how he operationally allocates tree populations into “linear” and “nonlinear” trees . . . [and how] he decide[d] which trees to use and which trees not to use.
In 4 cases (Athabaska, Jaemtland, Quebec, Zhaschiviersk), Esper’s site chronology says that not all of the data in the data set is used. This is not mentioned in the original article. What is the basis for de-selection of individual cores?
As described, in some of the sites we did not use all data. We did not remove single measurements, but clusters of series that had either significantly differing growth rates or differing age-related shapes, indicating that these trees represent a different population, and that combining these data in a single RCS run will result in a biased chronology. By the way, we excluded other sites because growth was too rapid, for example.
“As described, in some of the sites we did not use all data.” I challenge anyone to locate any “description” or even hint in the four corners of Esper et al 2002 that they did not use all the data, let alone any reason for why they did not use all the data. There is no “description” or even hint in Esper et al 2002 [the original article] that all the data was not used. The admission came only in response to my parsing through data that took nearly two years to get.
Esper now says that cores were de-selected to avoid a “biased chronology” and cited Esper et al 2003 as a suppposed authority for the procedure. However an examination of Esper et al 2003 provides no such authority. In fact, the closest thing in Esper et al 2003 to such a statement is the following, which I’ve quoted before:Before venturing into the subject of sample depth and chronology quality, we state from the beginning, “more is always better”. However as we mentioned earlier on the subject of biological growth populations, this does not mean that one could not improve a chronology by reducing the number of series used if the purpose of removing samples is to enhance a desired signal. The ability to pick and choose which samples to use is an advantage unique to dendroclimatology.
Here Esper is talking about removing data to “enhance a desired signal”. Excuse me - that doesn’t sound like a way of avoiding a “biased chronology”; it sounds like a recipe for making biased chronologies - biased towards a “desired signal.”
Anyway. Once more: please go to http://2007.weblogawards.org/polls/best-science-blog-1.php and vote for Climate Audit for "Best Science Blog."Right now, the 2007 Best Weblog Contest is going on. Ten blogs in each of a number of categories. One category is science.
An underdog blog is the mouthpiece for a guy who, on his own dime, is working hard to see better scientific work done on the challenge of climate change. Leslie and I [that's my brother and his wife--JAH] have enjoyed helping a bit in our spare time.Last year's contest (in the science arena) was won by 4000 votes -- and voters are allowed to vote every 24 hours for a week. (The last day of voting is Nov 7... it's already well under way.)
The great blog: http://www.climateaudit.org/
The vote: http://2007.weblogawards.org/polls/best-science-blog-1.php
Climate Audit is by Steve McIntyre -- the guy who demonstrated errors in the "hockey stick" graph for Global Warming -- a graph created using such bad math that almost *any* data set -- even plain noise! -- will generate hockey sticks. (Steve also proved that the NASA scientist (Mann) at fault KNEW his method was bad: Mann denied he had done a particular statistical test for spurious data... yet Steve discovered Mann had an analysis hidden away in a "CENSORED" folder...with exactly the analysis Mann denied having done!)
Steve is also the guy who recently proved errors in NASA's "revisionist" temperature history, forcing them to update their data. (Yes -- today is not warmer because it was measured warmer. Today is "warmer" because they keep revising OLD temperatures DOWNWARD. I'm not kidding.)
And,
Steve is the guy who keeps highlighting unbelievable practices among climate scientists. Practices that, despite the nasty things said about him, are slowly but surely causing the rest of the scientific community to wake up. For example, this is an actual quote, in print, from a leading climate scientist:
...this does not mean that one could not improve a chronology by reducing the number of series used if the purpose of removing samples is to enhance a desired signal. The ability to pick and choose which samples to use is an advantage unique to dendroclimatology.Oh, yes: these guys literally believe that data that doesn't fit their hypothesis can be TOSSED OUT! (Earliest post on the theme: http://www.climateaudit.org/?m=200509 -- search for "A quote from Esper." It's been used more often since then, and picked up elsewhere.)
THAT is actually one key reason Leslie and I helped collect new data up near Pike's Peak.
The claim has been consistently made that Trees tell a temperature story of global warming. And that it's too hard, too expensive for the Boulderites to go back up and update the data (last collected in 1984.) Yet we'd been hearing rumors that maybe all was not well. So, based on Steve's Starbucks hypothesis (can a team start at Starbucks in the morning, collect tree ring samples and be back in time for dinner?), we went on our adventure. And proved his hypothesis right.
Photo Gallery, by the way: http://picasaweb.google.com/Almagre.Bristlecones.2007
Some of the story (google Almagre climate audit and you'll get more than you want to know)... http://www.climateaudit.org/?p=2189