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Freedom of Information Requests Turn Up Creationist Materials In Schools
An anonymous reader writes: In 2008, Louisiana passed a law that was designed to let teachers introduce creationism into public classrooms alongside evolution. Zack Kopplin, a student at the time, decided to fight the law by sending Freedom Of Information Act requests to the schools, asking for anything mentioning creationism or the law itself. While most ignore him, he has received documents showing a clear anti-science stance from school officials. "In one, which appears to contain a set of PowerPoint slides, there's a page titled "Creationism (Intelligent Design)" that refers students to the Answers in Genesis website, along with two other sites that are critical of that group's position. In another, a parent's complaint about a teacher who presents evolution as a fact is met by a principal stating that 'I can assure you this will not happen again.'"
In the strict definition, it is a theory which means it's a "hypothesis supported by facts and evidence which leads us to conclude it's the best explanation for what we experience". We do see "speciation" occur in the lab, we see evolution occur even within our own species. The macro/micro evolution debate was invented by ID'ers to 'prove' evolution is false, there is no such thing as macro evolution (species do not jump up/down the evolutionary ladder), there is only small changes that eventually (measured in geological times) lead to different 'species'. But from a genetic viewpoint, all species are very similar and even some species we previously classified as separate species because of how they look are genetically identical (eg. dogs and wolves, certain birds, insects)
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Attacking his every statement with an ad hominem only hurts your argument.
"National Security is the chief cause of national insecurity." - Celine's First Law
" yet it was never (and likely never will be) directly observed." -
That's totally untrue. There's a kind of butterfly which loves to sit on the trunks of birch trees, and has a colour that makes it practically invisible to predators on that background. There comes industrial pollution and birch trees are not white anymore but more or less gray, with the butterflies clearly visible. Within a few generations, very strong natural selection made them change their colour to a dirty gray. Then things get cleaned up, no unlimited emissions from power stations, birch trees get whiter, guess what: The butterflies got whiter.
You morons and your made-up "virii" word...
That is not "essentially happening". Let's fleshen out your example:
You are tasked with recording the temperature of every day of 1962, at noon (apparent solar time). Every day you take a temperature measurement, and describe when and how it was taken. You release the data and the description of your method. Good work! You've just given some data to the science community, which is a lovely thing to do, and everyone rightly thinks you're a real hoopy frood.
Now, the years pass and someone wants to use your data, as they are very interested in the temperatures in your part of the world in 1962. They take your numbers, and look at how they were collected. They notice that you used a "Blogg's Perfect Thermometer", which a year after you made your measurements were shown to be poorly calibrated. The researcher then finds the likely amount the thermometer is off by (by whatever method they can - testing lots of those thermometers, etc.), and then uses that to correct your data. Now your data is even more accurate! You should be very happy.
Then, someone else looks at this data, and notices that you took the temperature at mid-day, not apparent solar time. To fix this, they use another source of temperatures to work out the difference on each day apply it to your data. Your data is now even more accurate! Yay! Happy times!
At no point did anyone simply look at your data and go "fuck it I don't like this let's change it" - they saw errors in the measurement methodology, quantified them, and corrected each point. The end result is more accurate data. The most recent climate-related data correction you are probably referring to was the buoy measurements, which showed a difference between ship-born measurements and the buoys' measurements. They're both measuring the same thing, so clearly there is some calibration issue or another problem in the methodology, as they should be returning the same values. They identified the problem and calculated the difference, and could then choose to apply it to the shipping temperatures, or to the buoy temperatures. Either is fine, as they are interested in the change of temperature rather than the actual temperature itself. They chose to change the buoy temperatures as the data set is less. That's it. At no point was anything dodgy done, though I can imagine to someone who doesn't want their findings to be believed would see something shady in it. That speaks more of you than of the scientists :)