I like this article from The Stream, which lists a bunch of failed predictions by global warming socialists.
Here’s the list:
2015 is the ‘last effective opportunity’ to stop catastrophic warming
France’s foreign minister said we only have “500 days” to stop “climate chaos”
President Barack Obama is the last chance to stop global warming
Remember when we had “hours” to stop global warming?
United Kingdom Prime Minister Gordon Brown said there was only 50 days left to save Earth
Let’s not forget Prince Charles’s warning we only had 96 months to save the planet
The U.N.’s top climate scientist said in 2007 we only had four years to save the world
Environmentalists warned in 2002 the world had a decade to go green
The “tipping point” warning first started in 1989
Here are the 3 I thought were the worst:
7. The U.N.’s top climate scientist said in 2007 we only had four years to save the world
Rajendra Pachauri, the former head of the Intergovernmental Panel on Climate Change said in 2007 that if “there’s no action before 2012, that’s too late.”
“What we do in the next two to three years will determine our future. This is the defining moment,” he said.
Well, it’s 2015 and no new U.N. climate treaty has been presented. The only thing that’s changed since then is that Pachauri was forced to resign earlier this year amid accusations he sexually harassed multiple female coworkers
8. Environmentalists warned in 2002 the world had a decade to go green
Environmentalist write George Monbiot wrote in the UK Guardian that within “as little as 10 years, the world will be faced with a choice: arable farming either continues to feed the world’s animals or it continues to feed the world’s people. It cannot do both.”
In 2002, about 930 million people around the world were undernourished, according to U.N. data. by 2014, that number shrank to 805 million. Sorry, Monbiot.
9. The “tipping point” warning first started in 1989
In the late 1980s the U.N. was already claiming the world had only a decade to solve global warming or face the consequences.
The San Jose Mercury News reported on June 30, 1989 that a “senior environmental official at the United Nations, Noel Brown, says entire nations could be wiped off the face of the earth by rising sea levels if global warming is not reversed by the year 2000.”
That prediction didn’t come true 15 years ago, and the U.N. is sounding the same alarm today.
Should we believe the global warming socialists? Based on past predictions, we should not. And we especially should not because current levels of solar activity – which is the actual cause of climate change – are extremely low. It’s getting colder, not warmer.
Over at PhysOrg.com, there’s a study being reported highlighting a 520 million year old fossil arthropod with a highly-developed brain. So soon in evolutionary time, and an already developed brain??? (To go beside the very complex eye of the Trilobites)
Here’s what one scientist said:
“No one expected such an advanced brain would have evolved so early in the history of multicellular animals,” said Strausfeld, a Regents Professor in the UA department of neuroscience.
Sorry, Darwinists, but IDers would expect it.
Let’s keep track of the problems that this good scientific discovery creates for naturalists.
Problem #1: Darwinism does not support rapid change from single-celled organisms just before the Cambrian explosion to complex brains just after the Cambrian explosion. Darwinian evolution has to go gradually from simple to complex.
Now for some more:
And, to add insult to injury for our Darwinist brethren, here’s this confirmation of “genetic entropy” and Behe’s QRB “rule”:
“The shape [of the fossilized brain] matches that of a comparable sized modern malacostracan,” the authors write in Nature. They argue the fossil supports the hypothesis that branchiopod brains evolved from a previously complex to a more simple architecture instead of the other way around.
So, that’s another problem.
Problem #2: Darwinism does not support going from more complex to less complex organisms, in general. This is especially true for complex biological systems like brains. Darwnists must explain how complex brains can be built from simpler parts through a long sequence of likely mutations.
And more:
Here’s how the article ends:
The fossil supports the idea that once a basic brain design had evolved, it changed little over time[Translation: ID is completely correct!!!], he explained. Instead, peripheral components such as the eyes, the antennae and other appendages, sensory organs, etc., underwent great diversification and specialized in different tasks but all plugged into the same basic circuitry. “It is remarkable how constant the ground pattern of the nervous system has remained for probably more than 550 million years,” Strausfeld added. “The basic organization of the computational circuitry that deals, say, with smelling, appears to be the same as the one that deals with vision, or mechanical sensation.”
Yet another problem.
Problem #3: Darwinism does not work if organisms are observed to remain changeless and static over time. Darwinism requires change over time from simple to complex. Backwards change or no change falsifies Darwinism.
It’s just another prediction of Darwinian orthodoxy falsified by experimental evidence published in the top scientific peer-reviewed journal. Will this cause Darwinians to revise their theory to fit the evidence? Not likely. Their motivations for clinging to naturalism, the religion that undergirds Darwinism, are entirely beyond correction by evidence.
I wonder what people like P.Z. Myers and Larry Moran do when their religion comes into conflict with scientific evidence? Do they bitterly cling to their mythology from the 19th century? Or do they adjust their worldview to be in line with the progress of science?
Let Richard Dawkins explain evolution and the role of evidence:
“My argument will be that Darwinism is the only known theory that is in principle capable of explaining certain aspects of life. If I am right it means that, even if there were no actual evidence in favour of the Darwinian theory (there is, of course) we should still be justified in preferring it over all rival theories.” — p. 287, Blind Watchmaker” (1986)
Or Richard Lewontin:
“Our willingness to accept [naturalistic] scientific claims that are against common sense is the key to an understanding of the real struggle between science and the supernatural. We take the side of science in spite of the patent absurdity of some of its constructs, in spite of its failure to fulfill many of its extravagant promises of health and life, in spite of the tolerance of the scientific community for unsubstantiated just-so stories, because we have a prior commitment, a commitment to materialism. It is not that the methods and institutions of science somehow compel us to accept a material explanation of the phenomenal world but, on the contrary, that we are forced by our own a priori adherence to material causes to create an apparatus of investigation and a set of concepts that produce material explanations, not matter how counterintuitive, no matter how mystifying to the uninitiated. Moreover, that materialism is absolute, for we cannot allow a divine foot in the door.” (Richard Lewontin in New York Review of Books, January 9, 1997, p. 28)
Naturalists don’t want to have to explain why they are always believing things that are falsified by the progress of science. Naturalists fought the Big Bang tooth and nail, trying to save their eternal universe from the progress of science. Naturalists invented the now discredited oscillating model of the universe in order to “explain” the evidence for a cosmic beginning. Naturalists invented the unobservable, untestable multiverse to “explain” the cosmic fine-tuning. Unobservable aliens were posited in order to “explain” the origin of life so soon after the cooling of the Earth. Precursor fossils are invented without evidence in order to “explain” the Cambrian era explosion in biological complexity. And so on.
Evidence doesn’t matter to people who are motivated by naturalistic faith. Like belief in a flat-Earth, the delusion of naturalism is not accountable to scientific evidence. They believe what they want to believe. It’s not up for debate. For some people like Richard Dawkins, a prior lifestyle commitment makes theism (and the moral law!) an impossibility a priori. But rational people know that believing something just so that your actions are “justified” doesn’t make what you believe true.
Speaking of Richard Dawkins, if you haven’t seen the video of that coward being “Eastwooded” by William Lane Craig, here’s the link. Dr. Craig has obviously seen a lot of Clint Eastwood movies, and he manages to work in about a half-dozen Clint Eastwood lines into a careful philosophical and scientific refutation of Dawkins’ faith-based atheist delusions. I don’t mind if Dawkins wants to have his religious beliefs for comfort in the privacy of his home or church, but I don’t think that we should be making policy off of his subjective preferences. In the public square we need to be guided by public evidence – like the evidence from science.
From the Financial Post, an editorial by Ross McKitrick of the University of Guelph. He is an expert reviewer for the UN’s Intergovernmental Panel on Climate Change. (H/T ECM)
Excerpt:
[I]n 2008 and 2010, a team of hydrologists at the National Technical University of Athens published a pair of studies comparing long-term (100-year) temperature and precipitation trends in a total of 55 locations around the world to model projections. The models performed quite poorly at the annual level, which was not surprising. What was more surprising was that they also did poorly even when averaged up to the 30-year scale, which is typically assumed to be the level they work best at. They also did no better over larger and larger regional scales. The authors concluded that there is no basis for the claim that climate models are well-suited for long-term predictions over large regions.
A 2011 study in the Journal of Forecasting took the same data set and compared model predictions against a “random walk” alternative, consisting simply of using the last period’s value in each location as the forecast for the next period’s value in that location. The test measures the sum of errors relative to the random walk. A perfect model gets a score of zero, meaning it made no errors. A model that does no better than a random walk gets a score of 1. A model receiving a score above 1 did worse than uninformed guesses. Simple statistical forecast models that have no climatology or physics in them typically got scores between 0.8 and 1, indicating slight improvements on the random walk, though in some cases their scores went as high as 1.8.
The climate models, by contrast, got scores ranging from 2.4 to 3.7, indicating a total failure to provide valid forecast information at the regional level, even on long time scales. The authors commented: “This implies that the current [climate] models are ill-suited to localized decadal predictions, even though they are used as inputs for policymaking.”
Indeed. Nor is the problem confined just to a few models. In a 2010 paper, a co-author and I looked at how well an average formed from all 23 climate models used for the 2007 IPCC report did at explaining the spatial pattern of temperature trends on land after 1979, compared with a rival model that all the experts keep telling me should have no explanatory power at all: the regional pattern of socioeconomic growth. Any effects from those factors, I have been told many times, are removed from the climate data before it is published. And yet I keep finding the socioeconomic patterns do a very good job of explaining the patterns of temperature trends over land. In our 2010 paper we showed that the climate models, averaged together, do very poorly, while the socioeconomic data does quite well.
The computer models have to be able to predict changes in specific regions, otherwise we have no reason to trust that they are accurate. We have to be able to evaluate whether the models work by testing them. When we can test them to predict climate change in specific regions, they fail.
WINTERY KNIGHT 