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All these stories share an unpredictable catastrophe and a supernatural explanation, the understanding of which will prevent further catastrophe from happening. In most cases, there is some god which needs to be pleased by good ebhavior in order to prevent death. In other words, priests, shamans and other religious leaders have used unpredictable death and destruction very early on to police the behavior of their populace. The origins of such religiosity are easy enough to spot. There are probably a number of factors, but I'll focus on what I find are the most important three. The first one is that we cannot think outside of causality. Everything needs to have a cause, even things where we cannot find a cause. The demand for causes is so strong that we invent them if we can't find them. Deriving from that is our uncanny ability to construct what is called a theory of mind. We infer other's intentions from their actions, facial expressions and the like. It is well studied that this search for intentions is so strong that we even attribute intentions and emotions to inanimate objects. So the myths explain an unpredictable event with intentions of supernatural beings. This all makes a lot of sense. After all, this is what we evolved to do: being smarter than our competitors and knowing what they're up to. The third and final point is what rounds the story off, though. Almost all of these myths contain some sort of moral imperative: if you behave, these bad things won't happen to you. They express our strong desire to be able to control our fate, to know what is going to happen to us and to be able to behave in a certain way to make sure everything will be fine. Much as a rain-dance is performed to stop the draught or a prayer to cure cancer or going to church to be elected US president, these myths are part of a psychological crutch that developed in order to keep people from developing "learned helplessness" in the face of uncontrollable events (i.e., depression). Maybe not surprisingly, religious people are less likely to develop symptoms of depression.
This is all not new, and several other people have also recognized these mechanisms. But the geomythology added a somewhat new and even more general angle to the whole "religiosiy as an operant" story, so I thought it was ok to repeat myself a little.

A new Internet database lets users generate on-the-fly citation statistics of published research papers for free. The tool also calculates papers' impact factors using a new algorithm similar to PageRank, the algorithm Google uses to rank web pages. The open-access database is collaborating with Elsevier, the giant Amsterdam-based science publisher, and its underlying data come from Scopus, a subscription abstracts database created by Elsevier in 2004.
With Thomson Scientific charging significant money for its services, th new free service "ScImago Journal Rank" (SJR) couldn't have come a worse time for the embatteled company. Will Thomson survive the double-hitter? Or will everyone now rank their favorite journals according to the SJR? Time will tell and for now I'm very pleased to finally see some competition in this critical area.
However, as usual, one should take such otherwise good news with some caution. To me, it is not clear, yet, how transparent the new database is. Also, given that Elsevier is behind the enterprise, one may be inclined wonder if the service will remain free of charge after it's well-adopted (if it ever is). Dealers only provide the first fix for free and the science community sure is addictd to journal rankings...
Posted on Thursday 03 January 2008 - 18:34:56 comment: 1
| Thomson Scientific impact factor citation statistics citation metrics ScImage journal ranking butler |
Posted on Monday 31 December 2007 - 16:06:14 comment: 1
| PLoS WissKomm SciVee open access interview media |
Posted on Friday 21 December 2007 - 14:00:26 comment: 1
| media magazine free will natur+cosmos spontaneous activity drosophila |
Posted on Friday 21 December 2007 - 13:39:47 comment: 0
| PLoS WissKomm SciVee open access interview media |
What is the impact factor?
For the uninitiated, the impact factor is a number scientists have to buy from a monopolist company, Thomson Scientific (formerly the Institute for Scientific Information, ISI). The company claims that the number is an objective measure for the scientific impact of articles published in scholarly journals. With more than 20,000 such journals, university administrators are understandably happy to be able to use these numbers and average them, instead of actually having to read and understand any scientific publications when considering candidates for a faculty position, tenure or a promotion. In this way, every scientist gets one number and you don’t really have to work too hard to rank them according to their impact, without knowing anything else about them. With so many journals to choose from, scientists themselves are very keen on these numbers as they help deciding in which of these journals they should publish their work to have the most impact. Grant review panels are also happy that the impact factor exists, because they can use it to assess the value of previous work on this topic, without having to read it at all. Obviously, everybody is happy that Thomson Scientific is doing all this heroic work. And of course they should charge for this service, there ain’t no such thing as a free lunch, right?
How is the impact factor calculated?
The following is an example (modified from this excellent source) of how Thomson Scientific would calculate Journal X’s impact factor for 2007:
- Citations in 2007 (only in journals indexed by Thomson Scientific) to all articles published by Journal X in 2005–2006
- divided by the number of articles deemed to be “citable” by Thomson Scientific that were published in Journal X in 2005–2006
What’s wrong with the impact factor?
The concept has so many flaws, I can’t list all of them. It has come under increasing criticism in recent years. For a quick overview you only need to read three short articles: the JCB article, a PLoS Medicine editorial and an article by the Chronicle of Higher Education. I’ll only emphasize three main points:
- The trickle-down journal pyramid. Everybody now is pressured to publish in the few high-impact journals (most journals have an impact factor below 1, Nature and Science for example are around 30). This leads to the editors in these journals having to reject most of the submitted manuscripts before real scientists have even had a look at them. And then you just submit your manuscript to the next "lower" journal and so on. Once the editor likes your manuscript, your chances of publication there have gone from below 10% to over 60% (in the case of Nature). In other words, you write the manuscript for the editor, not for other scientists (and I know I have published in these journals and did not particularly like the experience). For most papers, only once you come down to the "low-impact journals" does the reguler peer-review start. One could say that if your science is simple and sexy enough for a journal editor to become interested and understand the idea behind it, you have a decent chance of publishing it in one of the high-impact "vanity" journals. Conversely, journal editors get all the incentives to find ways to increase the impact factor of their journals, which leads me to
- The denominator of the impact factor equation is negotiable with the monopoly company. New journals such as PLoS Medicine have reported their negotiation skills to account for an impact factor spread from less than 3 to 11. The Cell-Press journal Current Biology is reported to have had an impact factor of 7.00 in 2002 and 11.91 in 2003. The denominator somehow dropped from 1032 in 2002 to 634 in 2003, even though the overall number of articles published in the journal increased. I wonder what sorts of negotiations were necessary for this improvement. Nobody knows, which leads me to
- Until this paper now in JCB, nobody was able to verify the calculations made by Thomson Scientific, it was a completely opaque process. As with voting machines in politics, if a community is crucially dependent on a given process, this process better be of outmost transparency or the trust in this process will break down rapidly.
The new JCB article (actually an editorial) appeared three days ago and is a giant leap ahead in the process of reforming the way science is evaluated. The authors have bought subsets of Thomson Scientific databases and tested them for accuracy. It turned out that the numbers published by Thomson Scientific deciding grants, positions and therefore livelihoods cannot be backed up by the data. When alerted to this discrepancy, Thomson Scientific responded by sending a new database which was supposed to be the one from which the commercially available, published figures had been calculated. Even this database did not yield the published impact factors. The authors (all editors of journals by Rockefeller University Press) called a monopolist’s bluff and won. This is a huge step towards breaking the monopoly which directly harms a lot of people’s lives as compared to only “stifling innovation” as our most beloved monopolist, Microsoft, has been convicted for. As the authors put it:
“If an author is unable to produce original data to verify a figure in one of our papers, we revoke the acceptance of the paper. We hope this account will convince some scientists and funding organizations to revoke their acceptance of impact factors as an accurate representation of the quality —or impact— of a paper published in a given journal. Just as scientists would not accept the findings in a scientific paper without seeing the primary data, so should they not rely on Thomson Scientific's impact factor, which is based on hidden data.”
At the end, a word of caution: The agreement with Thomson Scientific prevented the authors from releasing their data for public scrutiny. Hence, there also was no big point in publishing the methods by which they assessed the validity of Thomson’s published impact factors. What is required now is an independent audit of the data and a transparent, public analysis of the hidden data and processes leading to the published impact factors. If Thomson Scientific fails to provide such an open account of their practices, they have no business in providing any services for the scientific community.I've found four other blogs covering the JCB article (The Medium is the Message, The Krafty Librarian, Open Access News and Open Acces Archevangelism).
Posted on Thursday 20 December 2007 - 10:21:58 comment: 1
| Thomson Scientific impact factor citation statistics citation metrics journal ranking |

Maybe a little more surprising are the findings reported in a nice little paper in Current Biology (MSNBC news report). Biologists from the University of Exeter in the UK have looked at how another trait is inherited by sons from their fathers: their success with females. And because the fruit fly Drosophila is such a great model for heredty, thats the system they studied. In the fruit fly, the female can prevent forceful mating from the male. It is the time it takes for a male to copulate with a female after courtship has started which can serve as a measure for attractiveness in male Drosophila. The researchers found that the time it takes males flies to copulate is highly correlated with the time it takes their sons to copulate, indicating that the sons inherited the attractiveness of their fathers.
What I found most interesting about this study, though, is that it contradicts earlier experiments in a closely related fruit fly species. The researchers here had used D. simulans for their experiments, while previous work using D. melanogaster failed to reveal such a heritabilty of attractiveness. On the contrary, this paper found that male fitness (which does not equal attractiveness, but I'd assume the two to be correlated) is not inherited by sons.
Posted on Friday 14 December 2007 - 14:12:40 comment: 0
| heritability attractiveness Drosophila evolution |
If then one such intermediate is found (as is often enough the case, a prominent recent one being Tiktaalik), it obviously doesn't close the gap, but creates two new ones where before there was only one! So the more fossils we find, the more gaps we create - according to some creationists.
Recently there has been one more increase in the number of such gaps in the fossil record. One prominent of these traits which are deemed "irreducibly complex" (however that complexity is supposed to be quantified escapes me) is the eye (therefore the logo of the brembs.net evolution section). Australian paleontologists have just published a paper in "Biology Letters" where they describe not just one but a group of fossils closing... errr, I mean splitting yet another gap. They found fossils of 400-million-year-old Devonian placoderms – jawed ancestors of modern fish. Unlike modern vertebrates, the placoderm fossils had a different arrangement of muscles and nerves supporting the eyeball, evidence of an intermediate stage in the evolution between jawless and jawed vertebrates.
Check the whole story out in the various news reports (PhysOrg, Brisbane Times, 9msn, The Australian) or better yet, read the peer-reviewed orginal journal article.
Posted on Thursday 13 December 2007 - 15:17:07 comment: 1
| evolution intermediates creationism intelligent design fossils placoderms |
This is the image of an ice core drilled in the Greenland Ice. It shows a meter of ice from between 1837-1838m deep. If you count, you can see about 38 stripes. Because this core was drilled from a place where the sun only comes above the horizon for one half of the year, the snow deposited differs between each half-year. The sunlight in the arctic summer changes the structure of the snow flakes and this is what you see as white bands. The dark bands are winter bands where the snow flakes are not changed by light. It doesn't take a math genius to figure out that if you see such neat stripes at a depth of 1800m, then it's pretty clear that you will be able to discern way more than the supposed 6000 stripes predicted by young earth creationists. In order to get the facts to match their faith, they need to postulate that somehow, when nobody was looking, some sneaky little bastard changed the way snow is deposited so that you see more than just annual stripes.
If you start comparing these layers with some other layering techniques such as counting tree rings, sediment layers on land and on the sea floor or coral cores, you can actually cross-reference them with each other very well. And guess what - if you now use the various dating methods, you get pretty good correspondence between all of them. If you compare all this data against known volcano eruptions, you again get a match. If you compare all these multitudes of data with the various astronomical cycles in our planet's orbit (eccentricity, obliquity and precession), you again can match the data sets up consistently. From some layering methods you even get to see that the year had fewer days a few million years ago, because earth was spinning faster back then.
On a related note, young earth creationists of course have a hard time explaining how we can exist with all of the observable universe being no more than 6000 lightyears away. Usually, they need to claim some sort of weird, unexplained phenomenon which runs counter to relativity. However, we need relativistic calculations to keep GPS working as accurately as it does. So young earth creationists should not use GPS systems, because they must be the devil's work!

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