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    e resulting graphs show the number of pages utilizing javascript for each ranking. The Y-axis shows the number of pages found utilizing javascript, while the X-axis shows rankings 1 through 8. Here ar
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    Almost all SEO's agree that using too much javascript can harm your rankings and might confuse the search engines. Is it true? We decided to answer this extremely simple question for the two leading search engines using a simple statistical analysis.

    The methodology: I gathered the results of the queries that were naturally performed last month by myself and three associates using the two leading search engines and analyzed them. I had to visit each page and check the HTML source code to see if javascript was being used. I counted the number of pages found that utilized javascript for the first 8 rankings. The results for each of the two leading search engines were kept separate so that we could discover any differences between the two leading search engines for this factor.

    The resulting graphs show the number of pages utilizing javascript for each ranking. The Y-axis shows the number of pages found utilizing javascript, while the X-axis shows rankings 1 through 8. Here ar

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    The methodology: I gathered the results of the queries that were naturally performed last month by myself and three associates using the two leading search engines and analyzed them. I had to visit each page and check the HTML source code to see if javascript was being used. I counted the number of pages found that utilized javascript for the first 8 rankings. The results for each of the two leading search engines were kept separate so that we could discover any differences between the two leading search engines for this factor.

    The resulting graphs show the number of pages utilizing javascript for each ranking. The Y-axis shows the number of pages found utilizing javascript, while the X-axis shows rankings 1 through 8. Here ar

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    ading search engines and analyzed them. I had to visit each page and check the HTML source code to see if javascript was being used. I counted the number of pages found that utilized javascript for the first 8 rankings. The results for each of the two leading search engines were kept separate so that we could discover any differences between the two leading search engines for this factor.

    The resulting graphs show the number of pages utilizing javascript for each ranking. The Y-axis shows the number of pages found utilizing javascript, while the X-axis shows rankings 1 through 8. Here ar

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    The resulting graphs show the number of pages utilizing javascript for each ranking. The Y-axis shows the number of pages found utilizing javascript, while the X-axis shows rankings 1 through 8. Here ar

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    e resulting graphs show the number of pages utilizing javascript for each ranking. The Y-axis shows the number of pages found utilizing javascript, while the X-axis shows rankings 1 through 8. Here are the graphs for each of the two leading search engines:

    http://www.SearchEngineGeek.com/graphs/dcy02.jpg

    http://www.SearchEngineGeek.com/graphs/dcg02.jpg

    The result is very conclusive and very surprising. Both leading search engines rank pages that utilize javascript higher than pages that do not utilize javascript. This is another example of how the guesses of the SEO community are often just that... guesses... They have a 50% chance of being correct on any particular factor. In this case, the majority of the SEO community guessed wrong.

    Notes:

    1. There was no exercise to attempt to isolate different keywor

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