adobe illustrator download freeadobe acrobat apple downloadadobe download free premiereadobe premiere tryout 6 download cheap oem software download adobe flash player free adobe acrobat flash downloadadobe 6 download free premier adobe free download kaufen Buy cheap software download adobe acrobat 8 fulldownload adobe photoshop brushesdownload adobe after effects 7 order Download OEM Software

Warning: Cannot modify header information - headers already sent by (output started at /home/carectomy/public_html/wp-config.php:77) in /home/carectomy/public_html/wp-includes/feed-rss2-comments.php on line 8
Comments on: Hydrogen Powered Train for Ontario http://www.carectomy.com/hydrogen-powered-train-for-ontario/ Thu, 17 Dec 2009 15:28:05 -0500 http://wordpress.org/?v=abc hourly 1 By: saxsux http://www.carectomy.com/hydrogen-powered-train-for-ontario/comment-page-1/#comment-185 saxsux Tue, 30 Nov 1999 00:00:00 +0000 #comment-185 Just because there's a correlation, it doesn't necessarily mean there's a fact; I could draw a graph of pirates against global temperatures, and use it to "prove" that a decline in the pirate population is the cause of global warming. Having said that though, I agree with what you've said. Keep up the good work! :) Just because there’s a correlation, it doesn’t necessarily mean there’s a fact; I could draw a graph of pirates against global temperatures, and use it to “prove” that a decline in the pirate population is the cause of global warming.
Having said that though, I agree with what you’ve said. Keep up the good work! :)

]]>
By: Stephen http://www.carectomy.com/hydrogen-powered-train-for-ontario/comment-page-1/#comment-188 Stephen Tue, 30 Nov 1999 00:00:00 +0000 #comment-188 The relationship is linear, you're just looking at the data wrong. Look at it as % walk, cycle, public transport vs. %obesity: [img]http://theheards.org/stephen/images/obesity.png[/img] and you can linearly graph the data with a R-squared value of 77%, which is really good for real world data. The relationship is linear, you’re just looking at the data wrong. Look at it as % walk, cycle, public transport vs. %obesity:
[img]http://theheards.org/stephen/images/obesity.png[/img]
and you can linearly graph the data with a R-squared value of 77%, which is really good for real world data.

]]>
By: njh http://www.carectomy.com/hydrogen-powered-train-for-ontario/comment-page-1/#comment-619 njh Tue, 30 Nov 1999 00:00:00 +0000 #comment-619 You could equally conclude that obesity causes people to not walk as far (which certainly seems more plausible :). But I agree with the conclusion (obviously for other reasons), that the most effective diet plan is to sell your car. The way to test causation is to introduce 'interventions', whereby you change the believed cause and see whether it has an effect. So, for example, if you can find a city where people have switched from cars to PT/bikes in a short period of time and show that health has improved, you could make a stronger claim, or alternatively, a plce where health went down the tubes as a result of a large mode-shift away from PT. I do not know of any strong examples of the former, but perhaps shanghai is a good example of the latter? Even better if you have a comparable experiment in the opposite direction: a place where obesity increased for other reasons, and a mode shift occurred. Perhaps Samoans, whose weight is a sign of social standing (sitting?) have changed their mode in the last 100 years, but not had a change in average BMI. You could equally conclude that obesity causes people to not walk as far (which certainly seems more plausible :) . But I agree with the conclusion (obviously for other reasons), that the most effective diet plan is to sell your car.

The way to test causation is to introduce ‘interventions’, whereby you change the believed cause and see whether it has an effect. So, for example, if you can find a city where people have switched from cars to PT/bikes in a short period of time and show that health has improved, you could make a stronger claim, or alternatively, a plce where health went down the tubes as a result of a large mode-shift away from PT. I do not know of any strong examples of the former, but perhaps shanghai is a good example of the latter?

Even better if you have a comparable experiment in the opposite direction: a place where obesity increased for other reasons, and a mode shift occurred. Perhaps Samoans, whose weight is a sign of social standing (sitting?) have changed their mode in the last 100 years, but not had a change in average BMI.

]]>