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Posted
i think they are all good but please post links to your favourites if you like tongue.gif

 

well anything with corny canadian spelling for one ...

Posted

scientifically

 

19523 posts

reg'd 02/08/01

currently 06/14/04

 

that is (365+365+365+127) days =1222 days

 

19523/1222 = 15.98 or call it 16 posts per day on average

 

so now 20,000-19,523 = 477 posts to go

477/16= 29 and 13/16ths

 

so i will make my 20, 000th post 29.8125 days from now. that will be july 14th. assuming 2 posts/hr over an 8 hr day, july 14th at 2:30 PM.

 

the miracle of science Geek_em8.gif

Posted
scientifically

 

I expect a 95% confidence interval to be included to qualify any estimation of t(20,000) along with a statistical justification for employing the method of raw average posting rate to arrive at this prediction. Geek_em8.gifGeek_em8.gifGeek_em8.gif

Posted
Science without data is religion and data without statistics is very poor artwork

 

well anyone with a grain of sense would actually see that my post count has steadily increased from like 1 a day back in feb '01 up to its current level so the actual curve is non linear thus producing a closer ETA than July 14 hahaha.gif

Posted

So....

 

Here we have a graph of Dru's last 1000 posts, the raw data for which was extracted from here:

 

http://www.cascadeclimbers.com/threadz/dosearch.php?Cat=0&Forum=All_Forums&Name=357&Searchpage=0&Limit=1000&

 

4525DruPosts.jpg

 

We can see that the over the past couple of months Dru's posting frequency has indeed been linear, with an R^2 value of 0.97 and a posting frequency of about 22 posts per day. This means that should his posting frequency maintain its linear trend, post 20,000 should occur in 21.4 days, or roughly on the morning of Tuesday, July 6th. This does not take into account the obviously visible anomalies in the data due to periods of diminished posting by Dru, presumably during weekends.

Posted

4525CrackedPosts.jpg

 

Here we observe that unlike Dru, Cracked posts much more uniformly, with a linearity that is more precise than even the R^2 value suggests (due to the uncharacteristic lull in posts near the beginning of the data set). Conclusion: Cracked needs to go climbing.

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