@mrjyn
January 14, 2010
January 12, 2010
Pete Drake Gravesite For Those That Cry
lolitafeather 2 from end of lolita soundtracklolitafeather 2 from lolitafeather with working clip of lolita changed st to end of lolita soundtrack
Gump Feather Fight Contact 2:44 fromgump fight contact recut end of contact
contact st starts 244
first one (gump fight contact recut end of contact jerry lee lix) wast about 3:08 This #video of Dancing Girls at #carnival in Rio de Janeiro #AR is the ultimate #YouTube Skin Monitor - http://bit.ly/4ondUL less than 5 seconds ago from bit.ly "pete drake" roddis YouTube forever "talking steel guitar" grave gravesite tombstone nashville cemetery R.I.P. dead "george harrison" "ringo starr" beatles a-team studio "For Those That Cry" "roger miller" "lock stock and teardrop" session player emmons buddy nashco b tuning drop sho-bro shobro steel "pedal steel" talkbox "peter frampton" "merle kilgore" mrjyn whatgetsmehot yt:quality=high
Carnival YouTube
This #video of Dancing Girls at #carnival in Rio de Janeiro #AR is the ultimate #YouTube Skin Monitor - http://bit.ly/4ondUL less than 5 seconds ago from bit.ly
January 10, 2010
January 9, 2010
backstage doin fuck gary weird gonna midwestern memphis super irony stuff doug easley
Keywords are the words in your text that are far more frequent, proportionally, than they are in a general reference corpus (here, the Brown corpus, whose 1 million words comprise 500 texts of 2000 words on a broad range of topics - see Brown freqs).The number accompanying each word represents the number of times more frequent the word is in your text than it is in the Brown corpus. For example, the first item in the output 502.50 backstage is calculated on the basic that backstage has 2 natural occurrences in the Brown's 1 million words, but 2 occurrences in your 1991-word text. These 2 occurrences are proportionally a lot more than the 2 occurrences in the Brown. Taken as a proportion of 1,000,000 words, these 2 occurrences represent 2/1991 x 1,000,000 = 1005 virtual occurrences. These 1005 occurrences are 502.50 times more numerous than the 2 occurrences in Brown. The keyword list below contains all the words in your text that are at least 10 times'key' a word is likely to be to your input text. more numerous in your text than in the Brown reference corpus (the "keyness factor."). The greater the keyness factor, the more
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See Ya At 'What Gets Me Hot'
*Please subscribe in your preferred Feed Reader at Feedburner What Gets Me Hot or through Google FriendFeed at WHAT GETS ME HOT See Ya At 'WGMH' (nee Mr. Dante Fontana's Visual Guidance Ltd., cum [::], and penultimately named, What Gets Me Hot, is now directing traffic as See Ya At 'What Gets Me Hot' to the Newly Domained Blogspot What Gets Me Hot. It originated in 2006 as the video-only depository of PCL Linkdump, shifting formats and owners on Halloween, 2008 when The Perfect American (me) abandoned his objectionable Titanic for more search-friendly vessels. As of Halloween, 2009 it has been re-statused into a Post and Video Archive/Referrer for What Gets Me Hot. I encourage old subscribers to resubscribe at the new address, and I hope that new readers, who have landed somehow on its fallow but welcoming address, will now take the time to visit the fully searchable and regularly posting: What Gets Me Hot . Thank you for visiting See Ya At 'What Gets Me Hot'. I hope to see ya at What Gets Me Hot.