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by Svetlana Sicular  |  July 9, 2012  |  Comments Off on Pseudo-Tweets

“Never odd or even”  —  palindromes draw respect when they carry at least some spark of meaning; you’ll even read them twice. Some time ago, a good friend of mine came up with the idea of pseudo-palindromes  (the same abrupt absurd and worthlessness), but you’ll read them twice anyway:  “Eat timely Nathan. Want tea? ”

Tweets are akin to palindromes because of the challenge of cramming some significance within the predefined frames:  “RT @Oldjx re: #word #worms  in #bigdictionary: Lol! R U 2? So is @7H1NKER”

I am just a beginning twitterer. To catch up for my lost time and under-enjoyed challenges of brevity, I made up some pseudo-tweets —  messages outside of Twitter that look like tweets but not exactly.

  • There is an 87% #probability that you are within 22 miles from your %home.
  • 60% of bankruptcies are due to #health issues. #statistics #Strata
  • No wonder Spain have the best team in the world. Each Spanish man seems to produce about 10 children. #probability #Spain
  • More than 25% divorce proceedings use #data from
  • Through #2015, 85% of Fortune $500 organizations will be unable to exploit #bigdata for competitive advantage. #GartnerPredicts
  • #nytimes and the @Washington @Post describe people who weren’t using social networks and weren’t using mobile phones as “refuseniks.” #without #phones #G00174167

Your ex-refusenik,


P.S. There is one real tweet here. Hint: it contains a mistake.

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Category: data-and-analytics-strategies  data-paprazzi  innovation  inquire-within  local-news  

Tags: analysis  analytics  big-data  data  data-paprazzi  gartner-predicts  health  innovation  odd  phones  probability  pseudo-tweets  refuseniks  social  statistics  twitter  

Svetlana Sicular
Research VP
6 years at Gartner
23 years IT industry

Svetlana Sicular is passionate about bringing analytics to domain experts and helping organizations successfully compete by applying their business acumen in analytics and data science. She is convinced that domain expertise and high-value data are the greatest assets that companies should monetize in new analytics applications. Read Full Bio

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