Testing The Data, How We Moved From #PardonFlynnNow to #ClearFlynnNow

Testing The Data, How We Moved From #PardonFlynnNow to #ClearFlynnNow

By Pat Scopelliti – @ThyConsigliori – and Kate Scopelliti | Foreward by @JoshuaMacias

To get your hashtag right, you must target the broadest number of people while hitting them with the greatest emotional impact. The thing is, if even the slightest nuance is off intellectually, the message will not cut straight to the heart.  For instance, in our current campaign which some of you have been following, the word “pardon” could ONLY entail an admission of guilt.  Many of General Flynn’s friends and supporters will not accept that admission.  And they do not care about his own admission of guilt one iota, as they are 100% certain he was coerced, using fraudulent, felonious evidence was used in pure and completely illegal entrapment.  These patriots will accept nothing less than a full vacating of the charge against him, and no substitution will be tolerated.

What we had to do was re-sight.  Any form of aiming is, in one way or another, always a type of triangulation.  Picture a rifle.  You must line up your eye, the properly aligned sight at the end of the barrel, and the target in front of you.  This is a triangle, which is the source of the word “triangulation”.

A powerful hashtag is also a perfect glass. It holds all the thoughts the user has on the topic, without logical contradiction or compromise.  In our case, the term “clear” is perfect. Calmly, coolly, yet with firmness and unflagging resolution, we may state our request in these simple terms:


A word of recognition must be given to three people. The first is Saul Montes-Bradley @Debradekai. He has done an amazing amount of work on General Flynn’s story, and he flat out contradicted me at every turn over the term “Pardon” and made his case with irresistible force. Second, Barbara Ledeen @BarbaraLedeen not only agreed with Saul, she also identified the new hashtag as spot on. The third is Davd C – @ingeniustech. It was he who explained the logic of how “Pardon” was wrong and gave the recommendation for “Clear” in its place. My respect and gratitude to you all.

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