Skip to main content

Love and hate - politically speaking

Timeline for James Comey.  There are two emotional threads.  Love and hate and then hate and love.

July 5, 2016.  Comey condemns Clinton for mishandling classified information.  But then say we will not indict.   Dems love it.  Reps hate it.

October 28, 2016.   Comey’s wait a minute moment.  We reopen the investigation, found new emails with classified info on Anthony Weiner’s laptop. Oops.  Reps love it. Dems hate it.

Interim.  Both sides generally disdain Comey basically because he seems beyond the control of anyone.  Reps hate Comey; Dems hate Comey.  Especially, Hillary hates Comey, blaming his “re-opening letter” as a primary cause for her loss.

May 9, 2017. Trump fires Comey.  Reps claim it was appropriate; Dems also, probably.  However, because Trump did the deed, Dems hate it; Reps love it. Even the Nixonian metaphor has been issued – within an hour of the termination letter!  But it’s OK since it was made by an aging Senator. 

“Never let a crisis go to waste,”  Rahm Emmanuel advises us.   On the one hand, “kill the king.” On the other, “rule of law.” 

It seems clear that both sides are secretly delighted that Comey is gone.  But is Hillary?  This makes her situation tenuous, and possibly available for another review. 

One interesting thing about Trump is that he may have a deeply considered plan, which allows bifurcated pathways to proceed.  It gives the pundits on both sides endless opportunities for conjecture.   They love it and hate it.

Truly, we are in the era of post-truth, where emotion reigns over analysis and logic.

(https://en.wikipedia.org/wiki/Post-truth_politics)

Comments

Popular posts from this blog

Behavioral Science and Problem-Solving

I.                                       I.                 Introduction.                Concerning our general behavior, it’s high about time we all had some understanding of how we operate on ourselves, and it is just as important how we are operated on by others. This is the wheelhouse of behavioral sciences. It is a vast subject. It touches our lives constantly. It’s influence is pervasive and can be so subtle we never notice it. Behavioral sciences profoundly affect our ability and success at problem-solving, from the elementary level to highly complex wicked problems. This is discussed in Section IV. We begin with the basics of behavioral sciences, Section II, and then through the lens of multiple categories and examples, Section III. II.     ...

The Lemming Instinct

  In certain vital domains, a pervasive mediocrity among practitioners can stifle genuine advancement. When the intellectual output of a field is predominantly average, it inevitably produces research of corresponding quality. Nevertheless, some of these ideas, by sheer chance or perhaps through effective dissemination, will inevitably gain traction. A significant number of scholars and researchers will gravitate towards these trends, contributing to and propagating further work along these established lines. Such a trajectory allows an initially flawed concept to ascend to the status of mainstream orthodoxy. However, over an extended period, these prevailing ideas invariably fail to withstand rigorous scrutiny; they are ultimately and conclusively disproven. The disheartening pattern then reveals itself: rather than genuine progress, an equally unvalidated or incorrect idea often supplants the discredited one, swiftly establishing its own dominance. This cycle perpetuates, ensurin...

THE ORIGINS OF IMPOSSIBLE PROBLEMS

The Origins of Impossible Problems Introduction. Impossible problems have always been a part of the landscape of human thought. They arise from various sources, often rooted in cognitive, logical, or structural limitations. Some problems are truly unsolvable due to fundamental constraints, while others only appear impossible because of human limitations in understanding, reasoning, or approach. In many situations, we make difficult problems impossible because of our limitations, psychological and otherwise. It is a curious thought problem to consider what sort of limitations AI will reveal when we give it truly difficult problems to solve. We must hope that we humans have not transferred our complete reliance and dependence to machine-learning tools beforehand. Below are key sources of seemingly impossible problems, along with examples and a few references to philosophical and scientific thought. Impossible Problems . To explore impossible problems, we must consider our systems fo...