Power for analytics

  • Hardwired for Story, not for data or patterns
  • Humans are good at communications
  • data is consumed by another person as stories
  • Think as an opportunity to present data as a story
  • Data should have soul, we have to find the soul through data analysis
  • Inference has been drawn, we reinforce the stories
  • exacerbate 
  • Stereotypes reduce cognitive load
  • Stereotypes in public policy are never good
  • First step is awareness
  • Philharmonic Orchestras, Repertories eco-system
  • Chicago Philharmonic-Policy, x or the intervention, to put in a screen between the performer and the judges, during women's movement
  • It was path dependent
  • glass ceiling
  • Counterfactuals? Viena philharmonic to adopt women participant, says system as meritocratic
  • Subliminal or embedded

Hans Rosling>>
  • Awareness level, test, confidence interval
  • Problem is not ignorance, but reconvinced ideas
  • Data is often better than you think... there is an uncertainty margin
  • Using avg is dangerous
  • Everything is in Africa
  • All that information we saw changing in the world does not include publicly funded statistics
  • Animate liberate search for public funded databases
  • income distributions in a new way
  • Visualizations for hypothesis generations
  • Our view of Business as usual will be wrong: numbers in a light that do not represent either the reality or the trend 
  • Public policy should not be this Place of doom and gloom
  • So when we bring stories to data, we have to bring the right stories
  • Thin about the stories that we are telling from the analysis of data
  • The stories should reflect the real world. It cannot be a single story. In public policy that will be  a mistake. And that has been a mistake.



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