To forecast and measure nonpartisanship
To narrate, rate, create, and curate public policy solutions on leaderboards
To be neutral to public and/or private sector solutions
To score and rank public policy solutions with a nonpartisan rating
To have an AI that can pre-rate all public policy solutions
To first find the best solutions that solve 80% of the problem in the shortest time
#1 We are neutral to public and/or private sector solutions
Passing a new law or trashing an old one is all the same to us.
#2 Talk public policy not public figures
No President Tyler this or President Buchanan that, you can find that on social media.
#3 We’re all on the same team
Good Key “Yes” reasons and good Key “No” reasons help make the puzzles believable and the scoring trustworthy. No ever-so-clever cherry-picking.
#4 Participate in policy huddles
Introverts should strive to share, and Extroverts should strive for restraint.
#5 EMIT helps find the signal in the noise
Consider the Four Key Reason Types: Emotions, Momentum, Interest, and Timespan, by referring to the Four Laws of Public Policy Formation.
#6 We’ll eventually score all solutions
But for now, score the solutions with the highest probable rank. When the AI is fully functional it will help by auto pre-scoring solutions. Each puzzle deserves respect.
#7 When in doubt about calling a role for or against—research the role
E.g. Part-time workers are 2/3rds under 25 and over 50, and 2/3 female. Does that help clarify the call? Is there existing polling data?
#8 Noisy Guests are interesting
When a role is difficult to call, we call those noisy guests, and working carefully through the EMIT model will usually yield a clear call. And the AI is a good second reliability filter.
#9 Each country's gameboard is a working model
While we seek continuous improvement, our gameboards need to be standardized like electrical sockets to be useful. We’ll review suggested improvements once a year, but only modify significant and substantive changes in roles. Keeping level playing fields is paramount.
#10 Compare forecasts to realities
Through polling, commentary, competing forecasts, mean reversion, wisdom of the crowds, candidates’ platforms we can measure how well the models are functioning.
:: :: ::
THE FOUR LAWS OF PUBLIC POLICY FORMATION
The First Law of Public Policy Formation is that people with short-term focus will naturally protect their wages, jobs, status, profits, and wealth. (Hopefully not with violence: Politics 1.0)
The Second Law of Public Policy Formation is that people with longer-term focus will naturally place bets to make life better, longer, easier, or different. (Politics 2.0 is usually the two -party system)
The Third Law of Public Policy Formation is that the conflict between short-term focus and long-term-focus naturally causes noise, angst, conflict, and harm. (Politics 3.0 is noise)
The Fourth Law of Public Policy Formation is that policy solutions can now be ranked with a standardized nonpartisan score derived from a level playing field. (Politics 4.0 finds the signal in the noise).
:: :: :: ::
You can play this week’s game at PolicyKeys.com
Congress’ approval rating is 21%, the Supreme Court’s is 40%, the media 27%, the average score of the policies on the PolicyKeys™ National Idea Leaderboard is 73%—Politics 4.0 is already a 2x to 3x better model of US political sentiment and direction than Politics (as usual) 3.0.
A new PolicyKeys™ Where Can We Agree? Puzzle every Monday at 6am Eastern at PolicyKeys.com. You can read more about PolicyKeys™ Where Can We Agree? in Politics 4.0 How Gamification, AI, and National Idea Leaderboards Can Help You Depolarize the World. The Observatory of Public Sector Innovation (OPSI) at the Organization for Economic Cooperation and Development (OECD) has recognized PolicyKeys™ for its innovative approach to consensus building.
Finding out where we can agree takes guts ::