Chapter 11: Weighted Voting Systems

Slides:



Advertisements
Similar presentations
Chapter 11: Weighted Voting Systems Lesson Plan
Advertisements

Chapter 2: Weighted Voting Systems
Weighted Voting, Algorithms and Voting Power
MAT 105 Spring  In many voting systems, the voters are not treated equally  Juries: If one voter votes “not guilty,” then the result is “not guilty”
Weighted Voting When we try to make collective decisions, it is only natural to consider how things are done in society. We are familiar with voting for.
Chapter 11: Weighted Voting Systems Lesson Plan
Presented by: Katherine Goulde
Math for Liberal Studies.  In many voting systems, the voters are not treated equally  Juries: If one voter votes “not guilty,” then the result is “not.
DM.8. Is a set of numbers that are listed in the following format: [ quota: weight of voter 1, weight of voter 2,…weight of voter 3] Ex: [8:5,4,3,2]
Amending the Constitution
Excursions in Modern Mathematics Sixth Edition
The Electoral College Who? What? Why? Problems? Why Giving the power to Congress would destroy the separation of powers. Most of the Constitutional Delegates.
Homework Discussion Read Pages 48 – 62 Page 72: 1 – 4, 6 TEST 1 ON THURSDAY FEBRUARY 8 –The test will cover sections 1.1 – 1.6, and 2.1 – 2.3 in the textbook.
Chapter 13: Weighted Voting Banzhaf Power Index Shapley-Shubik Power Index Equivalent Systems Examples.
Weighted Voting Systems Brian Carrico. What is a weighted voting system?  A weighted voting system is a decision making procedure in which the participants.
The Mathematics of the Electoral College E. Arthur Robinson, Jr. (with Daniel Ullman) Dec 1, 2010.
The Executive Branch. The President President is the head of the Executive Branch – Many call the President the most powerful person in the world ONLY.
Political Participation Chapter 4. Woman’s Suffrage ’s birthed out of the abolition movement : Legislation narrowly failed to approve suffrage.
The Electoral College Chapter 23 Section 3.
The Electoral College System.  Fear of Congressional Election- why?  Fear of Direct Popular Vote- why?
Math for Liberal Studies.  We want to measure the influence each voter has  As we have seen, the number of votes you have doesn’t always reflect how.
Weighted Voting Systems
Chapter 7 Vocabulary. constitution Document that sets out the laws and principles of a government.
Chapter 11. Weighted Voting Systems  Goals Study weighted voting systems ○ Coalitions ○ Dummies and dictators ○ Veto power Study the Banzhaf power index.
Weighted Voting Systems Chapter 2 Objective: Calculate the Banzhaf power Index for a weighted voting system. Learn additional notation and terminology.
Fairness Criteria Fairness Criteria: properties we expect a good voting system to satisfy.Fairness Criteria: properties we expect a good voting system.
Weighted Voting Systems Chapter 2 Objective: Recognize the notation for weighted voting system and be able to define quota, player, dictator, dummy and.
Dr. Roger Ward. Would you support a constitutional amendment that seeks to limit the size and influence of the federal government by returning power and.
EXCURSIONS IN MODERN MATHEMATICS SIXTH EDITION Peter Tannenbaum 1.
The Bill of Rights. The Amendments The Constitution is the backbone of the country and our government. The Constitution is a living document that, through.
Voting: Does the Majority Always Rule?
The Banzhaf Power Index
More Constitutional Principles
Excursions in Modern Mathematics Sixth Edition
Chapter 11: Weighted Voting Systems Lesson Plan
Formal Amendment Chapter 3-2.
Chapter 11.
The Real Way We Elect Our President
Chapter 9: Campaigns and Elections The Rules of the Game
Elections.
Excursions in Modern Mathematics Sixth Edition
“Elections”.
3 Branches of Government
Elections with More Than Two Candidates
Electing the President
Warm Up – 5/27 - Monday How many people voted in the election?
The Electoral College.
The Constitution A More Perfect Union.
Party Conventions Nominate party presidential candidates
ELECTING A PRESIDENT.
More Constitutional Principles
Magruder’s American Government
Elections.
Chapter 10 Elections.
Unit 5 - Elections.
Electoral College.
Elections and Voting Behavior
Chapter 11: Weighted Voting Systems Lesson Plan
The Presidency.
The Banzhaf Power Index
How the Electoral College Works STEPS TO BECOMING A PRESIDENT
Homework #4 pages
How is the President Elected?
Electing the President
The Electoral College and the Election of 1800
The Constitution A Living Document.
The Electoral College Chapter 23 Section 3.
The Presidents Roles 1. Chief of State 2. Chief Executive
“Voting and Elections”
House of Representatives vs. The Senate
Presentation transcript:

Chapter 11: Weighted Voting Systems MAT 105 Fall 2008 Chapter 11: Weighted Voting Systems

Unequal Voters In many voting systems, the voters are not treated equally Juries: If one voter votes “not guilty,” then the result is “not guilty” Stockholders: If you have more shares of stock, then your vote is weighted more heavily US Electoral College: Larger states get more votes European Union: Larger member countries get more votes

Weighted Voting Systems Each participant has a specified number of votes, called his or her weight For simplicity, we will assume all elections are “yes” or “no” There is a criterion for determining whether “yes” or “no” wins: the quota

Examples of Quotas To pass a bill in the House of Representatives, you just need a majority of the votes to be “yes” There are 435 total votes, so the quota is 218 To amend the US Constitution, 3/4 of the states must ratify the amendment There are 50 states, so the quota is 38

The Electoral College In US Presidential elections, plurality elections are held in each state The candidate winning each state sends electors to vote for him or her in the Electoral College The number of electors per state depends on the size of the state: bigger states have more electors

2008 Electoral Map

Notation When we talk about weighted voting systems, we use a compact notation to list the quota together with the various weights [q; a, b, c, …] q is the quota a, b, c, etc. are the weights So the electoral college system would be written [270; 55, 34, 31, 27, 21, 21, etc.]

Terminology As we said before, to simplify things, our elections will always be deciding “yes” versus “no” This isn’t so unreasonable, since the most common place to find weighted voting systems is in legislatures or other government bodies We say that the voters cast their votes “in favor” or “against” a motion by voting yes or no

Properties of Weighted Voting Systems: Dictators A dictator is a voter with all the power: a motion will pass only if the dictator votes in favor, and it doesn’t matter how the other participants vote [51; 60, 40] In this system, the weight-60 voter is a dictator [20; 15, 10, 5] In this system, none of the voters is a dictator

Properties of Weighted Voting Systems: Dummy Voters A dummy voter is a voter whose vote does not matter. When voters form a coalition to vote in favor or against a motion, the dummy voter can be removed from the coalition without changing the result [51; 26, 26, 26, 22] The voter with weight 22 is not needed to win when two others combine to support a motion, and she does not have enough weight to pass a motion with only one other

Properties of Weighted Voting Systems: Veto Power A voter whose vote is necessary to pass any motion is said to have veto power [21; 20, 15, 5] The voter with weight 20 has veto power: if that voter votes “no,” then the motion cannot pass Jury: [12; 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] Since all 12 voters must vote in favor to pass the motion, each voter has veto power

More Examples [8; 5, 3, 1] None of the voters is a dictator The weight-1 voter is a dummy voter The weight-5 and weight-3 voters have veto power [9; 5, 3, 1] Motions can only pass unanimously: none of the voters is a dictator, there are no dummies, and all of the voters have veto power

More Examples [6; 5, 3, 1] None of the voters is a dictator None of the voters is a dummy The weight-5 voter has veto power [51; 49, 48, 3] None of the voters has veto power

Looking Closer Consider the system [51; 49, 48, 3] Even though the third participant only has a weight of 3, it has the same “power” as the other two Any two of the three participants can combine to pass a motion, and none of the three can pass a motion alone

Looking Closer In the system [51; 26, 26, 26, 22], the fourth participant has almost as much weight as the other three, but is a dummy voter Dummies have no power to influence elections one way or the other

Measuring Power We have seen that the power a voter wields is not necessarily directly related to the weight of the voter We will want to measure the power of each voter, keeping in mind that: dictators have all the power; when one voter is a dictator, all other voters are dummies dummies have zero power