The document discusses the "pancake flipping problem" which involves rearranging a stack of pancakes of different sizes into a pyramidal stack with the fewest number of flips using a spatula. It presents this problem as analogous to problems in formal mathematics and biology, establishes that solving it is NP-complete, and provides details on known bounds and efficient flipping strategies as well as proposed "gadgets" to model the problem through a reduction from 3-SAT.
The document discusses comparing genomes through permutations. It begins by introducing genomes and how they can be represented as signed permutations if they only differ by gene order. It then discusses two main ways of comparing genomes: by identifying common segments and by measuring evolutionary distances. The remainder of the talk will overview problems related to comparing signed and unsigned permutations, counting problems, reconstructing evolution, and open questions.
The document discusses various topics related to sorting networks and their connections to mathematical structures:
1) It describes primitive sorting networks and their representation as pseudoline arrangements, along with properties of the contact graph and the graph of possible flips between arrangements.
2) It discusses relationships between point sets, minimal sorting networks, and oriented matroids.
3) It covers triangulations, their representation as alternating sorting networks and pseudoline arrangements, and how the brick polytope of these networks gives associahedra.
4) Other topics mentioned include pseudotriangulations, multitriangulations, and how duplicated networks relate to permutahedra.
Jean Cardinal (Computer Science Department, Université Libre de Bruxelles)
Sorting and a Tale of Two Polytopes
Algorithms & Permutations 2012, Paris.
http://igm.univ-mlv.fr/AlgoB/algoperm2012/
The document discusses the "pancake flipping problem" which involves rearranging a stack of pancakes of different sizes into a pyramidal stack with the fewest number of flips using a spatula. It presents this problem as analogous to problems in formal mathematics and biology, establishes that solving it is NP-complete, and provides details on known bounds and efficient flipping strategies as well as proposed "gadgets" to model the problem through a reduction from 3-SAT.
The document discusses comparing genomes through permutations. It begins by introducing genomes and how they can be represented as signed permutations if they only differ by gene order. It then discusses two main ways of comparing genomes: by identifying common segments and by measuring evolutionary distances. The remainder of the talk will overview problems related to comparing signed and unsigned permutations, counting problems, reconstructing evolution, and open questions.
The document discusses various topics related to sorting networks and their connections to mathematical structures:
1) It describes primitive sorting networks and their representation as pseudoline arrangements, along with properties of the contact graph and the graph of possible flips between arrangements.
2) It discusses relationships between point sets, minimal sorting networks, and oriented matroids.
3) It covers triangulations, their representation as alternating sorting networks and pseudoline arrangements, and how the brick polytope of these networks gives associahedra.
4) Other topics mentioned include pseudotriangulations, multitriangulations, and how duplicated networks relate to permutahedra.
Jean Cardinal (Computer Science Department, Université Libre de Bruxelles)
Sorting and a Tale of Two Polytopes
Algorithms & Permutations 2012, Paris.
http://igm.univ-mlv.fr/AlgoB/algoperm2012/
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)contently
This document provides an overview of content methodology best practices. It defines content methodology as establishing objectives, KPIs, and a culture of continuous learning and iteration. An effective methodology focuses on connecting with audiences, creating optimal content, and optimizing processes. It also discusses why a methodology is needed due to the competitive landscape, proliferation of channels, and opportunities for improvement. Components of an effective methodology include defining objectives and KPIs, audience analysis, identifying opportunities, and evaluating resources. The document concludes with recommendations around creating a content plan, testing and optimizing content over 90 days.
How to Prepare For a Successful Job Search for 2024Albert Qian
The document provides guidance on preparing a job search for 2024. It discusses the state of the job market, focusing on growth in AI and healthcare but also continued layoffs. It recommends figuring out what you want to do by researching interests and skills, then conducting informational interviews. The job search should involve building a personal brand on LinkedIn, actively applying to jobs, tailoring resumes and interviews, maintaining job hunting as a habit, and continuing self-improvement. Once hired, the document advises setting new goals and keeping skills and networking active in case of future opportunities.
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
- The latest trends in AI and automation, and what this means for an evolving paid search ecosystem.
- New developments in privacy and data regulation.
- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
5 Public speaking tips from TED - Visualized summarySpeakerHub
From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world.
With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage.
Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience.
See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world.
Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance.
For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age.
Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.
The document provides career advice for getting into the tech field, including:
- Doing projects and internships in college to build a portfolio.
- Learning about different roles and technologies through industry research.
- Contributing to open source projects to build experience and network.
- Developing a personal brand through a website and social media presence.
- Networking through events, communities, and finding a mentor.
- Practicing interviews through mock interviews and whiteboarding coding questions.
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
1. Core updates from Google periodically change how its algorithms assess and rank websites and pages. This can impact rankings through shifts in user intent, site quality issues being caught up to, world events influencing queries, and overhauls to search like the E-A-T framework.
2. There are many possible user intents beyond just transactional, navigational and informational. Identifying intent shifts is important during core updates. Sites may need to optimize for new intents through different content types and sections.
3. Responding effectively to core updates requires analyzing "before and after" data to understand changes, identifying new intents or page types, and ensuring content matches appropriate intents across video, images, knowledge graphs and more.
A brief introduction to DataScience with explaining of the concepts, algorithms, machine learning, supervised and unsupervised learning, clustering, statistics, data preprocessing, real-world applications etc.
It's part of a Data Science Corner Campaign where I will be discussing the fundamentals of DataScience, AIML, Statistics etc.
Time Management & Productivity - Best PracticesVit Horky
Here's my presentation on by proven best practices how to manage your work time effectively and how to improve your productivity. It includes practical tips and how to use tools such as Slack, Google Apps, Hubspot, Google Calendar, Gmail and others.
The six step guide to practical project managementMindGenius
The six step guide to practical project management
If you think managing projects is too difficult, think again.
We’ve stripped back project management processes to the
basics – to make it quicker and easier, without sacrificing
the vital ingredients for success.
“If you’re looking for some real-world guidance, then The Six Step Guide to Practical Project Management will help.”
Dr Andrew Makar, Tactical Project Management
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
AlgoPerm2012 - 01 Rida Laraki
1. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Majority Judgement
Measuring, Ranking and Electing
Rida Laraki
École Polytechnique and CNRS, Paris
(Joint work with Michel Balinski)
Algorithms and Permutations, February 20, 2012
Rida Laraki Majority Judgement
2. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Contents
1 Traditional Methods and results
2 Incompatibility Between Electing and Ranking
3 Majority Judgement: Two Applications
Wine competitions
Presidential Elections
4 New Model and Theory of Majority Judgement
Rida Laraki Majority Judgement
3. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Social Choice
The fundamental problem of electing and ranking: to find a social
decision function (SDF):
inputs −→ ouputs
Rida Laraki Majority Judgement
4. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Social Choice
The fundamental problem of electing and ranking: to find a social
decision function (SDF):
inputs −→ ouputs
messages −→ decisions
Rida Laraki Majority Judgement
5. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Social Choice
The fundamental problem of electing and ranking: to find a social
decision function (SDF):
inputs −→ ouputs
messages −→ decisions
In the traditional model:
society’s rank-ordering
voters’ rank-orderings −→
society’s choice
Rida Laraki Majority Judgement
6. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Social Choice
The fundamental problem of electing and ranking: to find a social
decision function (SDF):
inputs −→ ouputs
messages −→ decisions
In the traditional model:
society’s rank-ordering
voters’ rank-orderings −→
society’s choice
In the new model:
society’s grades
voters’ grades −→
society’s rank-ordering
Rida Laraki Majority Judgement
7. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
At the beginning: Copeland’s method!
Traditionally, a voter input is a list of candidates ordered from
best to worst.
Rida Laraki Majority Judgement
8. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
At the beginning: Copeland’s method!
Traditionally, a voter input is a list of candidates ordered from
best to worst.
In 1297, Ramon Llull proposed a pairwise system that is a
refinement of the Condorcet-winner, known today as Copeland’s
method (1951):
Rida Laraki Majority Judgement
9. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
At the beginning: Copeland’s method!
Traditionally, a voter input is a list of candidates ordered from
best to worst.
In 1297, Ramon Llull proposed a pairwise system that is a
refinement of the Condorcet-winner, known today as Copeland’s
method (1951):
give every candidate a point for each candidate he defeats in a
head-to-head race (a point to both if they are tied),
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10. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
At the beginning: Copeland’s method!
Traditionally, a voter input is a list of candidates ordered from
best to worst.
In 1297, Ramon Llull proposed a pairwise system that is a
refinement of the Condorcet-winner, known today as Copeland’s
method (1951):
give every candidate a point for each candidate he defeats in a
head-to-head race (a point to both if they are tied),
the candidate with the most points is elected.
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11. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
The Condorcet Paradox (1786)
Of course, there may be no Condorcet-winner:
30% 32% 38%
A B C
B C A
C A B
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12. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
The Condorcet Paradox (1786)
Of course, there may be no Condorcet-winner:
30% 32% 38% A B C
A B C A – 68% 30%
B C A B 32% – 62%
C A B C 70% 38% –
Rida Laraki Majority Judgement
13. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
The Condorcet Paradox (1786)
Of course, there may be no Condorcet-winner:
30% 32% 38% A B C
A B C A – 68% 30%
B C A B 32% – 62%
C A B C 70% 38% –
because
A(68%) ≻ B(62%) ≻ C (70%) ≻ A
Rida Laraki Majority Judgement
14. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
The Condorcet Paradox (1786)
Of course, there may be no Condorcet-winner:
30% 32% 38% A B C
A B C A – 68% 30%
B C A B 32% – 62%
C A B C 70% 38% –
because
A(68%) ≻ B(62%) ≻ C (70%) ≻ A
The Condorcet paradox.
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15. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Borda’s Method
In 1433, Nicolas Cusanus proposed what is known today as Borda’s
method (1780):
Points 30% 32% 38%
2 A B C
1 B C A
0 C A B
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16. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Borda’s Method
In 1433, Nicolas Cusanus proposed what is known today as Borda’s
method (1780):
Points 30% 32% 38% Borda score
2 A B C A: 60+38=98
1 B C A B: 30+64=94
0 C A B C : 32+76=108
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17. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Borda’s Method
In 1433, Nicolas Cusanus proposed what is known today as Borda’s
method (1780):
Points 30% 32% 38% Borda score
2 A B C A: 60+38=98
1 B C A B: 30+64=94
0 C A B C : 32+76=108
Or,
A B C Borda score
A – 68% 30% 98
B 32% – 62% 94
C 70% 38% – 108
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18. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Borda’s Method
In 1433, Nicolas Cusanus proposed what is known today as Borda’s
method (1780):
Points 30% 32% 38% Borda score
2 A B C A: 60+38=98
1 B C A B: 30+64=94
0 C A B C : 32+76=108
Or,
A B C Borda score
A – 68% 30% 98
B 32% – 62% 94
C 70% 38% – 108
The Borda-ranking : C ≻ A ≻ B.
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19. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
UK’s, USA’s, France’s Methods
Rida Laraki Majority Judgement
20. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
UK’s, USA’s, France’s Methods
First-past-the-post (UK, USA, . . . ): A voter names one candidate
(the input). The candidate most often named is elected (the
output).
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21. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
UK’s, USA’s, France’s Methods
First-past-the-post (UK, USA, . . . ): A voter names one candidate
(the input). The candidate most often named is elected (the
output).
Two-past-the-post (France, . . . ): A voter names one candidate. If
one candidate is named by more than 50% of the voters, he or she
is elected. Otherwise, there is a run-off between the two candidates
most often named.
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22. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
The winner depends on the method
5% 33% 34% 28% A B C
A A B C A – 38% 38%
B C C B B 62% – 39%
C B A A C 62% 61% –
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The winner depends on the method
5% 33% 34% 28% A B C
A A B C A – 38% 38%
B C C B B 62% – 39%
C B A A C 62% 61% –
(1) First-past-the-post: A ≻ B ≻ C
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24. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
The winner depends on the method
5% 33% 34% 28% A B C
A A B C A – 38% 38%
B C C B B 62% – 39%
C B A A C 62% 61% –
(1) First-past-the-post: A ≻ B ≻ C
(2)Two-past-the-post: B ≻ A ≻ C
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25. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
The winner depends on the method
5% 33% 34% 28% A B C
A A B C A – 38% 38%
B C C B B 62% – 39%
C B A A C 62% 61% –
(1) First-past-the-post: A ≻ B ≻ C
(2)Two-past-the-post: B ≻ A ≻ C
(3) Borda: C ≻ B ≻ A (and Condorcet)
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26. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
The winner depends on the method
5% 33% 34% 28% A B C
A A B C A – 38% 38%
B C C B B 62% – 39%
C B A A C 62% 61% –
(1) First-past-the-post: A ≻ B ≻ C
(2)Two-past-the-post: B ≻ A ≻ C
(3) Borda: C ≻ B ≻ A (and Condorcet)
Strategic manipulation pays:
Rida Laraki Majority Judgement
27. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
The winner depends on the method
5% 33% 34% 28% A B C
A A B C A – 38% 38%
B C C B B 62% – 39%
C B A A C 62% 61% –
(1) First-past-the-post: A ≻ B ≻ C
(2)Two-past-the-post: B ≻ A ≻ C
(3) Borda: C ≻ B ≻ A (and Condorcet)
Strategic manipulation pays:
If with (1), the 28% vote for B: B wins.
Rida Laraki Majority Judgement
28. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
The winner depends on the method
5% 33% 34% 28% A B C
A A B C A – 38% 38%
B C C B B 62% – 39%
C B A A C 62% 61% –
(1) First-past-the-post: A ≻ B ≻ C
(2)Two-past-the-post: B ≻ A ≻ C
(3) Borda: C ≻ B ≻ A (and Condorcet)
Strategic manipulation pays:
If with (1), the 28% vote for B: B wins.
If with (2), the 33% vote for C : C wins.
Rida Laraki Majority Judgement
29. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
The winner depends on the method
5% 33% 34% 28% A B C
A A B C A – 38% 38%
B C C B B 62% – 39%
C B A A C 62% 61% –
(1) First-past-the-post: A ≻ B ≻ C
(2)Two-past-the-post: B ≻ A ≻ C
(3) Borda: C ≻ B ≻ A (and Condorcet)
Strategic manipulation pays:
If with (1), the 28% vote for B: B wins.
If with (2), the 33% vote for C : C wins.
If with (3), 34% vote B ≻ A ≻ C : B wins.
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30. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Arrow’s paradox
5% 33% 34% 28% A B C
A A B C A – 38% 38%
B C C B B 62% – 39%
C B A A C 62% 61% –
(1) First-past-the-post: A wins
(2)Two-past-the-post: B wins
(3) Borda: C wins.
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31. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Arrow’s paradox
5% 33% 34% 28% A B C
A A B C A – 38% 38%
B C C B B 62% – 39%
C B A A C 62% 61% –
(1) First-past-the-post: A wins
(2)Two-past-the-post: B wins
(3) Borda: C wins.
Arrow’s paradox:
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32. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Arrow’s paradox
5% 33% 34% 28% A B C
A A B C A – 38% 38%
B C C B B 62% – 39%
C B A A C 62% 61% –
(1) First-past-the-post: A wins
(2)Two-past-the-post: B wins
(3) Borda: C wins.
Arrow’s paradox:
If with (1), C (a loser) drops out, B wins; if B (a loser) drops
out C wins.
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33. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Arrow’s paradox
5% 33% 34% 28% A B C
A A B C A – 38% 38%
B C C B B 62% – 39%
C B A A C 62% 61% –
(1) First-past-the-post: A wins
(2)Two-past-the-post: B wins
(3) Borda: C wins.
Arrow’s paradox:
If with (1), C (a loser) drops out, B wins; if B (a loser) drops
out C wins.
If with (2), A (a loser) drops out, C wins.
Rida Laraki Majority Judgement
34. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Unavoidable conundrum of the traditional model
Rida Laraki Majority Judgement
35. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Unavoidable conundrum of the traditional model
In the context of the traditional model, a reasonable method should
guarantee for 3 alternatives or more:
Rida Laraki Majority Judgement
36. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Unavoidable conundrum of the traditional model
In the context of the traditional model, a reasonable method should
guarantee for 3 alternatives or more:
1) Full domain: Voters are permitted to list candidates in
any order they wish.
Rida Laraki Majority Judgement
37. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Unavoidable conundrum of the traditional model
In the context of the traditional model, a reasonable method should
guarantee for 3 alternatives or more:
1) Full domain: Voters are permitted to list candidates in
any order they wish.
2) Unanimity: When a candidate is first on every voter’s list,
then that candidate is the winner.
Rida Laraki Majority Judgement
38. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Unavoidable conundrum of the traditional model
In the context of the traditional model, a reasonable method should
guarantee for 3 alternatives or more:
1) Full domain: Voters are permitted to list candidates in
any order they wish.
2) Unanimity: When a candidate is first on every voter’s list,
then that candidate is the winner.
3) Independence of irrelevant alternatives: The winner
does not change because some “irrelevant” candidate runs or
withdraws (This is in fact Nash’s formulation of IIA).
Rida Laraki Majority Judgement
39. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Unavoidable conundrum of the traditional model
In the context of the traditional model, a reasonable method should
guarantee for 3 alternatives or more:
1) Full domain: Voters are permitted to list candidates in
any order they wish.
2) Unanimity: When a candidate is first on every voter’s list,
then that candidate is the winner.
3) Independence of irrelevant alternatives: The winner
does not change because some “irrelevant” candidate runs or
withdraws (This is in fact Nash’s formulation of IIA).
4) Strategy Proof: It is a dominant strategy to vote honestly.
Rida Laraki Majority Judgement
40. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Unavoidable conundrum of the traditional model
In the context of the traditional model, a reasonable method should
guarantee for 3 alternatives or more:
1) Full domain: Voters are permitted to list candidates in
any order they wish.
2) Unanimity: When a candidate is first on every voter’s list,
then that candidate is the winner.
3) Independence of irrelevant alternatives: The winner
does not change because some “irrelevant” candidate runs or
withdraws (This is in fact Nash’s formulation of IIA).
4) Strategy Proof: It is a dominant strategy to vote honestly.
Theorem (Arrow’s impossibility)
Only the dictatorial rule meets 1, 2 and 3.
Rida Laraki Majority Judgement
41. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Unavoidable conundrum of the traditional model
In the context of the traditional model, a reasonable method should
guarantee for 3 alternatives or more:
1) Full domain: Voters are permitted to list candidates in
any order they wish.
2) Unanimity: When a candidate is first on every voter’s list,
then that candidate is the winner.
3) Independence of irrelevant alternatives: The winner
does not change because some “irrelevant” candidate runs or
withdraws (This is in fact Nash’s formulation of IIA).
4) Strategy Proof: It is a dominant strategy to vote honestly.
Theorem (Arrow’s impossibility)
Only the dictatorial rule meets 1, 2 and 3.
Theorem (Gibbard/Satterthwaite’s impossibility)
Only the dictatorial rule meets 1, 2 and 4.
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42. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Are the paradoxes real in practice?
Rida Laraki Majority Judgement
43. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Are the paradoxes real in practice?
In the 2000 USA presidential election, the presence of a minor
candidate, Ralph Nader, changed the outcome.
Rida Laraki Majority Judgement
44. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Are the paradoxes real in practice?
In the 2000 USA presidential election, the presence of a minor
candidate, Ralph Nader, changed the outcome.
In the 2002 French presidential election , with 16 candidates,
Jospin (the major candidate of the left) was eliminated in the
first round. In the second round, Chirac (moderate right)
crushed Le Pen (extreme right) with a score of 82%. Many
polls predicted that Jospin would have won against Chirac.
Rida Laraki Majority Judgement
45. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Are the paradoxes real in practice?
In the 2000 USA presidential election, the presence of a minor
candidate, Ralph Nader, changed the outcome.
In the 2002 French presidential election , with 16 candidates,
Jospin (the major candidate of the left) was eliminated in the
first round. In the second round, Chirac (moderate right)
crushed Le Pen (extreme right) with a score of 82%. Many
polls predicted that Jospin would have won against Chirac.
Consequently, 30% of French voters voted strategically in
2007: minor candidates of the left obtained 27% in 2002 and
11% in 2007, minors of the right 16% in 2002 and 3% in 2002.
Rida Laraki Majority Judgement
46. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Are the paradoxes real in practice?
In the 2000 USA presidential election, the presence of a minor
candidate, Ralph Nader, changed the outcome.
In the 2002 French presidential election , with 16 candidates,
Jospin (the major candidate of the left) was eliminated in the
first round. In the second round, Chirac (moderate right)
crushed Le Pen (extreme right) with a score of 82%. Many
polls predicted that Jospin would have won against Chirac.
Consequently, 30% of French voters voted strategically in
2007: minor candidates of the left obtained 27% in 2002 and
11% in 2007, minors of the right 16% in 2002 and 3% in 2002.
In 2007, many polls showed that Bayrou was the Condorcet
winner. Yet, he was eliminated in the first round.
Rida Laraki Majority Judgement
47. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Are the paradoxes real in practice?
In the 2000 USA presidential election, the presence of a minor
candidate, Ralph Nader, changed the outcome.
In the 2002 French presidential election , with 16 candidates,
Jospin (the major candidate of the left) was eliminated in the
first round. In the second round, Chirac (moderate right)
crushed Le Pen (extreme right) with a score of 82%. Many
polls predicted that Jospin would have won against Chirac.
Consequently, 30% of French voters voted strategically in
2007: minor candidates of the left obtained 27% in 2002 and
11% in 2007, minors of the right 16% in 2002 and 3% in 2002.
In 2007, many polls showed that Bayrou was the Condorcet
winner. Yet, he was eliminated in the first round.
Condorcet paradox was observed in the 1994 general election
of the Danish Folketing and in a real wine competition.
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48. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Contents
1 Traditional Methods and results
2 Incompatibility Between Electing and Ranking
3 Majority Judgement: Two Applications
Wine competitions
Presidential Elections
4 New Model and Theory of Majority Judgement
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49. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet’s method
In 1789, the Marquis the Condorcet proposed the
Condorcet-ranking . It is known as Kemeny’s rule. It associates a
score to each possible rank ordering.
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50. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet’s method
In 1789, the Marquis the Condorcet proposed the
Condorcet-ranking . It is known as Kemeny’s rule. It associates a
score to each possible rank ordering.
A voter contributes k Condorcet-points to a rank-ordering if his
input agrees in k pair-by-pair comparisons.
Rida Laraki Majority Judgement
51. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet’s method
In 1789, the Marquis the Condorcet proposed the
Condorcet-ranking . It is known as Kemeny’s rule. It associates a
score to each possible rank ordering.
A voter contributes k Condorcet-points to a rank-ordering if his
input agrees in k pair-by-pair comparisons.
The Condorcet-score of a rank-ordering is the sum of its
Condorcet-points over all voters.
Rida Laraki Majority Judgement
52. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet’s method
In 1789, the Marquis the Condorcet proposed the
Condorcet-ranking . It is known as Kemeny’s rule. It associates a
score to each possible rank ordering.
A voter contributes k Condorcet-points to a rank-ordering if his
input agrees in k pair-by-pair comparisons.
The Condorcet-score of a rank-ordering is the sum of its
Condorcet-points over all voters.
The Condorcet-ranking is the ranking that maximizes the
Condorcet-score.
Rida Laraki Majority Judgement
53. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet’s method
In 1789, the Marquis the Condorcet proposed the
Condorcet-ranking . It is known as Kemeny’s rule. It associates a
score to each possible rank ordering.
A voter contributes k Condorcet-points to a rank-ordering if his
input agrees in k pair-by-pair comparisons.
The Condorcet-score of a rank-ordering is the sum of its
Condorcet-points over all voters.
The Condorcet-ranking is the ranking that maximizes the
Condorcet-score.
Property 1: the method is Condorcet consistent: the
Condorcet-winner —(when he exists)—is always the first-ranked by
the Condorcet-ranking.
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54. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet’s method
In 1789, the Marquis the Condorcet proposed the
Condorcet-ranking . It is known as Kemeny’s rule. It associates a
score to each possible rank ordering.
A voter contributes k Condorcet-points to a rank-ordering if his
input agrees in k pair-by-pair comparisons.
The Condorcet-score of a rank-ordering is the sum of its
Condorcet-points over all voters.
The Condorcet-ranking is the ranking that maximizes the
Condorcet-score.
Property 1: the method is Condorcet consistent: the
Condorcet-winner —(when he exists)—is always the first-ranked by
the Condorcet-ranking.
Property 2: computing a Condorcet-Kemeny ranking is NP-hard
(Bartholdi, Tovey, and Trick, 1989).
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Saari’s insight
Condordet gave this 81-voter example to argue Borda’s method is
bad:
30 : A ≻ B ≻ C 1:A≻C ≻B 29 : B ≻ A ≻ C
10 : B ≻ C ≻ A 10 : C ≻ A ≻ B 1 : C ≻ B ≻ A.
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56. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Saari’s insight
Condordet gave this 81-voter example to argue Borda’s method is
bad:
30 : A ≻ B ≻ C 1:A≻C ≻B 29 : B ≻ A ≻ C
10 : B ≻ C ≻ A 10 : C ≻ A ≻ B 1 : C ≻ B ≻ A.
The Condorcet-winner is A:
A(41) ≻S B(40), A(60) ≻S C (21).
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57. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Saari’s insight
Condordet gave this 81-voter example to argue Borda’s method is
bad:
30 : A ≻ B ≻ C 1:A≻C ≻B 29 : B ≻ A ≻ C
10 : B ≻ C ≻ A 10 : C ≻ A ≻ B 1 : C ≻ B ≻ A.
The Condorcet-winner is A:
A(41) ≻S B(40), A(60) ≻S C (21).
The Borda-ranking is B(109) ≻S A(101) ≻S C (33).
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58. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Saari’s insight
Condordet gave this 81-voter example to argue Borda’s method is
bad:
30 : A ≻ B ≻ C 1:A≻C ≻B 29 : B ≻ A ≻ C
10 : B ≻ C ≻ A 10 : C ≻ A ≻ B 1 : C ≻ B ≻ A.
The Condorcet-winner is A:
A(41) ≻S B(40), A(60) ≻S C (21).
The Borda-ranking is B(109) ≻S A(101) ≻S C (33).
The Condorcet-ranking is A ≻S B ≻S C
(C-score 41 + 60 + 69 = 170; of Borda-ranking 169).
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59. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Saari’s insight
30 : A ≻ B ≻ C 1:A≻C ≻B 29 : B ≻ A ≻ C
10 : B ≻ C ≻ A 10 : C ≻ A ≻ B 1 : C ≻ B ≻ A.
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60. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Saari’s insight
30 : A ≻ B ≻ C 1:A≻C ≻B 29 : B ≻ A ≻ C
10 : B ≻ C ≻ A 10 : C ≻ A ≻ B 1 : C ≻ B ≻ A.
30 of the 81 voters constitute a Condorcet-component
10 : A ≻ B ≻ C 10 : B ≻ C ≻ A 10 : C ≻ A ≻ B.
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61. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Saari’s insight
30 : A ≻ B ≻ C 1:A≻C ≻B 29 : B ≻ A ≻ C
10 : B ≻ C ≻ A 10 : C ≻ A ≻ B 1 : C ≻ B ≻ A.
30 of the 81 voters constitute a Condorcet-component
10 : A ≻ B ≻ C 10 : B ≻ C ≻ A 10 : C ≻ A ≻ B.
What do these 30 voters say? A, B and C are “ tied.” They
offer no further information. They cancel each other.
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62. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Saari’s insight
30 : A ≻ B ≻ C 1:A≻C ≻B 29 : B ≻ A ≻ C
10 : B ≻ C ≻ A 10 : C ≻ A ≻ B 1 : C ≻ B ≻ A.
30 of the 81 voters constitute a Condorcet-component
10 : A ≻ B ≻ C 10 : B ≻ C ≻ A 10 : C ≻ A ≻ B.
What do these 30 voters say? A, B and C are “ tied.” They
offer no further information. They cancel each other.
There is another Condorcet-component:
1:A≻C ≻B 1:C ≻B ≻A 1 : B ≻ A ≻ C.
They too cancel.
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63. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Saari’s insight
After cancellation the problem becomes:
20 : A ≻ B ≻ C 28 : B ≻ A ≻ C .
B is the obvious winner!
Saari’s conclusion: the Condorcet-winner—when he exists—is not
the candidate who should win in every case!
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64. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Saari’s insight
After cancellation the problem becomes:
20 : A ≻ B ≻ C 28 : B ≻ A ≻ C .
B is the obvious winner!
Saari’s conclusion: the Condorcet-winner—when he exists—is not
the candidate who should win in every case!
Borda’s method is immune to cancellation: the same number of
points is deducted from every candidate.
Rida Laraki Majority Judgement
65. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Saari’s insight
After cancellation the problem becomes:
20 : A ≻ B ≻ C 28 : B ≻ A ≻ C .
B is the obvious winner!
Saari’s conclusion: the Condorcet-winner—when he exists—is not
the candidate who should win in every case!
Borda’s method is immune to cancellation: the same number of
points is deducted from every candidate.
No Condorcet consistent method is immune to cancellation.
Rida Laraki Majority Judgement
66. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners and rankings?
Is Borda’s method good for designating a winner, or a ranking, or
both?
Rida Laraki Majority Judgement
67. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners and rankings?
Is Borda’s method good for designating a winner, or a ranking, or
both?
Is Condorcet’s method good for designating a winner, or a ranking,
or both?
Rida Laraki Majority Judgement
68. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners and rankings?
Is Borda’s method good for designating a winner, or a ranking, or
both?
Is Condorcet’s method good for designating a winner, or a ranking,
or both?
Intuitively, both:
Rida Laraki Majority Judgement
69. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners and rankings?
Is Borda’s method good for designating a winner, or a ranking, or
both?
Is Condorcet’s method good for designating a winner, or a ranking,
or both?
Intuitively, both:
Given a method of ranking, the first-placed candidate is the
winner.
Rida Laraki Majority Judgement
70. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners and rankings?
Is Borda’s method good for designating a winner, or a ranking, or
both?
Is Condorcet’s method good for designating a winner, or a ranking,
or both?
Intuitively, both:
Given a method of ranking, the first-placed candidate is the
winner.
Given a method of designating a winner (or loser), he is the
first-ranked (or last-ranked); the second-ranked is the winner
among the remaining candidates; . . .
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71. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Borda for winners
Given a profile of preferences, a candidate-scoring method assigns a
nonnegative score to every candidate.
Rida Laraki Majority Judgement
72. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Borda for winners
Given a profile of preferences, a candidate-scoring method assigns a
nonnegative score to every candidate.
It should:
Rida Laraki Majority Judgement
73. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Borda for winners
Given a profile of preferences, a candidate-scoring method assigns a
nonnegative score to every candidate.
It should:
(1) assign a 0 to the worst possible candidate: give a 0 to a
candidate last on every voter’s list;
Rida Laraki Majority Judgement
74. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Borda for winners
Given a profile of preferences, a candidate-scoring method assigns a
nonnegative score to every candidate.
It should:
(1) assign a 0 to the worst possible candidate: give a 0 to a
candidate last on every voter’s list;
(2) correctly reward a minimal improvement: when a voter
inverts two successive candidates of his list, the score of the
candidate who moves up increases by 1.
Rida Laraki Majority Judgement
75. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Borda for winners
Given a profile of preferences, a candidate-scoring method assigns a
nonnegative score to every candidate.
It should:
(1) assign a 0 to the worst possible candidate: give a 0 to a
candidate last on every voter’s list;
(2) correctly reward a minimal improvement: when a voter
inverts two successive candidates of his list, the score of the
candidate who moves up increases by 1.
Theorem
Borda-score characterization. The Borda-score is the unique
candidate-scoring method that assigns a 0 to the worst possible
candidate and correctly rewards minimal improvements.
Rida Laraki Majority Judgement
76. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Borda for winners
Given a profile of preferences, a candidate-scoring method assigns a
nonnegative score to every candidate.
It should:
(1) assign a 0 to the worst possible candidate: give a 0 to a
candidate last on every voter’s list;
(2) correctly reward a minimal improvement: when a voter
inverts two successive candidates of his list, the score of the
candidate who moves up increases by 1.
Theorem
Borda-score characterization. The Borda-score is the unique
candidate-scoring method that assigns a 0 to the worst possible
candidate and correctly rewards minimal improvements.
Moral: The Borda-score concerns winners.
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77. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet for rankings
Given a profile of preferences, a rank-scoring method assigns a
nonnegative score to every ranking.
Rida Laraki Majority Judgement
78. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet for rankings
Given a profile of preferences, a rank-scoring method assigns a
nonnegative score to every ranking.
The opposite of a ranking A ≻ B ≻ C ≻ D ≻ . . . is
A ≺ B ≺ C ≺ D ≺ . . ..
Rida Laraki Majority Judgement
79. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet for rankings
Given a profile of preferences, a rank-scoring method assigns a
nonnegative score to every ranking.
The opposite of a ranking A ≻ B ≻ C ≻ D ≻ . . . is
A ≺ B ≺ C ≺ D ≺ . . ..
A rank-scoring method should:
Rida Laraki Majority Judgement
80. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet for rankings
Given a profile of preferences, a rank-scoring method assigns a
nonnegative score to every ranking.
The opposite of a ranking A ≻ B ≻ C ≻ D ≻ . . . is
A ≺ B ≺ C ≺ D ≺ . . ..
A rank-scoring method should:
(1) assign a 0 to the worst possible ranking : give a 0 to a
ranking if every voter’s preference is the opposite ranking;
Rida Laraki Majority Judgement
81. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet for rankings
Given a profile of preferences, a rank-scoring method assigns a
nonnegative score to every ranking.
The opposite of a ranking A ≻ B ≻ C ≻ D ≻ . . . is
A ≺ B ≺ C ≺ D ≺ . . ..
A rank-scoring method should:
(1) assign a 0 to the worst possible ranking : give a 0 to a
ranking if every voter’s preference is the opposite ranking;
(2) correctly reward a minimal improvement: when one voter
inverts two successive candidates of his list, the score of every
order that agrees with the change increases by 1.
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82. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet for rankings
Theorem
Condorcet-score characterization. The Condorcet-score is the
unique rank-scoring method that assigns a 0 to the worst possible
order and correctly rewards minimal improvements.
Rida Laraki Majority Judgement
83. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Condorcet for rankings
Theorem
Condorcet-score characterization. The Condorcet-score is the
unique rank-scoring method that assigns a 0 to the worst possible
order and correctly rewards minimal improvements.
Moral: The Condorcet-score concerns rankings.
Rida Laraki Majority Judgement
84. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners or rankings?
Are ranking and designating winners two sides of one coin?
Rida Laraki Majority Judgement
85. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners or rankings?
Are ranking and designating winners two sides of one coin?
333 : A ≻ B ≻ C 333 : B ≻ C ≻ A 333 : C ≻ A ≻ B
Rida Laraki Majority Judgement
86. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners or rankings?
Are ranking and designating winners two sides of one coin?
333 : A ≻ B ≻ C 333 : B ≻ C ≻ A 333 : C ≻ A ≻ B
1 : A ≻ C ≻ B.
Rida Laraki Majority Judgement
87. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners or rankings?
Are ranking and designating winners two sides of one coin?
333 : A ≻ B ≻ C 333 : B ≻ C ≻ A 333 : C ≻ A ≻ B
1 : A ≻ C ≻ B.
By Borda:
Rida Laraki Majority Judgement
88. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners or rankings?
Are ranking and designating winners two sides of one coin?
333 : A ≻ B ≻ C 333 : B ≻ C ≻ A 333 : C ≻ A ≻ B
1 : A ≻ C ≻ B.
By Borda:
A is the winner, B the loser: reasonable
Rida Laraki Majority Judgement
89. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners or rankings?
Are ranking and designating winners two sides of one coin?
333 : A ≻ B ≻ C 333 : B ≻ C ≻ A 333 : C ≻ A ≻ B
1 : A ≻ C ≻ B.
By Borda:
A is the winner, B the loser: reasonable
Thus, society’s order is A ≻S C ≻S B: unreasonable
Rida Laraki Majority Judgement
90. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners or rankings?
Are ranking and designating winners two sides of one coin?
333 : A ≻ B ≻ C 333 : B ≻ C ≻ A 333 : C ≻ A ≻ B
1 : A ≻ C ≻ B.
By Borda:
A is the winner, B the loser: reasonable
Thus, society’s order is A ≻S C ≻S B: unreasonable
By Condorcet:
A ≻S B ≻S C and C ≻S A ≻S B tied for first: reasonable
Rida Laraki Majority Judgement
91. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners or rankings?
Are ranking and designating winners two sides of one coin?
333 : A ≻ B ≻ C 333 : B ≻ C ≻ A 333 : C ≻ A ≻ B
1 : A ≻ C ≻ B.
By Borda:
A is the winner, B the loser: reasonable
Thus, society’s order is A ≻S C ≻S B: unreasonable
By Condorcet:
A ≻S B ≻S C and C ≻S A ≻S B tied for first: reasonable
No reasonable ranking function must choose A ≻ C ≻ B.
Rida Laraki Majority Judgement
92. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners or rankings?
Are ranking and designating winners two sides of one coin?
333 : A ≻ B ≻ C 333 : B ≻ C ≻ A 333 : C ≻ A ≻ B
1 : A ≻ C ≻ B.
By Borda:
A is the winner, B the loser: reasonable
Thus, society’s order is A ≻S C ≻S B: unreasonable
By Condorcet:
A ≻S B ≻S C and C ≻S A ≻S B tied for first: reasonable
No reasonable ranking function must choose A ≻ C ≻ B.
Any reasonable choice function must choose A ≻ C ≻ B..
Rida Laraki Majority Judgement
93. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Winners or rankings?
Are ranking and designating winners two sides of one coin?
333 : A ≻ B ≻ C 333 : B ≻ C ≻ A 333 : C ≻ A ≻ B
1 : A ≻ C ≻ B.
By Borda:
A is the winner, B the loser: reasonable
Thus, society’s order is A ≻S C ≻S B: unreasonable
By Condorcet:
A ≻S B ≻S C and C ≻S A ≻S B tied for first: reasonable
No reasonable ranking function must choose A ≻ C ≻ B.
Any reasonable choice function must choose A ≻ C ≻ B..
A fundamental incompatibility between electing and ranking.
Rida Laraki Majority Judgement
94. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Contents
1 Traditional Methods and results
2 Incompatibility Between Electing and Ranking
3 Majority Judgement: Two Applications
Wine competitions
Presidential Elections
4 New Model and Theory of Majority Judgement
Rida Laraki Majority Judgement
95. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Citadelles du vin Experiment, Bordeaux 2008
Anjou Bourgogne Chablis
Very good Excellent Excellent
Very good Very good Excellent
Good Good Good
Good Good Passable
Passable Mediocre Mediocre
Rida Laraki Majority Judgement
96. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Citadelles du vin Experiment, Bordeaux 2008
Anjou Bourgogne Chablis
Very good Excellent Excellent
Very good Very good Excellent
Good Good Good
Good Good Passable
Passable Mediocre Mediocre
Anjou Bourgogne Chablis
Very good Excellent Excellent
Very good Very good Excellent
Good Good Passable
Passable Mediocre Mediocre
Rida Laraki Majority Judgement
97. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Citadelles du vin Experiment, Bordeaux 2008
Anjou Bourgogne
Very good Excellent
Very good Very good
Passable Mediocre
Rida Laraki Majority Judgement
98. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Citadelles du vin Experiment, Bordeaux 2008
Anjou Bourgogne
Very good Excellent
Very good Very good
Passable Mediocre
Anjou Bourgogne
Very good Excellent
Passable Mediocre
Rida Laraki Majority Judgement
99. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Citadelles du vin Experiment, Bordeaux 2008
Anjou Bourgogne
Very good Excellent
Very good Very good
Passable Mediocre
Anjou Bourgogne
Very good Excellent
Passable Mediocre
Therefore: Anjou ≻ Bourgogne ≻ Chablis
Rida Laraki Majority Judgement
100. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
French President elections experiment, Orsay, April 23, 2007
Rida Laraki Majority Judgement
101. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
French President elections experiment, Orsay, April 23, 2007
A field experiment conducted in 3 of Orsay’s 12 voting bureaux
the day of the first round of the French Presidential election.
Rida Laraki Majority Judgement
102. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
French President elections experiment, Orsay, April 23, 2007
A field experiment conducted in 3 of Orsay’s 12 voting bureaux
the day of the first round of the French Presidential election.
These three are not representative of France.
Rida Laraki Majority Judgement
103. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
French President elections experiment, Orsay, April 23, 2007
A field experiment conducted in 3 of Orsay’s 12 voting bureaux
the day of the first round of the French Presidential election.
These three are not representative of France.
Potential participants informed by mailings, local publications
and posters with active participation of the Mayor’s office.
Rida Laraki Majority Judgement
104. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
French President elections experiment, Orsay, April 23, 2007
A field experiment conducted in 3 of Orsay’s 12 voting bureaux
the day of the first round of the French Presidential election.
These three are not representative of France.
Potential participants informed by mailings, local publications
and posters with active participation of the Mayor’s office.
After casting their official ballots, voters invited to cast
majority judgment ballots (at adjacent tables and booths).
Rida Laraki Majority Judgement
105. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
French President elections experiment, Orsay, April 23, 2007
A field experiment conducted in 3 of Orsay’s 12 voting bureaux
the day of the first round of the French Presidential election.
These three are not representative of France.
Potential participants informed by mailings, local publications
and posters with active participation of the Mayor’s office.
After casting their official ballots, voters invited to cast
majority judgment ballots (at adjacent tables and booths).
Under identical conditions: ballots filled out in booths, inserted
in envelopes and deposited in transparent urns.
Rida Laraki Majority Judgement
106. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
French President elections experiment, Orsay, April 23, 2007
A field experiment conducted in 3 of Orsay’s 12 voting bureaux
the day of the first round of the French Presidential election.
These three are not representative of France.
Potential participants informed by mailings, local publications
and posters with active participation of the Mayor’s office.
After casting their official ballots, voters invited to cast
majority judgment ballots (at adjacent tables and booths).
Under identical conditions: ballots filled out in booths, inserted
in envelopes and deposited in transparent urns.
2,360 voted officially, 1,752 (74%) participated in experiment,
1,733 ballots valid. 1,705 were different.
Rida Laraki Majority Judgement
107. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
French President elections experiment, Orsay, April 23, 2007
A field experiment conducted in 3 of Orsay’s 12 voting bureaux
the day of the first round of the French Presidential election.
These three are not representative of France.
Potential participants informed by mailings, local publications
and posters with active participation of the Mayor’s office.
After casting their official ballots, voters invited to cast
majority judgment ballots (at adjacent tables and booths).
Under identical conditions: ballots filled out in booths, inserted
in envelopes and deposited in transparent urns.
2,360 voted officially, 1,752 (74%) participated in experiment,
1,733 ballots valid. 1,705 were different.
Many voters expressed their satisfaction to be able to vote
with the majority judgement ballot.
Rida Laraki Majority Judgement
108. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Ballot: Election of the President of France 2007
To be president of France, having taken into account all considerations,
I judge, in conscience, that this candidate would be:
Excellent VGood Good Acceptable Poor to Reject
Besancenot
Buffet
Schivardi
Bayrou
Bové
Voynet
Villiers
Royal
Nihous
Le Pen
Laguiller
Sarkozy
Rida Laraki Majority Judgement
112. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Majority-gauge-ranking : French Elections, 2007
Higher The Lower Official Ntnl
M-G M-G M-G vote vote
3 Bayrou 44.3% Good+ 30.6% 25.5% 18.6%
2 Royal 39.4% Good- 41.5% 29.9% 25.9%
1 Sarkozy 38.9% Good- 46.9% 29.0% 31.2%
8 Voynet 29.8% Acceptable- 46.6% 1.7% 1.6%
5 Besancenot 46.3% Poor+ 31.2% 2.5% 4.1%
7 Buffet 43.2% Poor+ 30.5% 1.4% 1.9%
10 Bové 34.9% Poor- 39.4% 0.9% 1.3%
9 Laguiller 34.2% Poor- 40.0% 0.8% 1.3%
11 Nihous 45.0% To reject - 0.3% 1.2%
6 Villiers 44.5% To reject - 1.9% 2.2%
12 Schivardi 39.7% To reject - 0.2% 0.3%
4 Le Pen 25.7% To reject - 5.9% 10.4%
Majority-gauge (p, α± , q)
Rida Laraki Majority Judgement
113. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Voting behavior
1/3 of voters did not designate one single “best” candidate.
Rida Laraki Majority Judgement
114. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Voting behavior
1/3 of voters did not designate one single “best” candidate.
1/2 of voters did not use the highest grade for their first
ranked candidate.
Rida Laraki Majority Judgement
115. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Voting behavior
1/3 of voters did not designate one single “best” candidate.
1/2 of voters did not use the highest grade for their first
ranked candidate.
almost all voters rejected more than four candidates.
Rida Laraki Majority Judgement
116. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Voting behavior
1/3 of voters did not designate one single “best” candidate.
1/2 of voters did not use the highest grade for their first
ranked candidate.
almost all voters rejected more than four candidates.
a similar behavior has been observed in all subsequent
experiments and use of majority judgment.
Rida Laraki Majority Judgement
117. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Voting behavior
1/3 of voters did not designate one single “best” candidate.
1/2 of voters did not use the highest grade for their first
ranked candidate.
almost all voters rejected more than four candidates.
a similar behavior has been observed in all subsequent
experiments and use of majority judgment.
The traditional rank-order input does not adequately represent
voters opinions.
Rida Laraki Majority Judgement
118. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
Wine competitions Presidential Elections
Grades in practice
Practical people use measures or grades that are well defined
absolute common languages of evaluation to define decision
mechanisms:
in figure skating (new system), diving and gymnastics
competitions;
in piano, flute and orchestra competitions;
in classifying wines at wine competitions;
in ranking university students;
in classifying hotels and restaurants, e.g.,the Ritz Hotel is a
*****, the Michelin’s *** to the Tour d’Argent restaurant.
Rida Laraki Majority Judgement
119. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
References
Michel Balinski and Rida Laraki (2010). Majority Judgement:
Measuring, Ranking and Electing. MIT Press.
Rida Laraki Majority Judgement
120. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
References
Michel Balinski and Rida Laraki (2010). Majority Judgement:
Measuring, Ranking and Electing. MIT Press.
Michel Balinski and Rida Laraki (2007). “A theory of
measuring, electing and ranking,” Proceedings of the National
Academy of Sciences, U.S.A., vol. 104, pp. 8720-8725.
Rida Laraki Majority Judgement
121. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
References
Michel Balinski and Rida Laraki (2010). Majority Judgement:
Measuring, Ranking and Electing. MIT Press.
Michel Balinski and Rida Laraki (2007). “A theory of
measuring, electing and ranking,” Proceedings of the National
Academy of Sciences, U.S.A., vol. 104, pp. 8720-8725.
Michel Balinski and Rida Laraki (2010). “Election by majority
judgement: experimental evidence,” In Situ and Laboratory
Experiments on Electoral Law Reform: French Presidential
Elections. Co-edited by B. Dolez, B. Grofman and A. Laurent,
Springer.
Rida Laraki Majority Judgement
122. Traditional Methods and results Incompatibility Between Electing and Ranking Majority Judgement: Two Applications
References
Michel Balinski and Rida Laraki (2010). Majority Judgement:
Measuring, Ranking and Electing. MIT Press.
Michel Balinski and Rida Laraki (2007). “A theory of
measuring, electing and ranking,” Proceedings of the National
Academy of Sciences, U.S.A., vol. 104, pp. 8720-8725.
Michel Balinski and Rida Laraki (2010). “Election by majority
judgement: experimental evidence,” In Situ and Laboratory
Experiments on Electoral Law Reform: French Presidential
Elections. Co-edited by B. Dolez, B. Grofman and A. Laurent,
Springer.
Michel Balinski and Rida Laraki (2010). Judge : Don’t Vote!.
Cahier du Laboratoire d’Econométrie de l’Ecole Polytechnique.
Rida Laraki Majority Judgement