activity
20082022
most citedA Sharper discrepancy measure for post-election audits

39 citations · 197 across the 21 of their papers we have counts for

collaborators

28 papers

stat.ME2022★ 30 cited

Pay No Attention to the Model Behind the Curtain

Philip B. Stark

Many widely used models amount to an elaborate means of making up numbers--but once a number has been produced, it tends to be taken seriously and its source (the model) is rarely…

stat.OT2022

Comment on "The statistics wars and intellectual conflicts of interest" by D. Mayo

Philip B. Stark

While P-values are widely abused, they are a useful tool for many purposes; banning them is analogous to banning scalpels because most people do not know how to perform surgery. Ma…

stat.AP2021

RiLACS: Risk-Limiting Audits via Confidence Sequences

Ian Waudby-Smith, Philip B. Stark, Aaditya Ramdas

Accurately determining the outcome of an election is a complex task with many potential sources of error, ranging from software glitches in voting machines to procedural lapses to…

cs.CY2021★ 8 cited

Auditing Hamiltonian Elections

Michelle Blom, Philip B. Stark, Peter J. Stuckey +2

Presidential primaries are a critical part of the United States Presidential electoral process, since they are used to select the candidates in the Presidential election. While met…

stat.AP2020★ 6 cited

A Unified Evaluation of Two-Candidate Ballot-Polling Election Auditing Methods

Zhuoqun Huang, Ronald L. Rivest, Philip B. Stark +2

Counting votes is complex and error-prone. Several statistical methods have been developed to assess election accuracy by manually inspecting randomly selected physical ballots. Tw…

cs.CY2020★ 1 cited

You can do RLAs for IRV

Michelle Blom, Andrew Conway, Dan King +4

The City and County of San Francisco, CA, has used Instant Runoff Voting (IRV) for some elections since 2004. This report describes the first ever process pilot of Risk Limiting Au…