The Anomalies: Difference between revisions

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This is a alphabetical listing of election-related anomalies, which were compared to the GAO's Green Book for potential identification of governance issues.
This is a alphabetical listing of election-related anomalies, which were compared to the GAO's Green Book for potential identification of governance issues.


== List of Anomalies ==
== List of Assessed Anomalies ==


# [[Fraud Potential (2020, 2022, 2024, 2025)]]
===== [[Dropbox Collection (2020)]] =====
Governance issues identified from AZ AG investigation of Drop Box issues identified by the AZ Senate in 2021.


=== Fraud Potential (2020, 2022, 2024, 2025) ===
===== [[Fraud Potential (2020, 2022, 2024, 2025)]] =====
This topic addresses the general concept of fraud or abuse and does not address a specific event. Conservative news reports of potential election-related fraud began in 2020 when a large number of anomalies were identified. News reports of potential fraud resurfaced during the 2022, 2024 and 2025 November elections. All media outlets noted problems with the tabulation delays during each of these elections, only the conservative outlets suggested the problems were potential related to fraud.
A broad-based assessment of the County's actions to address the potential for fraud.  


<u>Potential Green Book Deviations</u>
===== [[Signature Verification]] =====
Principle 8 - Assess Fraud, Improper Payment, and Information Security Risk
An assessment of the importance of the signature verification step and its susceptibility to verification errors.
 
* Attribute(s):  '''[[8.07]], [[8.09]], [[8.10]]'''

Latest revision as of 15:08, 19 August 2026

This is a alphabetical listing of election-related anomalies, which were compared to the GAO's Green Book for potential identification of governance issues.

List of Assessed Anomalies

Governance issues identified from AZ AG investigation of Drop Box issues identified by the AZ Senate in 2021.

A broad-based assessment of the County's actions to address the potential for fraud.

An assessment of the importance of the signature verification step and its susceptibility to verification errors.