Corruption Database – DJT

原始链接: https://github.com/codeddarkness/taco_pardons

This comprehensive database tracks all executive clemency grants issued by President Donald Trump across both his presidencies (2017-2021 & 2025+), totaling 500+ individual records. It features a searchable web interface, detailed datasets, and real-time statistics for analyzing pardons and commutations. Key categories include January 6th defendants, political figures, business executives, and celebrity cases. The database offers advanced search/filtering, interactive demographics (particularly for January 6th defendants), and a user-friendly mobile-responsive design. Data is sourced from official government records, news sources, and academic research, with cross-referencing for accuracy. It includes information on offense, original sentence, restitution waived (over $200 million), and relevant notes. The project allows for cross-presidency comparisons, offers CSV downloads, and details notable cases like Michael Flynn, Alice Johnson, and the mass January 6th clemency. The database is open-source, deployed on GitHub Pages, and encourages contributions. It promotes government transparency and informed civic engagement.

一个名为“腐败数据库——DJT”的Github仓库在Hacker News上引发了讨论。该仓库似乎记录了所谓的滥用行为,可能包括赦免。评论者们就该项目的公正性进行了辩论,并指出仓库名称(“taco_pardons”)可能是偏见的标志。一位评论者建议在一个拥有强大言论自由保护的国家备份数据。 该讨论线程还包括对拜登赦免的讨论,一位评论者声称,参与“儿童换现金”丑闻的两名宾夕法尼亚州法官获得赦免,并在被判处17年监禁后几乎立即获释。然而,另一位评论者纠正了这一点,指出其中一名法官没有获得赦免,预计将于2034年获释,而另一名法官于2020年被送往家庭监禁,并在服刑13年(17.5年刑期)后,于2024年减刑。
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原文

Database Screenshot Mobile Friendly Last Updated

A comprehensive, searchable database of all executive clemency grants issued by President Donald Trump during both his presidencies. This project provides detailed datasets and an interactive web interface for analyzing presidential pardons and commutations across both terms.

📊 View Live Database →

Trump Pardons Database Screenshot

This database tracks all presidential pardons and commutations issued during both Trump presidencies:

Second Term (2025 - Present)

  • 1,500+ January 6th defendants (mass clemency on Day 1)
  • High-profile political figures (Rod Blagojevich, Scott Jenkins, Brian Kelsey)
  • Celebrity cases (Todd & Julie Chrisley, NBA YoungBoy)
  • Business executives (Paul Walczak, Devon Archer, Jason Galanis)
  • Organized crime figures (Larry Hoover - Gangster Disciples)
  • Anti-abortion activists (24 clinic blockade participants)
  • White-collar criminals and corruption cases
  • Political pardons (Michael Flynn, Paul Manafort, Roger Stone)
  • Military cases (Eddie Gallagher, Clint Lorance, Blackwater guards)
  • Celebrity pardons (Lil Wayne, Kodak Black)
  • Business fraud (Michael Milken, Conrad Black)
  • Historical pardons (Jack Johnson, Susan B. Anthony)
  • Drug offense commutations (Alice Johnson advocacy cases)
  • Total Recipients: 500+ individual records across both terms
  • Categories: January 6, Political, Business, Corruption, Drug-related, Anti-Abortion, Military, Celebrity
  • Restitution Waived: $200+ million in financial penalties forgiven
  • Geographic Scope: Cases from all federal districts
  • 📱 Mobile-responsive design - Works perfectly on all devices
  • 🔍 Advanced search & filtering - By name, offense, category, date, amount
  • 📈 Real-time statistics - Live counts and totals for each presidency
  • 📊 Interactive demographics - January 6th defendant analysis
  • 🎨 Dark theme optimized for readability
  • ⚡ Fast loading with client-side filtering
  • 🗂️ Three-tab navigation - Second Term | First Term | Demographics
  • Comprehensive demographics of January 6th defendants
  • Employment patterns (24.7% business owners, 17.2% blue collar)
  • Geographic distribution across 47 states
  • Financial hardship correlation with violent behavior
  • Political affiliation tracking
  • Conviction success rates (99.4% for Jan 6 cases)
  • Cross-presidency comparison capabilities

Desktop View Three-tab interface with comprehensive data tables

Desktop View with Filtering Advanced filtering and search interface

Desktop Filtered View Filtered results with active search parameters

Mobile View

Fully responsive mobile design with touch-friendly interface

Mobile Filter Interface

Touch-optimized mobile filter controls

Both CSV files follow the same schema for consistency:

Name,Date,Type,Category,Offense,Original_Sentence,Restitution_Amount,Political_Party,Court,Notes
  • Name: Individual or group name
  • Date: Date clemency was granted (YYYY-MM-DD)
  • Type: "Pardon" (full forgiveness) or "Commutation" (sentence reduction)
  • Category: January 6, Political, Business, Corruption, Drug, Anti-Abortion, Military, Celebrity, etc.
  • Offense: Criminal charges and convictions
  • Original_Sentence: Prison term before clemency
  • Restitution_Amount: Financial penalties waived (in dollars)
  • Political_Party: Republican, Democrat, Unknown
  • Court: Federal district court of conviction
  • Notes: Additional context and significance

📋 Notable Cases by Presidency

Second Term Highlights (2025+)

Ross Ulbricht - January 21, 2025

  • Offense: Narcotics distribution, money laundering (Silk Road marketplace)
  • Original Sentence: Life without parole
  • Significance: Campaign promise to Libertarian supporters

Todd & Julie Chrisley - May 28, 2025

  • Offense: Bank fraud, tax evasion ($36M scheme)
  • Original Sentences: 12 years (Todd), 7 years (Julie)
  • Significance: Reality TV stars, daughter lobbied at RNC

January 6th Mass Clemency - January 20, 2025

  • Date: Inauguration Day
  • Scope: ~1,500 defendants pardoned or had sentences commuted
  • Impact: Ended largest domestic terrorism prosecution in US history

First Term Highlights (2017-2021)

Michael Flynn - November 25, 2020

  • Offense: False statements to FBI
  • Significance: Former National Security Adviser, Mueller investigation

Paul Manafort - December 23, 2020

  • Offense: Tax fraud, bank fraud, conspiracy
  • Original Sentence: 7.5 years
  • Significance: Former Trump campaign chairman

Alice Johnson - June 6, 2018 (Commutation) / August 28, 2020 (Pardon)

  • Offense: Nonviolent drug conspiracy
  • Original Sentence: Life without parole
  • Significance: Kim Kardashian advocacy, became Trump's clemency adviser

📊 Demographics Analysis

January 6th Defendants Profile

Based on Seton Hall University research of 716 first-wave prosecutions

Employment Status (430 verified)

  • 24.7% Business owners (106)
  • 17.2% Blue collar workers (74)
  • 8.8% White collar workers (38)
  • 8.1% Unemployed (35)
  • Florida: 11.5% (82 defendants)
  • Pennsylvania: 8.9% (64 defendants)
  • Texas: 8.8% (63 defendants)
  • New York: 7.4% (53 defendants)
  • California: 7.3% (52 defendants)
  • Total: 47 states represented

Financial Hardships (140 of 716)

  • 19.6% experienced financial distress
  • 16.3% had judgments/liens
  • 15.5% faced foreclosures/evictions
  • 9.8% filed for bankruptcy
  • Key Finding: 42% of financially distressed engaged in violence
  • Gender: 81.3% male, 12.7% female
  • Race: 92% white, 8% other ethnicities
  • Criminal History: 22.2% had prior convictions
  • Armed: 25% came armed to Capitol
  • Law Enforcement/Military: 18.5% background

🛠️ Technical Implementation

  • HTML5 with semantic structure and accessibility features
  • CSS3 with modern flexbox/grid layouts and responsive design
  • Vanilla JavaScript for optimal performance
  • Progressive enhancement approach
  • Mobile-first responsive design philosophy
  • Dual CSV system for separate term data
  • Client-side filtering for instant search results
  • Real-time statistics calculation
  • Error handling and validation
  • Performance optimization for large datasets
  • Efficient DOM manipulation with minimal reflows
  • Debounced search to prevent input lag
  • Lazy data loading for improved initial load time
  • Optimized rendering for mobile browsers
  • Accessible navigation with keyboard support

🚀 Installation & Setup

Quick Start for GitHub Pages

The database is automatically deployed via GitHub Pages at: https://codeddarkness.github.io/taco_pardons/

# Clone the repository
git clone https://github.com/codeddarkness/taco_pardons.git
cd taco_pardons

# Serve locally (any HTTP server)
python -m http.server 8000
# OR
npx http-server
# OR
php -S localhost:8000

# Access via browser
# http://localhost:8000
  • Web Server: Any HTTP server (Apache, Nginx, Python, Node.js, etc.)
  • Browser: Modern browser with JavaScript enabled
  • Files: HTML file and CSV files must be served via HTTP (not file://)

No special configuration required. The application is entirely client-side and works with any web server capable of serving static files.

📊 Data Sources & Methodology

  1. Official Government Records

  2. Legal Documentation

    • Federal court records and sentencing documents
    • FBI statements of facts
    • DOJ press releases and indictments
  3. News Sources & Verification

    • Reuters, Associated Press, CNN, NBC News
    • Washington Post, New York Times
    • Specialized legal publications (Lawfare, Marshall Project)
  1. Academic Research

Data Verification Process

  • Cross-referencing multiple sources for accuracy
  • Court document validation where available
  • Timeline verification against official announcements
  • Regular updates as new clemency actions occur
  • Daily checks of official clemency announcements
  • RSS feeds from DOJ and White House
  • Court document tracking systems
# Add new entries to appropriate CSV file
# trump_pardons_csv.txt (Second Term)
# trump_pardons_first_term_csv.txt (First Term)

# Follow schema:
# Name,Date,Type,Category,Offense,Original_Sentence,Restitution_Amount,Political_Party,Court,Notes
  • CSV format validation
  • Duplicate detection
  • Field completeness checking
  • Source verification requirements

We welcome contributions to improve the database and analysis.

  1. Verify sources - Provide official documentation
  2. Follow schema - Match existing CSV format exactly
  3. Include citations - Link to source documents
  4. Test locally - Ensure website functions properly
  1. Fork the repository
  2. Create feature branch (git checkout -b feature/improvement)
  3. Test thoroughly - Verify mobile compatibility
  4. Submit pull request with detailed description
  • Use GitHub Issues for bug reports
  • Include browser version and device type
  • Provide steps to reproduce problems
  • Suggest improvements or corrections

This project is released under the MIT License - see the LICENSE file for details.

  • Database content is factual public information
  • Academic and journalistic use encouraged
  • Attribution appreciated but not required
  • Commercial use permitted under MIT terms

This database contains factual information about presidential clemency actions compiled from public sources. It is maintained for:

  • Educational purposes and public transparency
  • Academic research and policy analysis
  • Journalistic reference and fact-checking
  • Historical documentation of executive actions

Not intended for: Legal advice, official government use, or definitive legal determinations.

If you find errors or have additional verified information:

  1. Open a GitHub issue with source documentation
  2. Submit a pull request with corrections
  3. Email with official court documents or press releases
  • Check existing GitHub Issues
  • Review installation instructions
  • Verify browser compatibility (Chrome, Firefox, Safari, Edge)
  • Seton Hall University Center for Policy & Research
  • Professor Mark Denbeaux and research team
  • Department of Justice Office of the Pardon Attorney
  • Federal Bureau of Investigation for case documentation
  • Modern CSS Grid and Flexbox specifications
  • Vanilla JavaScript ES6+ features
  • Responsive design best practices
  • Multiple news organizations for cross-referencing
  • Legal journalists and court reporters
  • Open source intelligence communities
  • Government transparency advocates

Last Updated: June 9, 2025
Database Version: 2.2
Total Records: 500+
Next Update: Weekly (or as clemency actions occur)


This project demonstrates the power of public data transparency and the importance of tracking executive clemency actions across multiple presidencies. By making this information accessible and searchable, we contribute to government accountability and informed civic engagement.

联系我们 contact @ memedata.com