Copyright and rights

Published

December 27, 2025

Modified

December 28, 2025

Keywords

A/B Testing, Causal Inference, Causal Time Series Analysis, Data Science, Difference-in-Differences, Directed Acyclic Graphs, Econometrics, Impact Evaluation, Instrumental Variables, Heterogeneous Treatment Effects, Potential Outcomes, Power Analysis, Sample Size Calculation, Python and R Programming, Randomized Experiments, Regression Discontinuity, Treatment Effects

Everyday Causal Inference
Copyright © 2025 by Robson Tigre. All Rights Reserved.

I. Intellectual property assertion

The content of this book, including but not limited to the literary text, statistical methodologies, causal diagrams, custom code snippets, and original illustrations, is the exclusive intellectual property of the author, Robson Tigre, except where third-party rights are expressly noted. The moral rights of the author to be identified as the creator of this work are asserted in accordance with applicable copyright laws and international treaties.

II. Explicit prohibition on AI training

Warning: No AI rights granted.
Without limiting the author’s exclusive rights under copyright law, any use of this publication, its text, code, images, or metadata to “train,” “fine-tune,” “ground,” or otherwise develop generative artificial intelligence (AI) technologies, machine learning models, large language models (LLMs), or automated text generation systems is strictly prohibited without the author’s explicit, prior written consent.

This reservation of rights applies to all forms of text and data mining (TDM), web scraping, and automated ingestion.

  • For US jurisdictions: The use of this work for AI training is expressly excluded from any “Fair Use” interpretation.
  • For EU jurisdictions: In accordance with Article 4(3) of the Directive (EU) 2019/790 on Copyright in the Digital Single Market, the author expressly reserves the use of this work for text and data mining.
  • For all other jurisdictions: The author explicitly reserves all rights and does not grant any implied license for text or data mining under any local copyright exception.

III. Permitted uses for human readers

While commercial exploitation and automated harvesting are prohibited, the author grants a permissive license to human readers to foster the open exchange of knowledge regarding causal inference. You may:

  • Read and learn: Access and read the content for your own learning and professional practice.
  • Share links: Share links to the official versions of the book (e.g., the official website or publisher links).
  • Quote excerpts: Cite and quote short excerpts for academic, professional, or educational purposes, provided you clearly credit the source (e.g., “Tigre, Robson. Everyday Causal Inference”).
  • Use diagrams: Use figures and diagrams created by the author in presentations or teaching materials, provided you keep attributions intact and do not modify them to misrepresent the original idea.
  • Use code and data: Freely use the code snippets and datasets to practice or adapt them for your own professional projects (see Section IV for details).

IV. License for code and usage

The code snippets, pseudo-code, and example data provided herein are for educational experimentation. You are granted a non-exclusive, non-transferable license to use, modify, and execute the code for personal learning or professional analysis, provided that:

  1. Attribution: You provide reasonable attribution where visible (e.g., “Based on examples from Everyday Causal Inference by Robson Tigre”).
  2. No competition: The code is not used to create a competing educational product, commercial training dataset, or standalone library marketed as “Everyday Causal Inference” code.
  3. No warranty: All code is provided “as is”, without warranty of any kind. You are responsible for validating it for your specific use case.

V. Prohibited uses

Unless you have explicit prior written permission from the author, you may not:

  • Re-host: Upload, host, or mirror the full book (or large portions of it) as PDF, HTML, EPUB, or any format on your own site or repository.
  • Commercial derivative works: Create and sell derivative products based primarily on this content (e.g., paid courses or repackaged e-books).
  • Remove notices: Remove or alter copyright notices, attributions, or legal statements.

VI. Disclaimer of warranty and limitation of liability

Please read carefully: This book is provided for informational and educational purposes only. The statistical methods, code, and causal inference strategies contained herein are provided on an “as is” and “as available” basis, without warranty of any kind, either express or implied.

To the maximum extent permitted by applicable law, the author and publisher specifically disclaim all warranties, including but not limited to implied warranties of merchantability, fitness for a particular purpose, and non-infringement.

No professional advice: The contents of this book do not constitute legal, financial, or professional statistical consulting. The application of causal inference to real-world data carries inherent risks. The author shall not be liable for any direct, indirect, incidental, special, consequential, or exemplary damages resulting from the use or inability to use the methods described in this book. You assume full responsibility for any decisions made or actions taken in reliance on the information contained herein.

VII. Governing law and jurisdiction

These terms and any dispute arising out of or in connection with this book shall be governed by and construed in accordance with the laws of Brazil. You agree that the courts of Recife, Pernambuco shall have exclusive jurisdiction to settle any dispute or claim arising out of or in connection with this work.

VIII. Severability

If any provision of this legal notice (particularly regarding AI prohibition) is found to be unenforceable or invalid under applicable law, that provision shall be limited or eliminated to the minimum extent necessary so that this legal notice shall otherwise remain in full force and effect. The remaining provisions regarding copyright assertion, liability limitation, and permissive human use shall continue to be valid.