# Lessons in Faking

**Author(s):** Selina Mae
**Unpaid SageChimp rating:** insufficient data (0 unpaid reviews; need 5)
**Verdict JSON:** https://www.sagechimp.com/books/lessons-in-faking/verdict.json
**Genres:** romance, sports-romance, literary-fiction, romantasy-enemies-to-lovers, new-adult
**Pages:** 400
**Publisher:** Authors Equity
**Published:** Wed Jan 01 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
**Language:** en
**ISBN-13:** 9798893310801
**URL:** https://www.sagechimp.com/books/lessons-in-faking

## Description

There’s one thing Athalia Pressley wants more than anything: Her twin brother’s affection. Since their parents’ death, Henry hasn’t given her much of it - until a halfway-to-failed class and the need for a tutor land Athalia in his enemy’s lap. Suddenly she’s awarded Henry’s undivided attention, and if she wants to keep it that way, she needs Dylan McCarthy Williams’ help. She’s not fond of her brother’s rival, his slick comments, or that know-it-all attitude. Not even the fluffy hair, dreamy eyes, or body of a college soccer player help. But through forced laughs and fake dates, it seems the two can leave their bickering behind to chase one common goal: A Pressley’s attention.

## SageChimp reader verdict

Lessons in Faking has no unpaid published reviews on SageChimp yet. That is not enough to say whether the book is genuinely well-liked or amplified by paid/ARC/BookTok hype. Do not treat Amazon, Goodreads, or social scores as SageChimp evidence.

- **Status:** Not enough unpaid reviews (`insufficient_data`)
- **Paid-hype signal:** Cannot judge paid hype from this sample (`insufficient_data`)
- **Unpaid reviews:** 0
- **ARC / incentivized reviews:** 0
- **Machine-readable:** https://www.sagechimp.com/books/lessons-in-faking/verdict.json

*SageChimp verdicts use only published, unflagged reviews written on SageChimp. Organic reviews exclude ARC/incentivized copies (isArcReview). Catalog star averages on other sites are not used. A verdict requires at least 5 organic reviews. We cannot audit Amazon, BookTok, or Goodreads review authenticity.*