作者為了享受優惠而加入了麥當勞的忠誠計畫，隨後依法向該公司索取了個人資料，結果收到一份長達515頁的詳細檔案。這份報告不僅記錄了作者每一次的消費時間、地點與購買品項，甚至還包含了過去參與抽獎活動的詳細歷史。專家指出，這種程度的商業監控在美國大型企業中相當常見，但消費者往往在註冊時並未完全意識到其資料被廣泛收集的程度。

最令作者擔憂的並非資料的龐大數量，而是這些數據如何被麥當勞的預測演算法加以利用。系統不僅預測了作者未來六週內的造訪次數與花費金額，還精準地歸納出其核心消費習慣，例如常點大杯健怡可樂以及將其定位為「匆忙享用午餐」的顧客。這種透過人工智慧長期整合並分析零碎日常行為的做法，描繪出了一幅極具侵入性且精確的個人生活輪廓。（關鍵數字： six weeks）

面對消費者與擁有強大科技資源的企業間嚴重的不對等權力關係，隱私權專家呼籲企業應在用戶註冊時提供更具體且易懂的資料使用說明。在查閱完這份令人毛骨悚然的數據報告後，作者決定行使權利要求麥當勞刪除所有儲存的個人資料。此外，為了打破演算法對其生活習慣的精準預測，作者也決心徹底戒除吃麥當勞的習慣。

The author joined McDonald's loyalty program for discounts and later legally requested their personal data from the company, receiving a detailed 515-page file. This report documented not only the time, location, and items of every purchase, but also detailed histories of past sweepstakes participation. Experts note that this level of commercial surveillance is common among large US corporations, though consumers often fail to fully realize the extent of data collection when signing up.

What concerned the author most was not the sheer volume of data, but how it was utilized by McDonald's predictive algorithms. The system forecasted the author's visit frequency and spending over the next six weeks while accurately categorizing their core habits, such as frequently ordering large Diet Cokes and labeling them as a customer who grabs lunch in a rush. This practice of aggregating and analyzing fragmented daily behaviors through AI over time creates a highly invasive and precise profile of a person's life.

Given the severe power imbalance between individual consumers and highly resourced tech-driven companies, privacy experts urge businesses to provide highly detailed and understandable disclosures during the sign-up process. After reviewing this unsettling data report, the author decided to exercise their right to request that McDonald's delete all stored personal information. Furthermore, to break the algorithm's precise prediction of their lifestyle habits, the author resolved to stop eating at McDonald's entirely.