简体中文
繁體中文
English
Pусский
日本語
ภาษาไทย
Tiếng Việt
Bahasa Indonesia
Español
हिन्दी
Filippiiniläinen
Français
Deutsch
Português
Türkçe
한국어
العربية
Free Book Gifting to HK$26 Million Gone: Scammers Are Now Playing the Long Game
Abstract:What began as a seemingly harmless offer of a complimentary book on social media ended in financial ruin for a 63 year old Hong Kong woman who lost more than HK$26 million over the course of several months.

What began as a seemingly harmless offer of a complimentary book on social media ended in financial ruin for a 63 year old Hong Kong woman who lost more than HK$26 million over the course of several months. The case has since been taken up by the Wan Chai District crime squad and classified as obtaining property by deception, and it offers a disturbing window into the calculated psychological architecture behind modern investment fraud.
The ordeal began in September last year when the victim, identified by the surname Tse, came across a Facebook post advertising free books. She requested a copy and received it the following month. Shortly afterward, she was invited to join a Line messaging group positioned as a forum for investment discussion. Within this group, an individual presenting themselves as a professional investment consultant from a Taiwanese firm began sharing stock trading tips and encouraging participants to invest in Taiwanese and American equity markets through a dedicated mobile application.
Over the months that followed, Tse was steadily encouraged to increase her exposure to the scheme. The platform appeared entirely functional. Charts moved in real time, her account balance climbed, and the overall experience was engineered to simulate legitimacy at every step. Between November last year and April this year, she conducted 26 separate cash handovers totalling around HK$25 million, plus a gold bar valued at approximately HK$430,000. Each exchange took place at a street location in Causeway Bay, with a different individual collecting the money each time — a deliberate pattern designed to make the operation appear routine.
The deception only came apart when Tse attempted to withdraw her accumulated funds and found she could not do so. Seeking answers, she contacted the actual Taiwanese investment firm whose name and reputation had been used by the so called expert — only to be told the company had no knowledge of the mobile application or the scheme in question. She realised she had been defrauded of everything and filed a report with police.
The scale of the loss is staggering, but what makes this case particularly instructive is the methodical precision of the deception. The fraudsters exploited multiple psychological mechanisms in sequence: the goodwill established by a free gift, the social credibility of a group investment environment, the implied legitimacy of a real company's identity, and the gradual escalation of financial commitment that made it progressively harder for the victim to question what was happening.
This type of fraud is known in cybersecurity circles as a long con investment scheme, where victims are carefully cultivated over extended periods, given the impression of growing profits, and then stripped of their capital when they attempt to exit. The process can span many months, as it did here, which is precisely what makes these cases so difficult to detect and so devastating when the truth emerges.
Hong Kong authorities have flagged a sharp upward trend in cases fitting this pattern. In 2025, police recorded over 5,100 online investment fraud incidents, a steep rise compared to the prior year, with scammers reaching the vast majority of their victims through social media platforms or messaging applications.
The public is strongly advised to treat unsolicited investment opportunities with extreme scepticism regardless of how they arrive. Any investment platform or financial advisor should be independently verified through official regulatory channels before any funds are committed.

Disclaimer:
The views in this article only represent the author's personal views, and do not constitute investment advice on this platform. This platform does not guarantee the accuracy, completeness and timeliness of the information in the article, and will not be liable for any loss caused by the use of or reliance on the information in the article.

