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新加坡政府親自做紅娘: 諾貝爾獎演算法配對,仲送禮券催拍拖| 愛情顧問解說

2026-10-06
新加坡政府親自做紅娘:諾貝爾獎演算法配對,仲送禮券催拍拖|愛情顧問解說
🌐 English version

Singapore's Government Plays Matchmaker: Nobel Prize-Winning Algorithm Pairs Singles and Hands Out Vouchers to Nudge Dating — A Love Advisor Explains

📰 What Happened

At the end of September, Singapore's Government Technology Agency (GovTech) launched an official dating service called FirstDate, initially open only to single civil servants aged 21 to 35, with applications closing on 5 October. Applicants must first log in through Singpass, Singapore's national digital identity system, to verify their identity; singles, widowed and divorced people are all eligible. The design itself makes one thing clear: it exists to screen out fake accounts and married people.

The matching process works like this: users complete a questionnaire covering interests, lifestyle habits, values and preferences, which may include religion, age, and even "deal-breakers." The system uses the Gale-Shapley stable matching algorithm and pairs you with just one person per cycle, along with a compatibility score, a short profile and a personal message from the other person — and note, a cycle does not always produce a match. Both sides receive an SMS and must decide whether to accept within 72 hours; only if both say yes are contact details exchanged, and personal information is visible only to the person you are matched with.

The origin of the service is actually rather interesting: it grew out of a GovTech annual hackathon, where the team was researching the question "what difficulties do people face when meeting someone new?" The original idea was to offer free meals, but the formal terms were changed to a "Date Quest" — a dating task such as trying a dish that neither person has eaten before, which may earn a third-party voucher on completion. However, the value and number of vouchers are decided by GovTech and may be allocated on a first-come, first-served basis, so a free meal is not guaranteed.

The background numbers are really the heart of this story: Singapore's resident total fertility rate fell from 0.97 in 2024 to 0.87 in 2025, and the number of births in 2025 fell below 30,000 for the first time in 60 years. This is not the government's first time playing matchmaker — it set up the Social Development Unit back in 1984 to encourage university-educated singles to socialise.

Public reaction has been polarised: some say the service discriminates against non-civil servants, while others criticise the age cap. Whether it will open up to the public after the trial is still undecided.

On the same day, Hong Kong's Legislative Council Panel on Manpower discussed 11 pro-natalist measures from the Policy Address. One lawmaker suggested partnering with the Jockey Club or commercial organisations to launch a "fertility lottery," under which babies born over the course of a year could win prizes of HK$1 million to HK$4 million. Deputy Chief Secretary for Administration Cheuk Wing-hing responded that prizes of hundreds of thousands to millions do carry some motivational pull, but that the resources of both the government and the Jockey Club are limited, and the commitment would be an "astronomical figure." Hong Kong's total fertility rate in 2024 was 0.733, and the number of births from mid-2025 to mid-2026 was 29,700.

👩‍💼 The Advisor's Take

① Governments playing matchmaker is nothing new — what is new is stepping directly into "matching"

Governments acting as matchmaker is hardly a novelty. Singapore set up the Social Development Unit back in 1984; Japan has government- and locally-subsidised kon-katsu (marriage-hunting activities); and South Korea and the Communist Youth League in mainland China have both run official matchmaking events. So the question is not "should the government do it," but "how deep should it go."

Where is the difference? The old model was about "creating occasions" — running social mixers, subsidising matchmaking fees — and in the end, who you picked and whether it worked out was still your own business. FirstDate is different: it steps directly into "screening and matching." A questionnaire decides who you are paired with, and the algorithm decides that you have only one choice this cycle. The government shifts from "venue provider" to "matchmaker."

Behind this shift lies an economic assumption — it treats singleness as a "market failure." In other words, being single is not because you don't want to date, but because "matching efficiency is too low": search costs are high, information is asymmetric, and suitable people are scattered across different circles, never seeing each other. So the government steps in and builds a central matching platform.

This is where we need to be clear about the essence of the Gale-Shapley algorithm. It was proposed by Gale and Shapley in 1962, and Shapley won the 2012 Nobel Memorial Prize in Economic Sciences for this contribution (together with Alvin Roth). Note carefully: what it pursues is not the "happiest match" but the "stable matching" — defined as a state where, once matching is complete, no pair of a man and a woman would both rather choose each other over their current partners. This mathematical property is beautiful, but it is something entirely different from "happiness."

So the first tension emerges: the government is using an algorithm designed to "prevent people from breaking apart" to tackle the question of "how to make things last."

② An algorithm can match "meeting" — it cannot match "being together"

The most worthwhile thing to unpack in this story is that "match success" and "relationship success" are two entirely different layers. The former is a technical problem, the latter a psychological one — and FirstDate only covers the first layer.

Psychological research consistently points to the same conclusion: the strongest predictor of whether a relationship lasts is not "how well the personality checklists align," but "how conflicts are handled" and "the quality of everyday interaction." Gottman's long-term tracking research is the classic example — from just a few minutes of videotaped interaction between a couple, he can predict with considerable accuracy whether they will divorce, based on the frequency of the "Four Horsemen" (criticism, contempt, defensiveness and stonewalling), rather than on whether their interests align.

So even if FirstDate achieves extremely high matching efficiency, at most it compresses the "meeting" step; the "being together" step — aligning values, attitudes to money, family expectations, conflict patterns — still has to be walked by the two people themselves. This also explains why so many couples "break up after a few dates": they didn't fail to find someone, but the compatibility score was high while their relationship skills were not yet ready.

More crucially, there are several flights of stairs between "matching success" and "fertility rate." To get from "matched successfully" to "a baby is born," you still have to pass through, at minimum: being together → deciding to marry → deciding to have children after marriage → how many children to have. Each step has its own attrition rate. Singapore's difficulty is not only that "singles can't find a partner," but also delayed marriage age, delayed childbearing after marriage, high child-rearing costs, and the large opportunity cost of women having children.

Breaking it down by case, the people this app actually helps are fewer than you might imagine:

  • Case one: genuinely want to date, but their circle is too narrow. Engineers, healthcare workers, shift workers, expatriates — their problem really is "not meeting people." Official matchmaking helps, because it addresses precisely the search cost.
  • Case two: date successfully, but don't want children. Matching cannot help at all. Their difficulty lies at the "having children" step, not the "meeting people" step.
  • Case three: don't even want to date. Economic pressure, prioritising personal freedom, seeing marriage as a burden — this group isn't "unable to find someone" but "not planning to look," and no matchmaking tool can reach them.

The government's policy assumption is that "dating → marriage → children" is a straight line; in reality these are three relatively independent decisions. Using an upstream tool to solve a downstream problem is a classic mismatch.

③ What Hong Kong should copy is not "playing matchmaker" but "lowering search costs"

Now look at Hong Kong. Hong Kong has no universal, real-name social identity platform — even "iAM Smart" has yet to achieve the penetration and trust of Singpass. And romantic preferences are among the most private kinds of data — religion, age limits, "deal-breakers" — so once the government holds this data, the threshold of public trust would be very high. The path of "the Hong Kong government building its own matchmaking app" therefore faces no small resistance.

But what this story is genuinely worth Hong Kong's reference is its underlying approach: a falling marriage rate cannot necessarily be solved by "handing out money" alone; you can also start from "matching efficiency." Hong Kong in fact has a large number of semi-official and non-profit organisations — social welfare agencies, professional bodies, alumni associations — and what they can do is "networking": not having the government hold personal data itself, but building a standardised, trustworthy, low-threshold channel for meeting people.

Compare this with Hong Kong's "fertility lottery" discussed the same day: the two approaches target two entirely different groups. Handing out HK$1 million to HK$4 million affects people who already intended to have children, because the money arrives only after they have made the decision; official matchmaking affects people who "genuinely want to date but can't find anyone." And neither scheme reaches the largest group — those who "do the maths and decide not to have children." What this group wants is not prize money, but housing, childcare, working hours and workplace protection for women.

To sum up in one line: Singapore's move is an "honest but limited" experiment. It acknowledges the pain points of singles, but it is using a "matching" tool to respond to a problem of "cost and values."

💡 What You Can Learn

First, don't mistake "being matched" for "being solved." The government or an app can help you meet someone, but no algorithm can help you be together. A high compatibility score only means the starting point is smooth; it does not mean you will go far. What truly determines the length of a relationship is how you argue, how you repair, and how you face reality together.

Second, too many choices numb you, but too few also causes problems. FirstDate's "one match per cycle" design targets swipe-culture fatigue — in psychology this is the "paradox of choice": with too many options, people find it harder to decide and less satisfied. But conversely, if the matching logic is mismatched with your real needs, you will mistakenly think "no one is right for me," when in fact "the system can't find the kind of person I want."

Third, be clear about what you want. If you are someone with a narrow circle who genuinely wants to date, this kind of official or semi-official matching is worth a try, because your problem really is "not meeting people." But if you are just following the crowd, you might as well save the spot for someone who genuinely needs it.

Finally, this story from Singapore actually reflects one thing: when a place has to mobilise the government, algorithms and vouchers to "nudge" people into dating, it shows that dating has shifted from something "natural" to something that "needs to be pushed." That signal is the most worthwhile thing for Hongkongers to pay attention to.

Talk to a LoveWise love advisor — if you also feel that it's not that you don't want to date, you just don't know where to meet someone, we can help you see clearly what you want 💕

📰 事件背景

新加坡政府科技局(GovTech)9 月底推出一個叫 FirstDate 嘅官方交友服務,暫時只開放畀 21 至 35 歲嘅單身公務員試用,申請期 10 月 5 日截止。申請人要先用 Singpass(新加坡嘅國家數碼身份系統)登入核實身份,單身、喪偶、離婚都合資格。呢個設計本身就講明咗一件事:佢要排除假帳戶同已婚人士。

配對流程係咁嘅:用戶要填一份問卷,涵蓋興趣、生活習慣、價值觀同偏好,當中可能包括宗教、年齡,甚至「不能接受嘅條件」。系統採用 Gale-Shapley 穩定配對演算法,每個周期只為你配對 1 位對象,附上相容度分數、簡介同對方嘅個人留言——要留意,每個周期唔一定有配對結果。雙方會收到短訊,須喺 72 小時內決定接唔接受;兩個人都答應,先會交換聯絡方式,個人資料只有配對對象睇得到。

服務嘅起源其實幾有趣:GovTech 年度黑客松,團隊當時研究嘅題目係「人們認識新對象時面對咩困難」。最初構想係提供免費餐飲,正式條款改咗做「Date Quest」約會任務,例如一齊試食雙方都未食過嘅菜式,完成之後可能獲第三方禮券。不過禮券價值同數量由 GovTech 決定,可能先到先得,所以唔保證一定請客。

背景數字先係呢單新聞嘅重點:新加坡居民總生育率由 2024 年嘅 0.97,跌到 2025 年嘅 0.87,2025 年出生人數更加係 60 年來首次少於 30,000。政府做紅娘唔係第一次,1984 年就成立過 Social Development Unit,鼓勵大學畢業嘅單身人士交友。

公眾反應兩極:有人話服務歧視非公務員,亦有人批評年齡上限;試行完會唔會開放畀公眾,暫時未有定案。

同一日,香港立法會人力事務委員會討論《施政報告》11 項鼓勵生育措施,有議員建議同馬會或商業機構合作,推「生育六合彩」——全年出生嘅嬰兒有機會獲 100 萬至 400 萬獎金。政務司副司長卓永興回應話,數十萬至數百萬嘅獎項有一定推動力,但政府同馬會資源有限,承擔額係「天文數字」。香港 2024 年總和生育率係 0.733,2025 年中至 2026 年中出生人數 29,700。

👩‍💼 顧問分析

① 政府做紅娘唔新鮮,新鮮嘅係佢今次直接插手「配對」

政府做紅娘,其實唔係新鮮事。新加坡 1984 年就成立過 Social Development Unit;日本有政府同地方補貼嘅「婚活」(婚活活動);韓國、內地共青團都辦過官方相親。所以問題唔係「政府應唔應該做」,而係「做到幾深」。

分別喺邊?以前嘅模式係「製造場合」——辦聯誼、補貼婚介費用,最後揀邊個、傾唔傾得成,始終係你自己嘅事。今次 FirstDate 唔同,佢直接參與「篩選同配對」:由問卷決定你被配到邊個,由演算法決定你今期只得一個選擇。政府由「場地提供者」變成「撮合者」。

呢個轉變背後有個經濟學假設——佢當單身問題係「市場失靈」(market failure)。即係話,單身唔係因為你唔想,而係「撮合效率太低」:搜尋成本高、資訊唔對稱、合適嘅人分散喺唔同圈子,互相見唔到。於是政府出手,做一個中央撮合平台。

呢度就要講清楚 Gale-Shapley 演算法嘅精髓。佢 1962 年由 Gale 同 Shapley 提出,Shapley 亦因為呢個貢獻(同 Alvin Roth)拎咗 2012 年諾貝爾經濟學獎。要留意:佢追求嘅唔係「最幸福嘅配對」,而係「穩定配對」(stable matching)——定義係配對完成之後,冇任何一對男女會同時覺得「我哋兩個比起現有對象,更想揀對方」。呢個數學性質好靚,但佢同「幸唔幸福」係兩件完全唔同嘅事。

於是第一個張力就出現咗:政府用一個「防拆散」嘅演算法,去處理一個「點樣先維繫得長」嘅問題。

② 演算法配到「相遇」,配唔到「相處」

呢單新聞最值得拆嘅,係「配對成功」同「關係成功」係兩層完全唔同嘅事。前者係技術問題,後者係心理問題——而 FirstDate 只覆蓋第一層。

心理學研究一路指向同一個結論:預測一段關係長唔長久,最強嘅指標唔係「性格清單吻合度」,而係「衝突處理方式」同「日常互動質素」。Gottman 嘅長期追蹤研究就係經典——佢可以喺幾分鐘嘅夫婦互動錄影入面,相當準確咁預測佢哋會唔會離婚,靠嘅係「四騎士」(批評、蔑視、防衛、築牆)出現嘅頻率,而唔係佢哋興趣夾唔夾。

所以就算 FirstDate 撮合效率極高,最多只係將「相遇」呢一步壓縮;「相處」呢一步——價值觀磨合、金錢觀、家庭期望、衝突模式——一樣要兩個人自己行。呢個亦解釋咗好多情侶「拍幾次就散」:唔係搵唔到,係配對分數高,但相處能力未準備好。

更關鍵嘅係:配對成功率同生育率之間,隔住好幾級樓梯。要由「配對成功」行到「嬰兒出生」,中間至少仲要經過:相處 → 決定結婚 → 婚後決定生 → 生幾個。每一級都有自己嘅流失率。新加坡嘅難題唔單止係「單身人士搵唔到對象」,仲包括結婚年齡推遲、婚後延遲生育、養育成本高、女性生育嘅機會成本大。

分情況睇,呢個 app 幫到嘅人,其實冇想像中咁多:

  • 情況一:真心想拍拖,但圈子太窄。 工程師、醫護、輪班工作、駐外人士,佢哋嘅問題真係「見唔到人」。官方配對幫到手,因為佢解決嘅正正係搜尋成本。
  • 情況二:拍得成拖,但唔想生。 配對完全幫唔到。佢哋嘅困難係喺「生」呢一步,唔係喺「識人」呢一步。
  • 情況三:連拍拖都唔想。 經濟壓力、個人自由優先、覺得婚姻係負累——呢群人唔係「搵唔到」,係「冇打算搵」,任何配對工具都接觸唔到佢哋。

政府嘅政策假設,係「拍拖 → 結婚 → 生仔」一條直線;但現實係三個相對獨立嘅決定。用上游工具去解下游問題,係典型嘅錯配。

③ 香港要抄嘅唔係「做紅娘」,而係「減搜尋成本」

睇返香港。香港冇一個全民嘅實名社交身份平台,即使「智方便」都未做到 Singpass 咁嘅滲透率同信任度。而感情偏好係最私密嘅一類資料——宗教、年齡上限、「不能接受嘅條件」——政府一旦握住呢啲資料,公眾信任門檻會非常高。所以「香港政府自己搞配對 app」呢條路,阻力唔細。

但呢單新聞真正值得香港參考嘅,係佢個思路:結婚率跌,唔一定淨係「派錢」可以解,仲可以從「撮合效率」落手。香港其實有大量半官方同非牟利機構——社福機構、專業團體、校友會——可以做嘅係「聯網」:唔使政府自己掌握個人資料,而係建立一個標準化、可信、低門檻嘅相遇渠道。

對比返香港當日討論嘅「生育六合彩」:兩種思路處理嘅係兩個完全唔同嘅人群。派 100 萬至 400 萬,影響到嘅係「已經打算生」嘅人,因為錢係喺佢哋決定之後先到手;官方配對,影響到嘅係「真心想拍拖但搵唔到」嘅人。而兩個方案都覆蓋唔到最大嗰一群——「計完數之後決定唔生」嘅人。呢群人要嘅唔係獎金,係住屋、託兒、工時、女性職場保障。

一句總結:新加坡呢步,係一個「誠實但有限」嘅實驗。佢承認咗單身人士嘅痛點,但用嘅係一個「撮合」嘅工具,去回應一個「成本同價值觀」嘅難題。

💡 普通人啟示

第一,唔好將「配對」當成「解決」。 政府或者 app 可以幫你遇見人,但冇任何演算法可以幫你相處。相容度分數高,只代表起點順暢,唔代表行得遠。真正決定關係長短嘅,係你哋點拗交、點修補、點一齊面對現實。

第二,選擇太多令人麻木,但太少都會出事。 FirstDate「一期只配一個」嘅設計,係針對 swipe 文化嘅疲勞——心理學叫「選擇悖論」(paradox of choice):選項太多,人反而更難決定、更唔滿足。但反過來,如果配對邏輯同你真實需要錯配,你會誤以為「冇人啱我」,其實係「系統搵唔到我想要嘅人」。

第三,想清楚自己要咩。 如果你係圈子窄、真心想拍拖嘅人,呢類官方或半官方配對值得試,因為你嘅問題真係「見唔到人」。但如果你只係跟風,不如慳返個位,俾真正需要嘅人。

最後,新加坡呢單新聞其實照出咗一件事:當一個地方要動用政府、演算法、禮券去「催」人拍拖,就說明「拍拖」呢件事,已經由「自然而然」變成「需要被推動」。呢個訊號,先係最值得香港人留意嘅地方。

搵 LoveWise 嘅愛情顧問傾下,如果你都覺得自己「唔係唔想拍拖,只係唔知喺邊度遇到人」,我哋可以陪你睇清楚自己想要咩 💕

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