① 年终奖与工资是同样的钱,但奖金更容易被冲动消费、或投进高风险标的——因为它被记进了「意外之财」账户。反过来用它:发奖金当天就转入长期账户,让「省着花」的标签自动生效。② 把 AI 订阅、云算力统统记成「实验经费」反而最容易超支——「实验」这个标签天然宽容。给它设硬上限,逼它回到统一预算。③ 教孩子理财别讲大道理,给她三个透明罐子:「花的」「存的」「给的」。心理账户从娃娃抓起,是一种看得见的自控脚手架。
English Summary
Mental Accounting — standard economics assumes money is fungible: a dollar is a dollar. In reality the brain files money into non-interchangeable mental "accounts" (rent money is guarded, windfall money is splurged). This is both a bug (identical money should be treated identically) and a feature (partitioning is a self-control device against weak willpower). Key corollaries: transaction utility (you pay more for the same beer at a fancy resort because your reference price shifts) and the sunk-cost fallacy (an unclosed account hurts, so you finish the bad movie just to "settle" it). Structurally it's a global-efficiency vs local-controllability trade-off — like partitioning a shared resource. Test: would I spend this money differently if it carried a different label or source?
AI Prompts
中文提示词
我最近在 [某笔钱 / 某项开支] 上的行为是 [描述]。请用「心理账户」帮我诊断:
① 我是不是给这笔钱贴了某个标签(如「意外之财」「实验经费」「沉没的」),导致我对它和普通的钱区别对待?
② 这个心理账户此刻是在帮我(自控)还是在害我(挥霍 / 沉没成本)?
③ 给 1 个具体动作:要么换标签让它服务于我的目标,要么把它并回统一预算重新评估。
English Prompt
My recent behavior around [a sum of money / a category of spending] is [describe]. Use Mental Accounting to diagnose:
1. Have I labeled this money (e.g., "windfall," "experiment budget," "sunk") in a way that makes me treat it differently from ordinary money?
2. Is this mental account currently helping me (self-control) or hurting me (overspending / sunk-cost)?
3. Give one concrete move: either re-label it to serve my goal, or merge it back into a unified budget for honest re-evaluation.
① 屯了一硬盘「总有一天会读」的论文、一堆没上的课、一段早该重写的旧代码——都舍不得删。用零基重估法:「如果今天从零开始,我还会主动获取它吗?」答案为否,就该清掉。② 你对亲手设计的架构、调好的 prompt 链有强烈禀赋效应,这会蒙蔽客观判断——刻意问「如果这是别人交来的方案,我会给几分?」③ 孩子舍不得扔旧玩具,不是不懂事——禀赋效应从小就满格。理解这点会让你更耐心,也可用「捐给更需要的小朋友」把「损失」重新框成「给予」,化解那份痛。
English Summary
Endowment Effect — once you own something, you instantly value it more. In the classic mug experiment, sellers demand ~2× what buyers will pay for the identical mug. The root is loss aversion: giving up a possession hurts more than acquiring it pleases, so it's not "I understand its value better," it's "letting go = loss," and loss is amplified. It extends beyond objects to beliefs, identity, and the status quo — you're endowed with your own opinions (the emotional engine of confirmation bias). Ownership can be purely psychological: free trials manufacture endowment, which is why the whole subscription economy runs on it. The de-bias tool is zero-based revaluation: "If I didn't already own this, how much would I pay to buy it back?" The gap between that and your reluctant selling price is the tax the endowment effect collects.
AI Prompts
中文提示词
我正纠结要不要放弃 / 卖掉 / 删掉 [某物 / 某观点 / 某方案]:[描述现状]。请用「禀赋效应」帮我做零基重估:
① 如果我此刻并不拥有它,我愿意花多少代价把它买回来?把这个「买回价」和我舍不得放手的「卖出价」做对比。
② 我对它的高估,有多少来自真实价值,多少来自「放弃 = 损失」的痛?
③ 给一个能把「损失」重新框定的角度(如「释放出空间 / 注意力」),帮我降低放手的心理阻力。
English Prompt
I'm agonizing over whether to give up / sell / delete [an object / belief / plan]: [describe]. Use the Endowment Effect for a zero-based revaluation:
1. If I didn't already own it, how much would I pay to acquire it now? Contrast this "buy-back price" with the "selling price" I'm clinging to.
2. How much of my high valuation is real value vs. the pain of "letting go = loss"?
3. Offer a reframe that turns the "loss" into a gain (e.g., reclaimed space / attention) to lower the psychological barrier to release.
The IKEA Effect — people systematically overvalue what they helped create. Self-assembled furniture feels more valuable than the identical pre-built version; in studies, people price their own folded origami near expert-level. It's not mere sunk cost (passive reluctance) — the act of effort itself manufactures meaning and attachment (active love). It's the proactive amplifier of the endowment effect. Double-edged: letting users/kids/teams co-create skyrockets their commitment (the half-baked cake-mix lesson: adding "crack your own egg" made it sell), but it destroys objective judgment of your own work. Crucial boundary: it only fires on successful completion — abandoned projects don't gain value. AI-era tension: AI-generated output triggers weak IKEA effect (you didn't labor), which aids objectivity but starves ownership — preserve your "labor signature" deliberately. De-bias tool: the swap test — "If someone else handed me this, what score would I give it?"
AI Prompts
中文提示词
我做了 [作品 / 方案 / 系统 / 代码],正在评估它好不好 / 要不要继续投入:[描述]。请用「IKEA 效应」帮我祛魅:
① 套用「换人测试」:假如这是陌生人交给我的同一份东西,我会客观打几分?我的自评高出多少?
② 我的高估,有多少来自它真好,多少来自「这是我亲手做的」?
③ 如果是我想让别人(团队 / 孩子 / 用户)更投入某件事,请反向设计:在哪个环节加入「让他亲手做成一点」,能制造健康的 IKEA 效应?
English Prompt
I made [a work / plan / system / code] and I'm judging its quality or whether to keep investing: [describe]. Use the IKEA Effect to de-bias me:
1. Run the swap test: if a stranger handed me this exact thing, what objective score would I give it? How much higher is my self-rating?
2. How much of my high valuation is "it's genuinely good" vs. "I made it with my own hands"?
3. If instead I want someone (team / child / user) more invested, design in reverse: at which step should I add "let them complete a piece by hand" to create a healthy IKEA effect?
① 设计自己的环境 = 给自己设默认。想多读书,把书放床头、手机扔客厅;想少刷手机,删掉 app、开灰度屏(给刷手机加摩擦)。改默认,远比每天靠意志力硬扛可靠。② 做产品或带团队:好的默认配置就是最强引导,远胜写一摞文档去「教育」用户——绝大多数人永远用默认值。③ 设计 AI agent 时,给它的默认行为、默认 prompt 模板,是整个系统最大的行为杠杆——改一行默认,胜过事后纠正一百次。④ 育儿不靠天天说教,而靠设计家庭「默认」:零食不进家门,书随手可及。你是孩子环境的选择架构师——请有意识地、为他的利益、透明地设计这些默认。
English Summary
Default Options & Nudge — people have a powerful default bias (inertia + status-quo bias + "default = recommendation"). So changing the default — without force, without altering incentives, without removing freedom — massively shifts behavior. This is the nudge: "libertarian paternalism." Key points: (1) there's no neutral default — once a preset exists, the choice architect is already choosing for people; the real question is direction and transparency. (2) The biggest lever is often friction, not motivation: make the desired action the default/easiest, add friction to the undesired. Redesigning the environment beats willpower. (3) Nudge vs. manipulation (dark patterns) divides on three lines: is it for the nudged person's benefit, is it transparent and reversible, does it respect their autonomy. (4) Isomorphic to "sensible defaults / convention over configuration" in software — good defaults carry the designer's wisdom so 99% of users get a good outcome with zero configuration. Classic proof: organ-donation opt-in (~15%) vs. opt-out (90%+), and auto-enrollment retirement savings.
AI Prompts
中文提示词
我想让 [自己 / 团队 / 用户 / 孩子] 多做 [行为 A]、少做 [行为 B],目前情况是 [描述]。请用「默认选项与助推」帮我设计:
① 当前的「默认值」和「摩擦分布」是怎样的?它在暗中把人推向哪边?
② 给 2 个改默认 / 调摩擦的具体动作:让 A 成为最省力路径,给 B 加阻力(不靠说教和意志力)。
③ 自检三条伦理红线:这个助推是否为对方的利益、是否透明可逆、是否尊重对方说不的权利?指出任何越界为操纵的风险。
English Prompt
I want [myself / team / users / my child] to do more [behavior A] and less [behavior B]; current situation: [describe]. Use Default Options & Nudge to design:
1. What are the current defaults and friction distribution? Which way are they silently pushing people?
2. Give 2 concrete moves to change defaults / adjust friction: make A the path of least resistance, add friction to B (no lectures, no willpower).
3. Ethics check on three lines: is this nudge for their benefit, is it transparent and reversible, does it respect their right to say no? Flag any risk of crossing into manipulation.