从算命到 MBTI：我们为什么总想给自己找一个解释？From Fortune-Telling to MBTI: Why We Keep Looking for an Explanation of Who We Are
从 AI 算命到 MBTI，这篇文章把命理系统、人格标签和 AI 生成的解释放在一起观察：我们为什么渴望一种关于自己的解释，“解释得很好”为什么不等于“解释得很对”，以及如何在面对未知时保留一点独立思考的空间。From AI fortune-telling to MBTI, this piece puts destiny systems, personality labels, and AI-generated explanations side by side: why we keep longing for an explanation of ourselves, why a well-crafted explanation is not the same as a correct one, and how to keep a little room for independent thinking when facing the unknown.
- 命理文化
- MBTI
- 巴纳姆效应
- AI 素养
- 自我认知
- Fortune-Telling Culture
- MBTI
- Barnum Effect
- AI Literacy
- Self-Perception
命运观察所 001｜社会观察
一边说着“我命由我不由天”，一边打开 AI 算命。我们究竟是在预测未来，还是在寻找一种理解自己的方式？
最近，在一些科技交流活动中，注意到一种挺有意思的产品方向：AI 算命。
原本属于传统命理领域的八字、五行、运势，如今被放进了网页、小程序和对话式 AI 中。填写出生信息，等待几秒钟，就可能得到一份关于性格、事业、财运和婚姻的分析报告。
这件事本身就很有趣。
同样一组出生信息，如果分别交给 ChatGPT、DeepSeek、豆包，会得到一样的分析吗？
如果结果不同，应该相信谁？如果结果相同，又是否意味着它们真的算得准？
带着这些问题，再去观察小红书、抖音上的相关内容，会发现围绕八字、星座、塔罗、手相和 MBTI 的讨论相当丰富。
有人认真研究自己的十神和大运，有人寻找所谓的正缘年份，有人分享 AI 算命的结果，也有人开始比较不同模型给出的解释。
当然，刷到大量相关内容，并不意味着所有年轻人都热衷算命。推荐算法本身就可能不断放大用户已经表现出的兴趣。
但这种现象仍然值得思考。
一方面，我们越来越强调个人选择、自我实现和独立思考。
“我命由我不由天”，几乎成了一种熟悉的人生态度。
另一方面，人们又不断借助各种命理系统和人格分类，试图寻找关于自己的答案。
为什么我们一边相信人生可以由自己决定，一边又如此好奇命运究竟会怎样安排？
01. 一个古老的问题，被重新做成了产品
算命并不是新鲜事物。
从中国传统的八字、紫微斗数、面相、手相，到西方的占星术、塔罗牌，不同文化都发展出了各自解释命运的方式。
但技术正在改变人们接触这些内容的过程。
过去，了解八字可能需要翻阅资料、查找万年历，或向熟悉传统命理的人请教。
现在，输入出生日期、时间和地点，就可能得到一份结构完整的分析。
更重要的是，它不再只是一次性的解读。
用户可以继续追问：
为什么这样判断？
未来几年会有什么变化？
适合在哪座城市发展？
如果换一个职业方向，结果会不会不同？
AI 可以根据后续问题不断补充解释，甚至把分析整理成图表、时间轴和个人报告。
从产品设计的角度看，这套体验其实很完整。
用户有明确的问题，产品有相对简单的输入方式，系统能够快速生成结果，还可以通过连续对话延长探索过程。
而且，用户提出的往往不是普通的信息查询需求。
人们关心的，是事业、财富、婚姻、健康，以及尚未发生的人生。
这些问题重要，却很难得到确定的答案。
技术改变了获得解释的方式，却没有改变人类对未知的好奇。
02. 如果三个 AI 算出了三种命运，应该相信谁？
这是 AI 命理产品里特别值得研究的一个问题。
假设把完全相同的出生信息交给三个模型。
一个认为适合管理工作，一个更推荐技术研究，另一个认为适合自主创业。
那么，究竟哪个更准确？
如果三个模型给出了相似的结论，又是否意味着这个结论得到了验证？
这里其实混合了两种不同的事情。
第一种是计算。
例如，某个出生日期对应什么天干地支，节气如何影响月份的划分，是否需要考虑出生地与真太阳时。
这些属于历法和时间计算问题，可以根据明确规则进行核验。
第二种是解释。
某种八字组合是否代表事业成功、婚姻幸福，或者某一年容易获得财富？
这类人生预测并没有可靠的科学证据支持。
也就是说，AI 即使正确计算出了八字，也不代表它能够预测一个人的未来。
而生成式 AI 恰好非常擅长另一件事：把信息组织成流畅、完整、听起来合理的叙述。
它可以将五行、十神、大运等概念组合成一份层次分明的报告，让原本复杂的解释变得容易理解。
但一段话写得有逻辑，不代表它的结论已经得到证实。
多个模型给出相似的回答，也可能只是因为它们接触过相似的公开资料，或者采用了相近的解释框架。
这让人想到一个更普遍的问题：
当 AI 越来越擅长解释世界时，我们会不会把“解释得很好”误认为“解释得很对”？
03. 我命由我不由天，但也想偷偷看看剧本
有时候，现代人的行为看起来相当矛盾。
我们强调自由选择，希望摆脱既定规则，不愿意被家庭、职业、身份或某种标签定义。
但与此同时，又对命理、星座和人格测试抱有浓厚兴趣。
有人研究适合自己的职业，有人查询感情运势，还有人想知道自己未来适合在哪里生活。
如果相信人生掌握在自己手里，为什么还要预测命运？
也许，这两种态度本来就不完全冲突。
希望自己能够改变未来，与希望提前获得一点关于未来的信息，可以同时存在。
现实生活中，很多决定都没有标准答案。
选择一份工作，不一定能预测它五年后的发展。
决定与一个人建立关系，也无法保证未来一定幸福。
即使已经认真收集信息、分析利弊，仍然可能不知道哪条路更好。
理性分析可以帮助人作出决定，却未必能够消除不确定感。
于是，有人会借助命理寻找解释，有人通过人格测试整理自己的特点，也有人只是出于娱乐和好奇，想看看不同工具会怎样描述自己。
当然，并不是所有算命行为都源于焦虑，也不是每个人都会相信得到的结果。
有人重视传统文化，有人享受解读过程，有人把它当作社交话题。
但从社会心理的角度看，这些行为都指向一个值得研究的问题：
人们如何面对无法提前确定的未来？
或许，“我命由我不由天”表达的是一种自主愿望，而算命有时满足的是另一种愿望：在未知面前，获得一点暂时的秩序感。
前者关乎行动，后者关乎解释。
两者并不必然互相排斥。
04. 从八字到 MBTI，我们为什么总想找到自己的类别？
命理之外，还有一种很常见的自我探索方式：人格测试。
INTP、INTJ、ENFP、INFJ……
MBTI 的四个字母，已经成为社交媒体上非常容易识别的身份标签。
有人把它写进个人简介，有人在交友时询问对方的类型，还有人根据人格类型讨论恋爱匹配、团队合作和职业发展。
有趣的是，知道自己的类型之后，人们似乎还会产生新的好奇。
有哪些名人也属于这一类型？
有没有成功的企业家、艺术家或者科学家与自己相似？
在命理讨论中，也存在类似的问题：历史上有哪些人拥有相同的年柱或日柱？
这背后也许不只有分类的需求，还有寻找认同与参照对象的愿望。
如果某位知名人物被认为与自己拥有相同的人格类型，便容易产生一种微妙的联系感。
尽管彼此可能生活在完全不同的环境中，从未有过任何真实交集。
但标签似乎提供了一座桥梁。
通过一个共同类别，人们开始想象自己与另一个人的相似之处。
不过，相似的标签不等于相似的能力，更不意味着相同的人生结果。
尤其是历史人物的 MBTI，很多只是后人依据传记和公众形象作出的推测，并没有可靠的本人测试记录。
而且，MBTI 与八字、星座、手相的理论背景并不相同。它们不能简单地放在同一个科学评价层级上。
但在日常使用中，它们确实可能承担相似的社交功能：
用一个简洁的标签，帮助人们描述自己、寻找同类，并想象不同的人生可能性。
05. 为什么有些分析总让人觉得“有点准”？
在各种人格分析和命理解释中，经常能看到类似的描述：
“你喜欢独立思考，但也希望获得他人的理解。”
“你向往稳定的生活，却又不愿失去自由。”
“你有一定的潜力，只是还没有完全发挥出来。”
这些句子听起来似乎非常贴合个人。
但如果把它们拿给不同的人阅读，可能有不少人都会觉得自己被描述得很准确。
心理学中有一个相关概念，叫作巴纳姆效应（Barnum Effect）。
它指的是，人们可能把一些宽泛、普遍适用的个性描述，理解为专门针对自己的准确判断。
与此同时，确认偏误也可能影响判断。
当一份分析包含大量内容时，人们容易记住那些符合自己经历的部分，而忽略不符合的部分。
当然，并不是每一次共鸣都来自认知偏差。
有些描述可能确实涉及一个人长期存在的特点，也可能帮助人意识到此前没有认真思考过的问题。
但有必要区分三个层次：
第一，它让我觉得被理解。
第二，它准确描述了我的某些特点。
第三，它能够可靠地预测我的未来。
这三件事并不相同。
而 AI 的出现，让这个区别变得更有研究价值。
因为 AI 不只是输出一段固定文案，还能结合对话历史、用户提供的信息和不断补充的细节，生成越来越个性化的解释。
有些内容确实是对已知信息的合理归纳。
但另一些内容可能只是未经验证的象征性推断。
如果不区分信息来源，人们就可能把个性化程度误认为预测准确性。
报告越长，未必越可靠。
解释越流畅，也未必越接近事实。
06. 当算命成为一种 AI 产品，我们究竟在消费什么？
从产品角度看，AI 命理还有一个值得思考的问题：
用户打开这些产品时，真正想获得的究竟是什么？
有人想了解传统文化，有人想体验新技术，有人寻求娱乐，也有人希望获得关于人生选择的建议。
甚至是同一个问题，背后也可能有不同的需求。
例如：
“我什么时候结婚？”
对某些人来说，这只是一个有趣的问题。
对另一些人来说，可能与家庭期待、关系中的不确定感，或者对未来生活的规划有关。
如果产品只把这些需求统称为“用户想算命”，可能就会忽略其中的复杂性。
从更大的视角看，命理产品可能同时提供几种价值：知识内容、娱乐体验、情绪慰藉、自我表达和社交谈资。
但当这些体验进一步延伸到收费服务、个性化建议和现实决策时，也会出现新的问题。
例如，产品是否清楚说明结论的依据？
用户能否区分传统文化解释与科学事实？
当 AI 对婚姻、健康、财富等敏感问题给出非常肯定的判断时，是否可能制造不必要的焦虑？
当一个系统掌握越来越多个人信息时，用户的数据应该如何被保护？
这些问题不只是命理行业才会遇到。
在 AI 陪伴、心理支持、个性化推荐以及其他依赖用户信任的产品中，也存在相似的挑战。
技术让解释变得更容易获得，但也让解释更容易被包装成一种权威。
一个产品可以帮助用户探索问题，却不应该仅仅因为自己能生成答案，就假装拥有决定答案的权力。
07. 我们到底是在寻找命运，还是在寻找确定感？
回头再看这类现象，会发现一个有趣的变化。
传统命理试图从出生信息中寻找解释。
人格测试试图通过分类描述心理偏好。
社交媒体把这些解释加工成容易传播的内容。
而 AI 又让它们变得即时、个性化、可以无限追问。
不同的工具，不同的时代，不同的形式。
但人类面对的问题似乎并没有完全改变。
我们仍然想知道自己是什么样的人。
仍然关心未来会发生什么。
仍然会在面对重要选择时，希望有人能够提供一种看待问题的方式。
这并不意味着所有人都相信命运早已注定。
有时候，人们只是需要一个讨论自己的入口。
一个标签，一份分析，一段看似准确的描述，都可能成为重新思考生活的契机。
问题不在于我们是否应该接触这些内容，而在于如何理解它们的边界。
我们可以研究命理文化，却不必把它当作可靠的人生预测。
可以借助人格测试开启自我反思，却不必让四个字母限制职业和生活选择。
也可以通过 AI 获得新的观察角度，却不应把流畅的回答等同于经过验证的事实。
一个工具能否帮助我们思考，与它能否准确预测未来，是两件不同的事情。
写在最后
从传统算命到 MBTI，再到不断出现的 AI 命理产品，这些看似分散的文化现象，也许可以放在同一个更大的问题下观察：
为什么信息和技术越来越丰富，我们却依然如此渴望一种关于自己的解释？
也许，因为人生本来就无法被完全预测。
现代社会提供了更多选择，也带来了更多需要独立承担的决定。
我们希望拥有自主权，却又无法彻底摆脱对未知的好奇。
于是，一边说着“我命由我不由天”，一边打开 AI 算命，便成了一种有意思的当代生活景象。
这篇文章并不试图通过一种理论解释所有人的行为，也不打算给算命文化下一个简单的结论。
比起证明某种命运预测是否灵验，更值得继续观察的是：人们为什么需要这些解释，它们如何被设计、传播和消费，以及它们是否正在影响我们认识自己与作出决定的方式。
我们当然可以继续研究八字、星座、手相和 MBTI。
可以对未知保持好奇，也可以享受探索过程本身。
只是，在接受任何一种解释时，或许都值得留下一点独立思考的空间。
我们可以借助标签认识自己，但不必活成标签所描述的样子。
毕竟，一个人远比一组字母、一张命盘或几条掌纹复杂得多。
而未来，也不必在今天就被解释完毕。
参考资料
文中涉及的概念与现象，以下资料可供延伸阅读：
- Forer, B. R. (1949). The fallacy of personal validation: A classroom demonstration of gullibility. The Journal of Abnormal and Social Psychology, 44(1), 118–123. —— 巴纳姆效应的经典实验来源。
- Meehl, P. E. (1956). Wanted—A good cookbook. American Psychologist, 11, 263–272. —— “巴纳姆效应”一词的来源。
- Pittenger, D. J. (2005). Cautionary comments regarding the Myers–Briggs Type Indicator. Consulting Psychology Journal: Practice and Research, 57(3), 210–221. —— 对 MBTI 心理测量局限的系统讨论。
- Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Yan, X., Ishii, E., Bang, Y., Madotto, A., & Fung, P. (2023). Survey of hallucination in natural language generation. ACM Computing Surveys, 55(12), Article 248. —— 生成式 AI“一本正经地虚构”的机制综述。
- 刘汉波. (2020). 符号赋权、焦虑消费与文化塑造——作为青年亚文化的“日常迷信”. 《中国青年研究》, 2020(1), 105–111. —— 当代青年网络玄学文化的社会学观察。
Fate Observatory 001 | Social Observation
Saying “my fate is mine to decide, not heaven’s,” while opening an AI fortune-telling tool. Are we really trying to predict the future, or looking for a way to understand ourselves?
Lately, at tech gatherings, an interesting product direction has kept coming into view: AI fortune-telling.
BaZi, the five elements, and fortune forecasts — things that once belonged to traditional divination — now live inside web pages, mini-programs, and conversational AI. Enter your birth information, wait a few seconds, and you may receive a structured report on personality, career, wealth, and marriage.
That alone is fascinating.
If the exact same birth information is given to ChatGPT, DeepSeek, and Doubao, will the analyses match?
If the results differ, which one should we trust? If they are identical, does that mean the prediction is actually accurate?
Carrying these questions into the related content on Xiaohongshu and Douyin, one finds a rich supply of discussion around BaZi, astrology, tarot, palmistry, and MBTI.
Some people seriously study their Ten Gods and luck cycles, some look for their supposed year of destined romance, some share the results of AI fortune-telling, and some have begun comparing the interpretations produced by different models.
Of course, being fed a stream of such content does not mean every young person is into fortune-telling. Recommendation algorithms may simply keep amplifying an interest a user has already shown.
But the phenomenon is still worth thinking about.
On one hand, we increasingly emphasize personal choice, self-actualization, and independent thinking.
“My fate is mine, not heaven’s” has almost become a familiar life attitude.
On the other hand, people keep turning to fortune-telling systems and personality taxonomies, trying to find answers about themselves.
Why do we believe, on one hand, that life is ours to decide — and remain, on the other, so curious about how fate will arrange it?
01. An ancient question, repackaged as a product
Fortune-telling is nothing new.
From traditional Chinese BaZi, Zi Wei Dou Shu, face reading, and palmistry, to Western astrology and tarot, different cultures have each developed their own ways of explaining destiny.
But technology is changing how people come into contact with these practices.
In the past, learning about BaZi might mean digging through references, consulting a calendar of ganzhi cycles, or asking someone versed in traditional divination.
Now, entering a birth date, time, and place can yield a fully structured analysis.
More importantly, it is no longer a one-time reading.
Users can keep asking follow-up questions:
Why this judgment?
What will change in the coming years?
Which city would suit me better?
Would the result differ if I switched career directions?
AI can extend the explanation with each new question, and even organize the analysis into charts, timelines, and personal reports.
From a product design standpoint, the experience is actually quite complete.
Users arrive with clear questions, the product offers a relatively simple input, the system generates results quickly, and an ongoing conversation stretches out the exploration.
What’s more, these are rarely ordinary information queries.
What people care about is career, wealth, marriage, health — and a life that has not yet happened.
These questions matter enormously, and yet they resist certain answers.
Technology has changed how explanations are obtained, but not humanity’s curiosity about the unknown.
02. If three AIs hand down three destinies, which one do we trust?
This is one of the most interesting questions to study in AI divination products.
Suppose the exact same birth information is given to three models.
One recommends management work, one suggests technical research, and a third favors founding your own company.
So which one is more accurate?
And if all three reach similar conclusions, does that mean the conclusion has been verified?
Two different things are actually being mixed together here.
The first is calculation.
For example: which heavenly stems and earthly branches correspond to a given birth date, how solar terms divide the months, whether the birthplace and true solar time should be taken into account.
These are calendrical and time-computation questions that can be checked against explicit rules.
The second is interpretation.
Does a certain BaZi combination mean career success or a happy marriage? Is a certain year more likely to bring wealth?
There is no reliable scientific evidence that such life predictions work.
In other words, even if an AI correctly computes your BaZi chart, that does not mean it can predict a person’s future.
Generative AI, meanwhile, happens to excel at something else: organizing information into fluent, complete, plausible-sounding narratives.
It can combine the five elements, the Ten Gods, and luck cycles into a well-layered report that makes a complicated interpretation easy to read.
But a passage being logical does not mean its conclusions have been confirmed.
Similar answers across models may simply reflect that they learned from similar public material, or adopted similar interpretive frameworks.
This points to a more general question:
As AI gets better and better at explaining the world, will we mistake “explains well” for “explains correctly”?
03. “My fate is mine” — but I’d also like a peek at the script
Sometimes, modern behavior looks quite contradictory.
We stress free choice, want to escape preset rules, and refuse to be defined by family, career, identity, or any single label.
At the same time, we hold a deep interest in divination, astrology, and personality tests.
Some research which career suits them, some check their romantic prospects, and some want to know which city they should live in.
If we believe life is in our own hands, why predict it at all?
Perhaps the two attitudes were never fully in conflict.
Wanting to change the future and wanting a small preview of it can exist at the same time.
In real life, many decisions have no standard answer.
Choosing a job does not let you predict where it will be in five years.
Deciding to build a life with someone guarantees nothing about the future.
Even after gathering information and weighing pros and cons carefully, one may still not know which path is better.
Rational analysis can help people decide, but it does not necessarily remove the feeling of uncertainty.
So some turn to divination for explanations, some use personality tests to organize their traits, and some are simply curious for fun, wondering how different tools will describe them.
Of course, not every act of fortune-telling comes from anxiety, and not everyone believes the results.
Some value the traditional culture, some enjoy the reading itself, and some treat it as a conversation topic.
But from the perspective of social psychology, these behaviors all point to a question worth studying:
How do people face a future that cannot be known in advance?
Perhaps “my fate is mine” expresses a wish for agency, while fortune-telling sometimes serves a different wish: a temporary sense of order in the face of the unknown.
The former is about action; the latter is about explanation.
The two are not necessarily mutually exclusive.
04. From BaZi to MBTI: why do we keep searching for our category?
Beyond divination, there is another common form of self-exploration: personality tests.
INTP, INTJ, ENFP, INFJ…
The four letters of MBTI have become one of the most recognizable identity tags on social media.
Some put it in their bio, some ask a stranger’s type when making friends, and some discuss romantic compatibility, teamwork, and career development by personality type.
Interestingly, once people know their type, a new curiosity often follows.
Which celebrities share this type?
Are there successful entrepreneurs, artists, or scientists similar to me?
In divination discussions, a similar question appears: who in history shared the same year pillar or day pillar?
Behind this may be more than a need for classification — also a wish for identification and reference points.
When a well-known figure is said to share one’s personality type, an odd feeling of connection arises.
Even though the two may have lived in completely different environments, never once crossing paths in reality.
But a label seems to provide a bridge.
Through a shared category, people begin to imagine what they might have in common with another person.
Still, a similar label does not mean similar ability, let alone the same life outcome.
In particular, the MBTI of historical figures is mostly a later inference drawn from biographies and public images, without any reliable test record from the person themselves.
And MBTI, BaZi, astrology, and palmistry have different theoretical backgrounds; they cannot simply be placed on the same scientific footing.
In everyday use, however, they do serve a similar social function:
Using one compact label to help people describe themselves, find their kind, and imagine different possible lives.
05. Why do so many analyses feel “kind of accurate”?
In personality analyses and divination readings, certain descriptions keep recurring:
“You like to think independently, but you also want to be understood.”
“You long for a stable life, yet you are unwilling to give up freedom.”
“You have real potential; it just hasn’t fully emerged yet.”
These sentences sound remarkably personal.
But read by many different people, a good number would likely feel accurately described.
Psychology has a relevant concept: the Barnum Effect.
It refers to how people can take broad, universally applicable personality descriptions as accurate judgments made just for them.
At the same time, confirmation bias can shape the judgment.
When an analysis contains a large amount of content, people tend to remember the parts that match their experience and forget the parts that don’t.
Of course, not every moment of resonance comes from a cognitive bias.
Some descriptions genuinely touch long-standing traits, and may help a person notice questions they had never seriously considered.
But it helps to distinguish three layers:
First: it made me feel understood.
Second: it accurately describes certain traits of mine.
Third: it can reliably predict my future.
These three things are not the same.
And the arrival of AI makes the distinction even more worth studying.
Because AI does not output a fixed piece of copy; it draws on conversation history, the information users provide, and details added along the way to generate ever more personalized interpretations.
Some of that content is a reasonable summary of what is already known.
But some of it may be nothing more than unverified symbolic inference.
Without separating the sources of information, people may mistake degree of personalization for predictive accuracy.
A longer report is not necessarily more reliable.
A more fluent explanation is not necessarily closer to the truth.
06. When fortune-telling becomes an AI product, what exactly are we consuming?
From a product perspective, AI divination raises another question worth thinking about:
What do users actually want when they open these products?
Some want to learn about traditional culture, some want to experience new technology, some seek entertainment, and some want advice about life decisions.
Even the same question can carry different needs.
For example:
“When will I get married?”
For some people, it is just a fun question.
For others, it may connect to family expectations, uncertainty within a relationship, or plans for a future life.
If a product lumps all of this together as “the user wants their fortune told,” it may miss that complexity.
Seen more broadly, divination products may provide several kinds of value at once: knowledge content, entertainment, emotional comfort, self-expression, and social currency.
But when these experiences extend further into paid services, personalized advice, and real-life decisions, new problems appear.
Does the product clearly explain the basis for its conclusions?
Can users tell traditional cultural interpretation apart from scientific fact?
When AI gives very confident judgments about marriage, health, or wealth, might it create needless anxiety?
When a system holds more and more personal information, how should that data be protected?
These questions are not unique to fortune-telling.
AI companionship, psychological support, personalized recommendation, and other products built on user trust face similar challenges.
Technology makes explanations easier to obtain — and easier to package as authority.
A product may help users explore a question, but it should not pretend to hold the power to decide the answer just because it can generate one.
07. Are we searching for fate, or for a sense of certainty?
Looking back at this phenomenon, an interesting shift emerges.
Traditional divination tried to find explanations in birth information.
Personality tests tried to describe psychological preferences through classification.
Social media processed these explanations into easily shared content.
And AI has made them instant, personalized, and endlessly follow-up-able.
Different tools, different eras, different forms.
But the human questions seem to have not fully changed.
We still want to know what kind of person we are.
We still care about what the future will bring.
We still wish, at important crossroads, that someone would offer a way of seeing the problem.
This does not mean everyone believes fate is sealed.
Sometimes, people simply need an entry point for talking about themselves.
A label, a reading, a description that seems accurate — any of them can become the occasion for rethinking one’s life.
The question is not whether we should engage with such content, but how to understand its limits.
We can study divination culture without treating it as a reliable forecast of life.
We can use personality tests to start self-reflection without letting four letters restrict our careers and choices.
We can take new angles from AI without equating fluent answers with verified facts.
Whether a tool helps us think, and whether it can accurately predict the future, are two different things.
A final note
From traditional fortune-telling to MBTI, to the AI divination products still appearing, these seemingly scattered cultural phenomena may belong under one larger question:
Why, with ever richer information and technology, do we still long so much for an explanation of ourselves?
Perhaps because life simply cannot be fully predicted.
Modern society offers more choices, and with them more decisions we must carry alone.
We want autonomy, yet we cannot fully let go of curiosity about the unknown.
So, saying “my fate is mine” while opening an AI fortune-telling app has become a telling scene of contemporary life.
This article does not attempt to explain everyone’s behavior with one theory, nor to issue a simple verdict on fortune-telling culture.
Rather than proving whether any prediction works, it may be more worth watching: why people need these explanations, how they are designed, spread, and consumed, and whether they are reshaping how we understand ourselves and make decisions.
We can keep studying BaZi, astrology, palmistry, and MBTI.
We can stay curious about the unknown and enjoy the exploration itself.
Only, before accepting any explanation, it may be worth leaving a little room for independent thinking.
We can use labels to understand ourselves, but we don’t have to live as the person the label describes.
After all, a person is far more complicated than a set of letters, a destiny chart, or a few lines on a palm.
And the future does not have to be fully explained today.
References
For the concepts and phenomena discussed in this piece:
- Forer, B. R. (1949). The fallacy of personal validation: A classroom demonstration of gullibility. The Journal of Abnormal and Social Psychology, 44(1), 118–123. — The classic experiment behind the Barnum effect.
- Meehl, P. E. (1956). Wanted—A good cookbook. American Psychologist, 11, 263–272. — Where the term “Barnum effect” was coined.
- Pittenger, D. J. (2005). Cautionary comments regarding the Myers–Briggs Type Indicator. Consulting Psychology Journal: Practice and Research, 57(3), 210–221. — A systematic discussion of the MBTI’s psychometric limitations.
- Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Yan, X., Ishii, E., Bang, Y., Madotto, A., & Fung, P. (2023). Survey of hallucination in natural language generation. ACM Computing Surveys, 55(12), Article 248. — A survey of how generative AI produces fluent yet unverified content.
- Liu, Hanbo (2020). Symbolic empowerment, anxiety consumption, and cultural shaping: “Daily superstition” as a youth subculture. Chinese Youth Research (中国青年研究), 2020(1), 105–111. — A sociological observation of young people’s online mysticism culture.