大多数建议对给出建议的人是正确的
Most advice is right for the person giving it

原始链接: https://coached.com/essays/most-advice-is-right-for-the-person-giving-it/

很多建议都依赖上下文:相反的规则在不同的人和情境下都可能正确,因此要理解某条建议为什么对建议者有效,以及你的处境是否匹配。了解自己的 wiring 有助于判断其适配性。感到不知所措时,先从枯燥、显而易见的答案开始,真正去做那个简单的事情。不要盲目接受自信的建议,而是通过小实验获取自己的数据来检验它。要警惕迷人的确定性,因为人们常把信心与能力混淆。最后,把 AI 当作陪练而非神谕——让它论证反方、暴露假设,并澄清什么证据会改变你的决定。

Hacker News 讨论串讨论了一篇文章,认为大多数建议反映的是建议者自己需要听到的话。评论者进一步指出:建议往往依赖于情境,而反馈更具可操作性。Ozempic 说明,知道解决方案(“吃得更少”)还不够,支持条件也重要。一些人指出,减肥方案早已存在,但摩擦与社会因素也很重要。另一些人区分公共建议与个性化反馈;好的顾问会改变环境,而不只是说话。其他观点:建议偶尔仍然有用;教导需要听众具备接受能力;初学者网红常在写给自己打气。一个旁支讨论指出,Mark Cuban 与 Steve Jobs 尽管看似对立,却表达了类似观点。总体而言,建议受限于建议者的视角与接受者的处境。
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原文

Steve Jobs gave a famous speech at Stanford, where he told graduates that the only way to do great work is to love what you do, and that if you haven't found your passion yet, you should keep looking.

Interestingly, Mark Cuban says the opposite: don't follow your passion, follow your effort, because you'll end up loving whatever you get good at.

Who’s right?!

I think they're both right…about themselves. Jobs was obsessive; he only ever did well at things he was obsessed with, so of course that's his rule! Cuban is the kind of person who gets hooked on anything he starts winning at, so that's his.

A lot of advice is like this. Two smart people can tell you opposite things, and both can make perfect sense.

So how do you work out what actually applies to you?

Does this apply to me?

Take another common contradiction which contains good advice on each side: “say yes to everything” versus “say no to almost everything.” If your career has gone a bit quiet - you're not getting many opportunities, you're not trying new things, or you're early in your career - saying yes more is likely excellent advice.

If you already have ten things going on and can’t give any of them enough attention, the exact opposite is probably better. Engineers see this all the time. One team writes about how microservices saved them, another writes about moving back to a monolith, and each was right for its own team size and problems.

When you hear advice or someone tells you to do something: don’t copy the rule, understand why it worked for that person. What problem were they solving? What was true about their situation?

Then ask the obvious question: is that true for me too? Don’t assume something that works for someone else is what you’ll enjoy too.

Side note: That’s also why I think finding out your wiring is super important. The better you understand how you naturally work, what gives you energy, how you make decisions, and what kinds of environments bring out your best, the easier it is to tell when someone else’s advice actually fits you and when it doesn’t.

To find out your wiring, take the ~3 minute personality assessment that maps a lot of this for you. It’s built on decades of psychology research, and goes much deeper than the usual four-letter personality stuff.

Take the test - it's free

Or enter coached.com/quiz in your browser.

Start with the boring answer

When I’m confused by a lot of different directions, I love to ask: what’s the boring, obvious answer here?

Take weight loss. You can spend months debating keto, fasting, meal timing, carbs, exercise routines, etc. But what's the boring answer? Eat less. Everyone already knows this. That's what makes it boring.

Which is why I find it pretty funny that Ozempic is arguably the biggest weight-loss breakthrough in decades - and all it does is make you…eat less. Billions in R&D, and the answer was the platitude the whole time. Ha.

I find this useful whenever I’m stuck. What’s the simplest answer here? Am I actually doing that? Why not? There's a well-known essay among programmers called "Choose Boring Technology" that makes the same argument for picking tools.

Boring advice gets ignored because there’s a whole industry built on advice, and the obvious doesn’t sell :) The older I get, the more I realize the boring platitudes are often the best advice.

Can I just find out?

Here's a habit I've ingrained in myself. You're going to have a lot of people telling you what you should do: do this, try that, you have to be doing X.

Instead of taking their word for it or ignoring it, I step back and ask: can I just find out for myself? Can I run a small experiment and get my own answer?

Quick example: a lot of content creators say (no surprise) that creating content is the best thing you can do for your career. I could see it working for them, especially for job searching. I just didn't know if it was worth it for me. So I tested it: posted on LinkedIn consistently, grew a decent following, and paid attention to what it actually did for me. My answer: useful, but not useful enough to keep putting the same energy into it. So I'm less active there now and I don’t wonder about it anymore.

Get into the habit of testing things out in a small way first! If you’re thinking of switching careers, do a small paid gig at a reduced rate first. If you want to build a company, use AI to make a prototype first and try to market it.

Before making any big decision, ask: what could I do that would give me actual data?

We trust confident people, even when they're wrong

The human brain has a pathetic flaw: we routinely mistake confidence for competence.

This is proven in the research too. There’s a 2013 study where people rated statements made with high confidence as far more credible, even when the speaker was demonstrably wrong and had no evidence to back it up.

When someone speaks with absolute conviction on a podcast or in a boardroom, your own instincts wobble. "They sound so sure. Maybe my read is completely backward."

Train yourself to develop an immune response to charismatic certainty. When someone speaks with zero nuance, try to mentally discount their certainty and look at the actual argument underneath. What do they actually know? What evidence do they have?

Use AI to argue the other side

AI can make almost any position sound convincing. Ask whether you should quit your job and it can make a great case for leaving. Ask why you should stay and it can make a great case for that too. A Stanford study published in Science this year found chatbots agreed with people asking for personal advice about 49% more often than humans did.

So I find it more useful as a sparring partner than an oracle. If I’m leaning one way, I’ll ask it to make a case for the opposite, point out what I might be assuming, and tell me what information would change the answer. It helps me stay grounded and make up my own mind!

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