i would've asked it 500 questions already

Recently I advised a friend not to fret about her relationship going long-distance.

I advised a different friend to dump his unsupportive girlfriend.

I advised a third friend to calm down about his youtube account suspension, and to resume eating and sleeping while he's waiting for his appeal.

Then I got to thinking, how do these people know whether to take my advice? Maybe I give bad advice but I make it sound convincing. I recall a demonstration of this ten years ago:

Me: "Do you want to go eat fondue sometime?"

Iondra : "Like where?"

Me: "There are a couple restaurants that serve it."

Iondra: "What exactly do they serve?"

Me: "Usually there's a cheese fondue, and an oil fondue, and then a chocolate fondue."

Iondra : "Hm. All right, I tried to figure it out from context, but now I have to ask: What is fondue??"

Me: "It's a pot with liquid in it, like a hot pot. You dip solid food into it, and it gets coated with the liquid. So you would dip bread into the cheese, fruit into the chocolate, etc."

Iondra: "I see. [in very authoritative voice] I'm sure the cheese is fine, but the oil fondue sounds bad."

Me: "I haven't tried it. I guess you could be right. It -- Wait a second! Just a minute ago, you didn't even know what fondue was! Why should I listen to you at all?"

Anyhow, I think someone should build a product / social network app / Web 2.0 site / Web 3.0 site to fix this. Every time you need advice, you'll post your quandry onto the site with multiple choice answers. Like:

"Should I date the sister of my ex from five years ago? YES vs. NO."

"What type of phone should I buy? BLACKBERRY vs. IPHONE."

"My husband drunkenly groped my sister. DTMFA vs. FORGIVE HIM."

The service will poll all of your friends, who will vote.

After some time elapses, you go back and use hindsight to select what the correct choice was. Then each of the voters will get a boost or drop in their Advice Rating, based on what they selected.

The site takes the ratings into account when giving you a Final Answer to your question. Ergo, when it tells you to DTMFA, you know it was biased toward your wise friends, and discounted from your foolish friends.

Come to think of it, a number of prediction market applications can likely be adopted for this purpose.