Why it matters
The common belief is that a strong recommendation from someone you trust is strong evidence.
It isn't. It's one data point.
And it's often the loudest one in the room.
Two things distort what you hear. One confident recommendation is easier to remember than fifty quiet experiences, so you recall the senior who swore by a faculty, not the many who felt lukewarm. And the loudest reviews are the extremes: a furious student who failed, a delighted or paid one who raved, while the honest middle stays silent.
The deeper problem isn't bad advice. It's inconsistent advice. Ask five seniors, and you might get five different faculties. None of them are lying. They're each describing their own experience.
Read patterns, not opinions.
One review is a story. Fifty reviews are data. When the same praise or complaint appears again and again, from students with goals and circumstances like yours, you've probably found something real.
Ask Yourself
- Am I trusting one confident opinion, or a pattern across many reviews?
- Do the reviewers I'm weighting share my goal, level and attempt?
- If I'd asked a different person, would I get a different answer? If yes, I'm relying on luck, not evidence.
Red Flags
- Your whole decision rests on one strong recommendation from one person.
- You're swayed by the angriest and the most glowing reviews, skipping the calm middle.
- Every source benefits from recommending someone, and you don't know who benefits from what.
Relevant Careviews Features
Don't stop at the average rating. Filter by Attempt. Filter by Course. Read the lowest-rated reviews first. Look for repeated praise and repeated complaints. Pay attention to "Best For" tags. Ignore one-offs.
One sentence to remember
One review tells you about one student. A pattern tells you about the faculty.