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"Numbers never lie—but people do."
That’s the first thing I say when explaining how my new service works. I’m not a formal data analyst; I consider myself a social engineer—someone fascinated by mathematics, data science, and how human beings trust illusions. You might call it psychology meets analytics.
The 2008 Wound
Let’s rewind to 2008. My parents lost their pension during the financial meltdown, thanks to confident bankers who sold “complex instruments.” The real problem? Popularity trumped reality. People were too busy admiring the slick suits and big offices to question whether the numbers added up. As a result, families like mine paid the ultimate price for their blind faith in the “untouchable” crowd.
The collapse left me angry and determined: how could the world worship flashy talkers while ignoring real value? I took that anger and poured it into studying how powerful illusions form. Over time, I discovered a pattern: crowds often chase the loudest voice, and rarely the wisest.
A New Arena: Professional Digital Networks
Fast-forward a decade. While scrolling a professional social platform—where “professional authenticity” supposedly reigns—I noticed two posts:
  1. A flashy CEO boasting about an investment milestone. This post had thousands of likes and jubilant comments.
  1. A small-time researcher unveiling a new early-detection technique for cancer. Almost no one noticed—just a handful of likes and a couple of polite comments.
It felt like 2008 all over again, only in miniature. Back then, popularity overshadowed truth; here, trivial self-promotion was drowning out a genuine breakthrough that could save lives.
The Social Engineering Approach
I’m no “data analyst” by title, but I do love collecting numbers and mapping out social behaviors. So I wrote some scripts to gather:
  • Who liked and commented on whose posts.
  • How often certain “big names” got praise—and whether they ever returned the favor.
  • Suspicious patterns suggesting closed loops—people praising each other repeatedly, forming a tight circle of mutual flattery.
With a sizable dataset, I started looking for repetitive social structures, or as I call them, approval spirals—where people’s interactions feed on each other, creating the illusion of unstoppable success.
The Pattern: A Social Spiral
Instead of seeing genuine merit rise to the top, I found loops of approval:
  1. A mid-level manager praising a VP, who praises a CEO, who praises an investor, who praises the same mid-level manager.
  1. Tightly knit cliques where each member echoed the other’s accomplishments, leaving no room for outside voices.
I even spotted a mini sequence:
  • User A always “loves” User B’s post.
  • User B returns the favor on User C’s post.
  • User C does the same for User D.
  • User D then endorses User A for “Leadership Skills,” closing the loop.
Looks elegant on paper, but it’s the same old story: popularity crowding out real value.
Remembering 2008
Seeing these professional social platform spirals reminded me of how, in 2008, bankers and rating agencies gave each other top marks in a never-ending cycle of self-praise—until everything collapsed. Back then, almost no one stepped outside the bubble to ask the hard questions. Likewise, on professional social platform, many users chase “likes” or latch onto well-known names, rarely questioning the substance behind the shine.
A Telling Example
I decided to do a quick test on five people in my dataset:
  1. The Born Cheerleader: Always the first to comment “Amazing!” on the CFO’s posts.
  1. The Brag Master: A CEO who flaunts personal luxuries—racking up likes from corporate “yes-men.”
  1. The Unsung Innovator: A biotech researcher mostly ignored, yet quietly respected by serious professionals outside the social loop.
  1. The Circle Leader: A group admin who runs an exclusive club where all members only praise each other’s updates.
  1. The Ladder Climber: A mid-level manager targeting big names relentlessly, hoping to ascend the social hierarchy.
Outcome? The biggest crowds flocked to the biggest boasts, leaving more important breakthroughs in the dust—an echo of the “follow the star” mentality that hurt my family all those years ago.
Turning Insight into a Service
That’s when I got the idea for a professional social platform profile-report service—the very one I’m sharing with you now (the one you see “in the picture”). It collects publicly visible data on your professional social platform activity (posts, likes, comments, endorsements) to create a visual map of who you really engage with, who reciprocates, and whether there are hidden approval loops at work. Think of it as x-ray vision for your professional network.
Conclusion: A Call to Look Beyond the Applause
Numbers never lie, but people do—often to themselves. If you never examine how you or others chase popularity, you risk repeating the 2008 mistake of mistaking hype for substance.
By using social engineering techniques fused with data science, this new service helps you see through the noise and ask:
  • Is my engagement authentic or just part of a loop?
  • Are the people I praise truly valuable or merely popular?
  • Where might I be overlooking real innovation in favor of flashy self-promotion?
The answers might be uncomfortable—but they’re also liberating. After all, if you can spot where popularity supersedes reality, you might save yourself (and your loved ones) from another disastrous blind faith. And that, I believe, is a victory for everyone who values truth over the biggest applause meter.