The Bitterness of Merit

Data Mining and how true skill is ignored by machinery

"And I went unto the angel, and said unto him, Give me the little book. And he said unto me, Take it, and eat it up; and it shall make thy belly bitter, but it shall be in thy mouth sweet as honey."

I built amplifiers that mattered. I measured every line, every microvolt, every nuance of sound. Every product was a conversation with reality, honest and exact. Yet I watched others triumph not because of craft, but because they understood how to feed a system, how to signal to machines rather than to ears.

What actually happened was this:

Certain people learned that popularity on the internet was not decided by human judgement, but by automated systems. These systems counted signals: links from other websites, apparent interest, repeated mentions, and activity that looked like approval.

Instead of persuading customers directly, they manufactured those signals. Large numbers of websites were created, or co-opted, whose only purpose was to point at a chosen product. Some appeared to be blogs or reviews. Some appeared to be independent voices. Many were never written for people at all.

To the algorithms, these signals looked like widespread admiration. To ordinary viewers, the resulting prominence looked like genuine popularity. In reality, the attention was engineered. Once the system had been convinced, real customers followed — not because the product was better, but because it was already visible.

Nothing illegal was required. Only early knowledge, technical skill, access to computing power, and an understanding that the system could be fed — like any other machine — until it behaved as desired.

It is impossible not to feel bitterness. Not at a single competitor, not even a well-known amplifier company which became well known by making thousands of backlinks appear as if like magic. The bitterness is deeper — it is a response to a world that rewards visibility over truth, signal over substance, artifice over skill.

This bitterness will remain. It is the trace of knowing what genuine merit looks like, and watching the system ignore it. And yet, in that bitter knowledge lies clarity: the system may amplify the unworthy, but it cannot touch the work done with care, the craft measured by the senses, or the standards that refuse to compromise.

These relics are my memorials: to effort, to honesty, to the invisible labour of understanding. They are my quiet defiance against a world that too often rewards cleverness without content. And in them, the truth remains — if not always celebrated, at least preserved.

I later encountered an entire industry built around this opacity. Marketing systems, funnels, and paid programmes promised access to “data-driven growth,” often using impressive language and diagrams that explained the shape of success without revealing its substance.

I knew at least one small manufacturer who paid for such services. When I later examined his accounts, there was no measurable improvement. The promised leverage never materialised.

That was when I realised something important: these techniques are not designed for ordinary makers. They work best for those who already understand the machinery, already possess capital, and already have access. For everyone else, they offer participation without power — and understanding without control.

The Advantage of Being Early

(the Oxbridge advantage?)

I see it clearly now: some people start life with signals already amplified. Talent is not absent in the rest of us, but the system — the education, the networks, the early exposure — boosts a few long before the wider world notices.

"Mr T" understood the machinery. He could feed it, measure it, bend it to his advantage. He had early access, technical skill, and the confidence to act. Others, equally able, had none of those things. And the gap grows silently, invisibly, compounded year by year.

It is not malicious. It is human. Opportunity is uneven, and those who understand the rules first gain structural advantage. They can amplify themselves at will, leaving the rest of the field at the noise floor. Talent wasted is invisible — no one hears it, no one measures it.

I have no desire to chase that advantage. I have no ambition to feed machines, manipulate signals, or compete in ways that feel unnatural. I am free in that, but freedom comes with clarity: I see inequality everywhere. It is not personal; it is systemic. It is woven into the fabric of who gets to learn, who gets to access, who gets to act before others even know the system exists.

And yet — in seeing it, there is purpose. To record it, to observe, to name it in fragments, is to acknowledge it. To leave a trace for those who stumble upon it later, a relic of what talent might look like when it is both illuminated and ignored. That is the human thing to do.