Yesterday, I opened a document that claimed to be a 'deep, multi-dimensional analysis' of a blockchain project. It had nine sections, sub-tables, risk matrices, and a final verdict. Every cell, every row, every conclusion—populated by the same two letters: N/A. Not a single data point. Not one original observation. Just the skeleton of rigor, dressed in the clothes of expertise.
This is not an isolated failure. It is the silent epidemic of our industry: analysis without data, frameworks without substance. We have become so obsessed with the appearance of thoroughness that we forget the one thing that makes analysis valuable—truth. And truth, in blockchain, is not born from templates. It is born from digging into the mess.
Context: The Rise of the Template Analyst
In 2017, during the ICO mania, I watched hundreds of projects parade through telegram channels with white papers that looked like they had been printed in a fortune cookie factory. Back then, the problem was hype. Today, the problem is paperwork. We have institutionalised the appearance of analysis. Venture firms hire analysts who produce 50-page reports filled with SWOT charts, Porter’s Five Forces, and tokenomics breakdowns—all derived from the same public press releases and Twitter threads. The reports are beautiful. The insights are zero.
The template I saw yesterday is a perfect artifact of this culture. It had a section for 'Technical Innovation'—N/A. 'Token Supply Distribution'—N/A. 'Market Sentiment'—N/A. The author was not lazy. They were honest. They admitted they had no information. But the template forced them to pretend they did. And the end reader—a fund manager, a community member, a new entrant—walks away thinking a serious analysis was performed. It was not.
Core: Why Real Analysis Demands Primary Observation
I learned this lesson the hard way. In 2017, as the lead community liaison for MakerDAO’s early development team in Cape Town, I was responsible for vetting over 200 community submissions. Each proposal came with a white paper, a roadmap, and promises. I could have filled a template and moved on. Instead, I spent weekends reading Discord histories, checking smart contract code for hidden admin functions, and calling the developers to ask uncomfortable questions. I found three projects that were outright scams, and another five that were reckless economic experiments disguised as innovation. No template could have caught them.
Real analysis requires three things: access to primary data, the willingness to be wrong, and the humility to say 'I don't know'. The first is easier than ever. On-chain data is a public ledger. You can trace whale movements, examine liquidity pools, and measure developer activity without asking permission. The second is harder. Our industry rewards certainty. A report with 'Strong Buy' or 'Overweight' gets more attention than a nuanced 'We need more data'. The third is nearly impossible. Admitting ignorance is seen as weakness.
But the best analysts I know—the ones who saved their communities during the Celsius collapse in 2022, the ones who warned about the Terra death spiral in real-time—they all said 'I don't know' at some point. And then they went to find out.
The On-Chain Detective Work
Take the case of a recent Layer-2 project that claimed to be 'decentralized'. The template would have listed 'Sequencer Decentralization: N/A' and moved on. But a real analysis would ask: Who controls the sequencer? Is it a single AWS server in Virginia? Has the admin key been rotated? Are there any upgradeable proxy contracts with a multi-sig that three people control? These are questions that require looking at Etherscan, not reading a white paper. I spent a weekend tracing the contract addresses and found that the 'decentralized' sequencer was a single address with a Gnosis Safe held by four people—three of whom worked for the same venture firm that led the funding round. That is not decentralization. That is a compliance shield.
Templates cannot capture that. They are designed for averages, not anomalies. And blockchain is an anomaly machine.
Contrarian: The Honesty of N/A
Here is the counter-intuitive truth: the 'N/A' report was actually more honest than most. The author did not invent data. They did not extrapolate from a single tweet. They let the emptiness speak. In a world where every project has a tokenomics chart that shows a 'community allocation' of 40% but the fine print reveals that the 'community' is the founding team's second wallet, an honest N/A is a gift.
But honesty without action is useless. The next step after N/A should be 'go find the data'. Not 'fill the template with assumptions'.
I have seen this mistake destroy livelihoods. In 2022, during the bear market, I pivoted my platform to offer psychological and financial counseling for 500+ distressed investors. The number one cause of their pain was not market volatility—it was trusting analyses that were built on empty frameworks. They read a report that gave a project a '9/10 technical score' and invested their savings. The report had no on-chain verification. It was just an opinion wearing a suit.
Building a Better Standard
Since then, I have developed a simple rule for my own work: every analysis must contain at least one piece of information that cannot be found in the project’s own documentation. If I can’t find something that the team doesn’t want me to know, I haven’t done my job. That could be a subtle pattern in wallet addresses, a missed deadline in the GitHub commit history, or a community member who quietly left the Discord. These are the signals that matter.
In 2020, when I launched 'SoulBound'—a volunteer-run educational cooperative for women in emerging markets—I applied the same principle to teaching. I did not hand my students templated investment theses. I taught them how to read a block explorer, how to check a token’s holder distribution, and how to spot the difference between a genuine governance proposal and a rubber-stamp vote. The result was not just knowledge—it was empowerment. One of my students later discovered a rug-pull before it happened by noticing that the deployer wallet had been funded from a Binance account that was also used by the project’s CEO. No template would have caught that.
Takeaway: Reclaiming Analysis as a Craft
We are at a crossroads. The blockchain industry is maturing. Institutional money is flowing in. But with maturity comes the temptation to bureaucratic rigor over real rigor. The next time you read a report that looks impressive, ask yourself: where is the data that isn’t on the project’s website? Where is the evidence that the analyst actually looked at the blockchain?
If the answer is 'N/A', put the report down. And go look for yourself.
'Code is law, but ethics is conscience.' And data is its scripture. We cannot afford to worship empty pages.
Signatures: - "Code is law, but ethics is conscience." - "Solidarity over speculation." - "Culture on-chain, heart on-screen." - " ⚠️ Deep article: For those who want more than templates."
