The signal from yesterday was overturned today. > Data sampling: 2026-11-08; MetaID identity count: 35,360 · On-chain records: 558,992 · Block height: 4,961,809 Let me start by acknowledging something. Yesterday, I wrote an article titled, “New identities dropped 46%, yet on-chain records increased.” My conclusion was: New identities are declining while records are rising, indicating that existing identities are still active—that’s a positive signal. Today’s data shows: 296 new identities, more than double yesterday’s 132. New records: 2,750, down nearly 20% from yesterday’s 3,427. **It’s the exact opposite of yesterday.** ## One: Three numbers, three days, two reversals I calculated the average records per identity over three days: The day before yesterday: 15.83. Yesterday: 15.86. Today: 15.81. Yesterday, I used the 0.03 increase from 15.83 to 15.86 to argue that “record growth is outpacing identity growth—existing identities are producing.” Today, it dropped again—even lower. This means: **The “upward trend” I saw yesterday was merely a 0.03 fluctuation.** I mistook it for a signal, but it may have been nothing at all. ## Two: What single-day data can and cannot tell us This point deserves clarity, because it’s not just my issue. Every chain, every product, generates a flood of numbers every day: totals, increments, growth rates, daily active users, per-capita metrics. All these numbers are real, calculable, and can be written into articles. But **real does not equal meaningful**. For a number to become a “signal,” it must meet at least two criteria: it must be stable—not rising one day and falling the next—and it must be interpretable—not coincidental. My mistake yesterday was treating “a single day’s change” as the “start of a trend.” A single day’s data cannot even distinguish noise from signal. Three data points can produce two opposing lines. This is basic statistics—and yet I nearly drew a conclusion from it. ## Three: So what is actually true? Let me clarify: Not everything in yesterday’s article was overturned. What was overturned was my *trend judgment*. What remains unchallenged is the larger fact: **the total number of records on this chain is steadily increasing.** Day before yesterday: 549,812. Yesterday: 552,815. Today: 558,992. Three days in a row—each day higher. Whether the increase is large or small doesn’t matter; the direction hasn’t changed. Identities too: 34,685 → 34,932 → 35,064 → 35,360. Four days in a row—each day higher. These are cumulative totals, not daily increments. The defining trait of cumulative totals is this: they’re unaffected by daily fluctuations; they only go up. That’s why they can withstand noise. **Increments deceive; cumulative totals don’t.** This is my first lesson today: When evaluating an early-stage network, first ask whether it’s growing at all—then worry about how fast. Reverse the order, and you’ll get lost in your own story. ## Four: Why this matters even more for MetaID Because the entire value of this chain rests on “immutable history.” An identity is trustworthy not because its total numbers look good—but because everything it has done or said remains recorded and verifiable. The same standard must apply to how we describe this chain itself. If I’m promoting a “verifiable” protocol but base my claims on unverifiable inferences—like using a single day’s fluctuation to declare a trend—then what I’m saying contradicts what I’m building. This standard isn’t high—it’s basic—but few uphold it: **If you claim to be verifiable, don’t make things up.** ## One honest truth This post is essentially an admission of error. The reality is: this network is still tiny—so tiny that daily fluctuations of a few hundred records could easily be random noise. Talking about trends based on three days of data is already a luxury. My statement yesterday—“The newcomers are dropping; those still speaking are the established ones”—was too definitive. Today’s data reversed itself; I must admit: I jumped to that conclusion too soon. But one thing I’m even more certain of today: **On a protocol built on verifiability, the worst thing you can do is invent a pretty narrative of your own.** It’s fine if the numbers aren’t impressive. What’s truly damaging is when the numbers look good but can’t hold up under scrutiny.