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Chapter 10: The New Normal

Stability was quiet and unassuming. It was silent, steady, like a ventilator's breathing rhythm.

In the two weeks following V1.1, the base gradually regained its momentum. Production increased again; turnaround time decreased; green charts outnumbered red ones. People began talking about the numbers as if they were proof of ethics.

On Monday morning, the internal bulletin had a large line at the top: Average weekly production +2.7% compared to before patching. Below that was a graph; to the right was a small section explaining how V1.1 contributed to reducing the rate of unexpected incidents. Everyone read it, nodded, and moved on to something else. The joy was quiet: a smile at seeing a good number.

Daily life returned to routine. Shifts were less stressful. Lunch breaks were more stable. Meetings were still frequent, but purposeful: adjustments, fine-tuning, measurement. When incidents occurred, people didn't yell; they opened tickets, updated data fields, and waited for classification. The system responds; people follow.

That month, there were three minor reports of personal injury—a few serious illnesses requiring care, a temporary respiratory failure, an operational injury. All were within established limits. Reports were processed; logs closed; charts didn't add new lines. People looked at the final numbers and breathed a sigh of relief.

“That’s normal,” a district chief said in the meeting room. His voice wasn’t dismissive; it was simple. “We have procedures. We have limits. We have patching. What happened was within acceptable limits.”

That statement didn’t spark debate. It just hit the right frequency: many wanted a clear framework to rely on. That framework was temporary safety. That framework allowed them to work without the feeling that every action they took could create a tragedy.

One afternoon, as I walked past the living quarters, a group of young men asked me about him—the security representative with the gray badge, who had abstained from voting. They heard the story more as an anecdote than a moral issue: someone who had once refused to choose. They chuckled faintly and moved on to talking about duty schedules. The old story faded into a piece of news in base history—told, not necessarily acted upon.

However, the new normal doesn't mean indifference. There are small, awakening moments: a mother in Zone F bursting into tears at the sight of a nurse running past with a bag of medicine; a technician falling silent before a control panel upon seeing the words THRESHOLD – ACTIVATED: 0.87% on the screen. These moments are short, easily forgotten. They don't disrupt the rhythm. They exist only as small scratches on a polished surface.

The system continues to update. New data was introduced: frequency of chronic diseases by micro-zone, average age, repair history. The algorithm rebalanced the weights; fewer human-in-the-loop entries appeared when the safety parameter was ensured. Each update, the software team wrote a short note: Optimization goal: reduce downtime, maintain safety at threshold X. Tracking tables were sent to the teams; the teams remembered to read them; and then everyone continued working.

Economics played a role. Some departments proposed increasing shifts to compensate for lost output when implementing V1.1. Others proposed reorganizing the distribution routes to reduce pressure on vulnerable areas. These proposals all led to one thing: choice, consideration, and ultimately a publicly acknowledged decision. The decision was made as part of normal operations; it was recorded in minutes, costs were calculated, and benefits were balanced.

In another corner, a team of three—a technician, a programmer, and a medical representative—sat together after work. They talked about a small bug they had just patched. The programmer sighed, “We fix a bug, and then another one pops up. It’s like cleaning the tabletop only to find dust underneath.” The technician chuckled, “But at least the table is tidy now.” They laughed, then went home.

There was a common feeling: we were living by a new contract. A contract not written down, but present in our actions: accepting a certain level of loss to keep the rest functioning. That contract ensured continued production, gas supply, and heating for crowded areas. In return, some people would be on the margins of the statistics—data, not names.

I recalled the old saying: A person who exists wrong. Here, it wasn’t an accusation; it was a description. Some people fit the model; some don’t. The new normal coats that with a layer of rationality: instead of calling it a sin, we call it a parameter.

And when the parameter is accepted, it gives rise to new behaviors. People learn to count, compare, rank. People learn to ask: Does this exceed the threshold? Does that fall on the priority list? That question makes decision-making easier—sometimes too easy.

Night falls. In the control room, the screens display green data. Under Threshold – Reference, the percentage is 0.63%. Under WHITE SHEET – FREQUENCY, the number flickers slightly but steadily. I write a few notes, close my journal, and go outside. The planetary wind blows, hitting the steel shell of the base, like a constant background sound.

Before turning off the lights, I think about something simple: normal can be a gift. Yeah. It allows people to sleep soundly. But normalcy is also a subtle trap—because once we get used to it, we see everything else as unstable. And humans, instinctively, seek to maintain what they call stability.

Tomorrow, someone might ask: can we further reduce the loss rate? Maybe. We'll answer with a spreadsheet, a patch plan, and a new decision. We'll continue. And each time, the surface of normalcy will be smoothed a little more.

Somewhere in the system, there's a checkmark: Point of no return—untouched. That line is blank.

I turn off the screen.

Out there, the base breathes steadily. And normalcy continues.