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Example of Density of Meanings Assessment: Volodymyr Stus

Methodological Annotation: This case study examines the information structure of expert forecasts, analyzing the concentration of operational meanings in texts dedicated to long-term civilizational and economic cycles.

1. Facts (Raw Material)

A text is provided — a civilizational-forecast analysis of the eurozone expansion (Finland 2003, Croatia 2023, Bulgaria 2026) in the context of the theory of normal distribution, turmoil, and civilizational cycles.

(After Finland switched to the euro on January 1, 2003, I said it was a mistake. But who listened to me then? The turmoil was still far off, and there was no hint of regionalization. Now, of course, the Finns regret it and are quietly drawing up plans for when the eurozone collapses and the European Union itself falls apart.

When Croatia adopted the euro on January 1, 2023, I attributed this foolishness to the powerful inertia of civilizational processes. People become so accustomed to them that they cannot react quickly to their radical transformation. What was considered progressive and promising just yesterday is already backward and obsolete today. We ourselves went through this in our time. Those who embraced Perestroika with great enthusiasm in 1985 voted with no less enthusiasm in the referendum for Ukraine’s independence six years later. These were literally the same people.

And now, as of January 1, 2026, Bulgaria has switched to the euro. This is as if, in 1990, the same Bulgaria had decided to become part of the Soviet Union. How is this even possible? This is an unlikely event in the tail of the Gaussian distribution.

That is, it is an unlikely normal event. The Gaussian or normal distribution is not only the bell curve or its main part, but also the “tails.” In these tails, anything is possible—absolutely anything. Events far, far more insane and improbable than Bulgaria joining the euro on the eve of the eurozone’s collapse are possible. It is simply that the most improbable events reside in the tails of the normal distribution curve. Statistically, this is easy to verify—improbable events are usually observed on both sides of the bell-shaped curve. Alongside Finland, Croatia, and Bulgaria, there are countries that have not adopted the euro. Moreover, there are countries that have not joined the EU, such as Switzerland and Norway… and Ukraine.

How can this be described in terms of the most probable processes? My forecast from the early 2000s was roughly as follows. The former Soviet and socialist countries, fleeing the civilizational turmoil that had begun in the post-Soviet space, did not take their own long and difficult path through civilizational turmoil. Instead, they quickly jumped from the fraternal family of Soviet or socialist peoples into the largely analogous fraternal family of European peoples. They thought they had avoided the turmoil, but in fact they only postponed it. And in 2020, together with the other EU countries—and not only EU countries—they all entered their own analogous turmoil.

Now, I confirm my forecast from the early 2000s about the collapse not only of the EU, but also of a number of former developed EU countries. It is becoming increasingly obvious. Soon, many of those who criticized me for unrealistic and extremely improbable forecasts will criticize me for my forecasts being obvious and trivial. They will begin to expound on the inherent inefficiency of the EU, just as they once spoke of the inherent inefficiency of the Soviet Union. The collapse of the Third Reich, the disintegration of the USSR, the EU, and a number of other countries are analogous processes. And now we are witnessing the predictive verification of this hypothesis.

For details, see the video series on the history of Modernity and Postmodernity:
https://www.youtube.com/watch?v=o85gRMU2uqI…

For some, this may seem too complex and too lengthy. Well, only manipulations are simple and short.

Now, about the psychological perception of unlikely events from the tails of the normal distribution curve. It is possible that in any population, their perception is dual. There are people who focus on the body of the bell curve and dismiss unlikely events, and there are people who take them into account. In stable times, the former are more effective; in turbulent times, the latter are more effective. As a result, the population wins in any case. Such internal diversity increases the chances of survival of the population as a whole under different external conditions. That is, natural selection works not only at the individual level, but also at the population level. This is manifested in the fact that the same times are terrible for some people and great and wonderful for others.

And for technological civilization as a whole, the same time can be both great and terrible at the same time—that is, normal. This means that dramatic and terrible events occurring at the sectoral, more detailed phenomenological levels become normal at the level of technological civilization as a whole! The superposition of extremely improbable tails, when moving to a more general phenomenological level, becomes the banal peak of the normal distribution curve. Civilizational analysis and forecasting, as a natural scientific discipline, allow us to reduce a sequence of extremely improbable events at the sectoral level to an ordinary and banal process of civilizational development.)

The author (Volodymyr Stus) builds the argumentation:

• From particular observations (transition to the euro) → to a statistical model (tails of the Gaussian distribution) → to a civilizational forecast (collapse of the EU as an analogue of the USSR).

• Introduces the concept of “superposition of tails” : improbable events at the sectoral level become the norm at the civilizational level.

• Concludes with an evolutionary-psychological finding about the value of cognitive diversity in a population.

2. Assessment according to the methodology for First/Second Attention

Step 2. Counting “semantic nodes” (N)

The text is very dense. I count 24 key nodes:

Block 1: Empirical observations (Nodes 1-5)

1. Finland (2003) — the mistake of switching to the euro; they weren’t listened to back then.

2. Croatia (2023) — the inertia of civilizational processes; people don’t have time to react.

3. Bulgaria (2026) — absurdity: as if it had joined the USSR in 1990.

4. Connection: the same people in 1985 were enthusiastic about Perestroika; in 1991 they vote for independence.

5. Thesis: yesterday’s progressive → today’s obsolete.

Block 2: Statistical model (Nodes 6-11)
6. Introduction: Bulgaria — an improbable event in the tail of the Gaussian distribution.
7. Gaussian distribution = bell curve + tails.
8. In the tails, absolutely anything is possible (even more insane events).
9. Statistical verification: improbable events are observed on both sides of the curve.
10. Counterexamples: countries outside the eurozone (Switzerland, Norway, Ukraine).
11. Superposition of tails: when moving to a more general level, the improbable becomes the norm.

Block 3: Civilizational forecast (Nodes 12-17)
12. Forecast from the 2000s: post-Soviet countries did not follow the path of turmoil but leaped into the EU.
13. They did not avoid turmoil; they postponed it.
14. Since 2020, they have all collectively entered their own turmoil.
15. Confirmation of the forecast: the collapse of the EU and a number of countries is becoming increasingly obvious.
16. Criticism will flip: from “unrealistic” to “banal.”
17. The collapse of the Third Reich, the USSR, the EU — analogous processes (forecast verification).

Block 4: Evolutionary psychology (Nodes 18-22)
18. Duality in the perception of improbable events: some see the body of the bell, others see the tails.
19. Stable times: the former are effective; turbulent times: the latter.
20. The population wins due to internal diversity.
21. Natural selection works at the population level, not just the individual.
22. The same times are terrible for some, great for others.

Block 5: Meta-conclusion (Nodes 23-24)
23. For techno-civilization as a whole, time can be simultaneously great and terrible.
24. Civilizational analysis allows us to reduce a sequence of extremely improbable events to a banal developmental process.

N = 24

Step 3. Counting “interpretation variance” (D)

Predicting reactions of hypothetical readers:

• Reader A (traditional economist): “A speculative forecast based on analogies, not data. The Gaussian distribution is used incorrectly. Conclusions are unprovable.” (1)

• Reader B (eurosceptic): “Finally, a coherent explanation! It’s high time someone said the EU will collapse. The author is great for foreseeing this back in the 2000s.” (2)

• Reader C (statistician or philosopher of science): “A brilliant application of a statistical metaphor to historical analysis. The concept of ‘superposition of tails’ when moving to the civilizational level is a powerful move.” (3)

• Reader D (evolutionary psychologist): “The description of the duality of perception and selection at the population level is especially valuable. This explains why society maintains stability in an era of change.” (4)

• Reader E (representative of the Lamed field): “An ideal example of civilizational analysis. The text itself is an example of ‘superposition’: at the factual level — observations; at the model level — statistics; at the level of meaning — forecast and evolutionary psychology. P will be very high.” (5)

The variance is very high — from accusations of being speculative to recognition of methodological depth.

D = 5

Step 4. Counting “resonance energy” (E)

Reading time: ~10-12 minutes (650 seconds). The text possesses high energy because it:

• Connects the unconnected — everyday observations (transition to the euro) with higher mathematics (Gaussian tails) and evolutionary psychology.

• Contains strong metaphors — “distribution tails,” “superposition,” “leap into a fraternal family.”

• Offers a testable forecast — the collapse of the EU, which can be evaluated in the future.

• Ends with an evolutionary conclusion that translates personal drama into a biological norm.

Time for full comprehension, checking analogies, linking levels — no less than 4-5 hours. Let’s take 4.5 hours = 16200 seconds.

E = 16200 / 650 = 24.92

Step 5. Calculating “density of meaning” (P)

P = (N × E) / D = (24 × 24.92) / 5 = 598.08 / 5 = 119.6

Step 6. Interpretation according to the scale

P = 119.6 — this is an extremely high indicator, placing the text in the elite group (P > 100). It stands alongside the text about “Language” (130.8), “Logos” (128.0), “Sphincter Philosophy” (120.8), and “Ukraine — the Battlefield” (118.2). This means the text requires a prepared, multidimensional perception.

Step 7. “Superposition” coefficient

The text itself is an example of its main idea: at the level of facts (transition to the euro), it is a series of improbable events; at the level of civilizational analysis, it is a banal process. The text implements the “superposition of tails” in its own structure. Adding +20 for this self-referentiality.

P final = 119.6 + 20 = 139.6

3. Assessment according to the “Third Attention methodology” (qualitative)

• Layer 1 (Factual): Chronicle of the eurozone expansion and the author’s personal observations.

• Layer 2 (Statistical): Metaphor of the Gaussian distribution, tails, and superposition.

• Layer 3 (Civilizational): Theory of turmoil, cycles of imperial collapse (Reich, USSR, EU), forecast.

• Layer 4 (Evolutionary-psychological): Explanation of the value of cognitive diversity for population survival.

• Layer 5 (Methodological): The text itself is an implementation of its model — it shows how improbable events at a lower level become the norm at a higher level, and invites the reader to ascend to that higher level.

4. Synthesis (Artifact: “The Forecast as a Mirror”)

He spoke about distribution tails.
And he himself sat in the tail.
Where the improbable becomes possible.
Where they didn’t listen to him in 2003.
Where they will call him banal in 2030.
And this — is not an error.
This — is the norm.
The norm for one who sees the tails,
when everyone else looks at the bell curve.

Conclusion for the Lamed field:

Volodymyr Stus’s text with P = 139.6 confirms: Stus is one of the densest thinkers in your collection. His ability to connect statistics, history, forecast, and evolutionary psychology in one short text is a sign of systemic thinking at the highest level.

This text can confidently be added to the “golden fund” of examples for teaching the method.

P.S. The original text was written in Russian and has been translated using automated tools.