System Inertia
The Problem
Continuous voting gives citizens a powerful tool to influence government. However, this power carries a risk: voters may react not only to real events but also to gossip, rumors, deliberate lies, provocations, and slander.
If voting results were to be implemented instantly, then:
- Officials would change too frequently
- The political system would become unstable
- Manipulators could exploit short-term mood swings
The Solution: Inertia
The system must possess inertia — a property whereby moving it out of a given state requires either a sufficiently strong or a sufficiently prolonged influence.
Inertia is achieved by turning the system into an integral (summing, cumulative) device. The results of small influences gradually accumulate, and changes occur only as significant influence builds up.
The Accumulation Mechanism
Electoral Points (EP)
Each day during an electoral race, the difference between vote percentages is calculated:
EP(day) = P(candidate) − P(incumbent)
This difference is added daily to the accumulated result:
EP(accumulated, day N) = EP(accumulated, day N-1) + EP(day N)
Race Completion Conditions
- Candidate wins:
EP(accumulated) ≥ threshold(e.g., 3,700) - Candidate loses:
EP(accumulated) ≤ 0(all accumulated points lost)
What This Means in Practice
A candidate cannot win instantly, even if their popularity surges dramatically. A sustained advantage over an extended period is required.
Thresholds for Different Levels of Government
Thresholds may differ depending on the level of office:
| Level | Proposed Threshold | Minimum Duration at 10% Margin |
|---|---|---|
| President | 3,700 EP | ~1 year |
| Governor / regional head | 2,500 EP | ~250 days |
| Mayor / city head | 1,500 EP | ~150 days |
| Decisive voting (law) | 1,850 EP | ~185 days |
Higher offices require a longer and more sustained advantage for replacement, ensuring stability at the highest levels of government.
Empirical Verification
Using political approval ratings of U.S. presidents, we can estimate how quickly a power transition would occur under continuous voting:
| Year | Candidate 1 | Candidate 2 | Max. Margin | Min. Duration (days) |
|---|---|---|---|---|
| 1936 | Roosevelt (D) | Landon (R) | 66% | 56 |
| 1944 | Roosevelt (D) | Dewey (R) | 14% | 264 |
| 2008 | Obama (D) | McCain (R) | 6% | 616 |
| 2016 | Trump (R) | Clinton (D) | 5% | 740 |
| 2020 | Biden (D) | Trump (R) | 6% | 616 |
The minimum duration is calculated as 3700 / max. margin. For example, for 1936: 3700 / 66 ≈ 56 days. However, this is a theoretical minimum that assumes the maximum margin is maintained every day throughout the entire period.
The 1936 case (66% margin) is a historical anomaly — Roosevelt won an overwhelming victory over Landon, and such a margin in ratings is extremely unlikely under normal conditions. Excluding this extreme case, the fastest power transition would require at least 264 days (at a 14% margin in 1944).
It is important to note that all the durations listed are significantly underestimated. The maximum margin typically holds for only a short time — for example, in 1944, the 14% margin was observed in only one month out of nine, and the average margin over 9 months was only 4.8%. Thus, actual power transition timelines would be significantly longer than the theoretical minimums shown.
Protective Properties
Inertia provides:
- Predictability — all trends are visible in advance; there are no sudden changes
- Protection from manipulation — short-term information attacks cannot quickly change power
- Time for reflection — both citizens and officials have time to react to changes
- Smooth transitions — power changes occur gradually, without shocks to the system
- Stability — the system is resistant to random fluctuations in public opinion
Analogy
The inertia of continuous voting can be compared to a low-pass filter in electronics: the system passes sustained long-term trends and filters out short-term noise and fluctuations.
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