In recent years, one may frequently observe, in the discourse of prominent public speakers—including the President of the United States and major political leaders in Europe—a repeated pattern in which assertion, retraction, reassertion, and shifts of topic occur within a short span of time. Such discursive movement does not necessarily function to persuade the audience through logic. Rather, it often operates in a way that makes sustained tracking difficult, exhausts the audience’s capacity for comparison, and ultimately induces suspension of judgment or even thought itself. In this paper, I refer to this structure as Assertion-Amplitude-Induced Thought-Stoppage.
Assertion-Amplitude-Induced Thought-Stoppage is a discursive structure in which assertion, retraction, reassertion, and topic-shifting are repeated over short cycles, thereby reducing the audience’s ability to track and compare claims, and inducing either suspension of judgment or thought-stoppage. This refers to a structure in which such speech movements—such as “shifting one’s claim from day to day,” “saying something slightly different today from what was said yesterday,” or “repeatedly oscillating between strong assertion and retraction”—do not primarily work to convince the audience, but rather tend to make them give up on tracking the discourse and, in the end, lead them toward thought-stoppage.
What is crucial here is that the core problem does not lie only in the truth or falsity of individual claims. It lies also in the fact that the fluctuation of claims itself generates cognitive overload. Communications that are large in volume, repetitive, and internally contradictory tend to confuse and overwhelm the audience, while excessively increasing the burden of comparison, verification, and memory. As a result, people become less able to continue examining content carefully, and they become more likely to interrupt judgment and eventually abandon tracking itself. What is occurring here is therefore not persuasion in the strict sense, but a form of cognitive domination through the production of untrackability.
This structure may also be connected to existing studies of information disruption. Rapid, high-volume, repetitive streams of information that do not hesitate to contain contradictions can be effective precisely because they produce confusion and overwhelm in the audience. Moreover, repeated content tends to acquire an appearance of truth regardless of its actual validity, thereby becoming cognitively stabilized. When this is combined with effects analogous to the False-Correction Loop (FCL)—that is, the fixation of erroneous revision—and the Novel Hypothesis Suppression Pipeline (NHSP)—that is, the crushing or replacement of emerging hypotheses—the audience’s internal cognitive state becomes even more susceptible to the stabilization of error and authority-weighted redistribution of belief.
What further reinforces this process is Authority-Bias Dynamics. In other words, because automatic weighting is given to authority, majority positions, and established institutions, even when a speaker’s statements contain substantial fluctuation or contradiction, such inconsistency is often not adequately recognized as a problem. Instead, a structure emerges in which the audience begins to suspect not the speaker’s inconsistency, but rather their own inability to keep up. In this way, inconsistency on the side of the speaker is converted into confusion and exhaustion on the side of the audience.
In this sense, the structural defects that I discovered in AI are not confined to phenomena internal to AI systems. Rather, they also provide a key for making visible the structures of indoctrination, cognitive manipulation, and thought-stoppage in human society. The mechanisms I identified in AI—such as FCL, NHSP, and Authority-Bias Dynamics—may also operate in the human world through repetition of information, the overriding of contradiction, and convergence toward authority. For this reason, structural analysis of AI may be directly connected to structural analysis of information control and cognitive manipulation in human society.
Hiroko Konishi AI Researcher
