IDDS 2.1 formalizes online argument escalation

More than a universal law of discourse, IDDS reads like a useful moderation lens: the win is naming transition states that can be observed and modeled, not pretending every conflict follows one clean path.

• –D_flag is the strongest addition because it separates identity disclosure from identity-triggered escalation.
• –MPF is a smart callout for moral language that hides hostility from plain sentiment analysis.
• –Silence bypass and transient dogpile groups capture how blocking often stops exposure, not the underlying conflict.
• –The cross-platform, bilingual claim is interesting, but the framework will need clearer labeling and evaluation before it becomes more than a compelling theory.
• –The public footprint is still thin, mostly the Reddit thread `https://www.reddit.com/r/artificial/comments/1s2yzgb/i_built_a_formal_state_machine_to_model_how/` and GitHub paper release `https://github.com/JohannaWeb/Monarch/releases/tag/2.1.paper`, so the next bar is reproducible data rather than a sharper narrative.