Listen and read USA nuclear forces Emergency Action Messages, heard on 11175 kHz

Original Article ↗ Hacker News Discussion ↗

Shortwave enthusiasts are tuning into U.S. military high‑frequency broadcasts on 11,175 kHz that carry Emergency Action Messages (EAMs), the low‑bandwidth, highly resilient signals used to convey encrypted nuclear command and control orders. Commenters explain how these one‑time‑pad messages fit into broader deterrence strategy, the role of HF and other channels in ensuring second‑strike capability, and why bursts of traffic typically reflect routine exercises rather than imminent crisis. The thread also notes the site’s AI‑generated interface text, prompting side remarks on how easily current large language models’ stylistic tics can be spotted.

Nature of EAMs and HF Traffic

  • The site streams US nuclear Emergency Action Messages (EAMs) on HF (e.g., 11175/8992 kHz); most messages are routine and not predictive of events.
  • Several commenters stress that spikes in message volume generally reflect exercises or routine activity and “mean nothing” operationally from an outside observer’s standpoint.
  • Messages are preformatted, highly repetitive, and low-bandwidth, carrying short codes that map to pre‑planned targeting/arming data already loaded on missiles.

Encryption and Communication Channels

  • Consensus that EAMs are encrypted with a one-time pad (OTP); the crypto method itself is not secret, only the pad and the operational meaning.
  • Some skepticism is raised about OTP being perfectly implemented, but others argue nuclear command and control (NC2) is where mistakes are least likely.
  • HF is described as a primary, resilient medium for critical comms, especially when satellites are assumed degraded or destroyed.
  • Former Navy personnel describe “doomsday” exercises: ships listening to HF EAMs, writing them down, and relaying them via HF to create a global, beyond-line-of-sight network for reaching nuclear submarines.
  • Extremely low frequency (ELF) is mentioned for submarine comms, though noted as no longer used by the US.

Nuclear Strategy, Timelines, and Civil Defense

  • One subthread notes ballistic missile flight times: ~13 minutes from a submarine-launched Russian missile to US targets, perhaps double for land-based.
  • This short warning window is cited as a reason civil defense shelters became less emphasized; others counter that long-term bunkers with stored food/water could still sustain a “skeleton crew” state, though rebuilding society would be extremely hard.
  • Discussion of “launch on warning” vs. China’s historically more restrained “minimal deterrence” posture, with claims (from a cited report) that China is moving away from strict no‑first‑use and no‑launch‑on‑warning.
  • Russian “dead hand” (Perimetr) is framed as a misunderstood system intended to ensure second‑strike capability after leadership decapitation; contrast is made with current leaders having first‑strike authority.

Skyking, Frequencies, and Trivia

  • “Skyking” messages are referenced as special high-priority broadcasts; some confusion remains about the exact purpose (often characterized as “go/no‑go”).
  • Practical listening notes: messages are simulcast on multiple HF frequencies due to varying propagation by time of day; 8992 kHz is mentioned alongside 11175 kHz.
  • Trivia: in some test periods, message content used band names/pop references, later explicitly cancelled via follow‑up messages.

AI-Generated Copy and Style Debates

  • A large side discussion criticizes the site’s descriptive text as obviously LLM‑generated, with recurring phrases and “LLMese” style.
  • Commenters debate which AI models produce more or less grating prose, with mixed experiences about different versions’ verbosity, error rates, and stylistic tics.
  • Some are glad AI text is still easy to spot; others argue undetectable AI text likely already exists in narrower contexts.
  • Concerns include:
    • Ease of mimicking specific authors via style analysis and feedback loops.
    • The prospect of younger users adopting “LLM speech” patterns.
    • The general “darkening” of the information environment as AI content becomes less distinguishable from human writing.