Science1 distinct publisher2 min readUpdated
A San Jose State team says the fault under Santa Clara County is not decelerating. The rate, its uncertainty band, and the journal are all still missing.
The Scientist · Science desk

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Slip rate does one job in a hazard model. It sets how fast strain accumulates on a segment, which the USGS describes as the pressure that eventually gets released as an earthquake [8]. Raise the rate on a segment and the model has to spend that strain somewhere: more frequent events, larger ones, or some mix. A model that assumed the stretch through southern Santa Clara County was slowing over time [7] has been budgeting less strain there than the San Jose State group now says it receives [3].
The number that would let anyone redo that budget is not in circulation. The account of the work carries no rate in millimetres per year, no uncertainty range, and no figure for what the superseded assumption was [16]. The USGS framing quoted alongside it, that crustal blocks typically move a few millimetres to a few centimetres per year [8], spans a factor of ten. "Consistent with the rate in Northern California" [7] is a comparison, not a measurement. The work is unpublished and still in review, and according to Discover the team decided public awareness came first [5]. A structural engineer setting a design spectrum, or an analyst tuning a catastrophe model for Santa Clara County exposure, cannot substitute awareness for a value with error bars.
That rationale also sits oddly against what Kim Blisniuk, the geologist leading the work, told ABC7 Bay Area: that once her team had the data the slip rates were not particularly surprising, and that people already know cities and infrastructure sit on the fault and that earthquakes happen there [4][10]. So the finding is unsurprising to residents and surprising only to a model. Discover keeps the consequence conditional too, saying the results could affect how long-term hazard is estimated in the region [9].
Segment behaviour matters here because segment length sets the ceiling on a rupture. The 1906 event broke about 270 miles of the fault at magnitude 7.9 [12], roughly a third of the zone's 800-mile mapped length [1][17], and early counts of about 700 deaths were probably low [13]. Loma Prieta in 1989 managed 63 deaths from twenty seconds of shaking at magnitude 6.9 [14]. Both sit in the same strike-slip zone that runs through the state's major cities [1][2].
What the pre-review publicity actually delivers is a downgrade rather than a revision. The deceleration assumption for this segment moves from load-bearing to provisional, and nothing can replace it until the rate and the dated offset markers behind it are on paper.
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According to new information from San Jose State University, the fault is slipping faster than previously thought.
The research is led by Kim Blisniuk, an Associate Professor of Geology at San Jose State University.
The San Andreas Fault zone stretches about 800 miles along California, including through some of the state's major cities.
It is a strike-slip fault responsible for several of the most destructive earthquakes in California's history.
The research is still under peer review and has not been published in any scientific journal; the researchers believed it was best to raise public awareness.
The team studied the part of the San Andreas Fault that stretches through Sanborn County Park in Santa Clara County, California.
Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Thin and second-hand
A single publisher relays an unpublished, under-review finding that reached the public through a local TV interview. The core assertion carries no numeric slip rate, no uncertainty band, and no prior-estimate baseline, and no journal, preprint, or dataset is identified. The well-sourced portions of the article are historical background (1906, Loma Prieta, the USGS slip-rate definition), which are solid but do not evidence the new claim.
Not applicable in supplied sources
The supplied material records no release, deployment, benchmark, procurement, code change, or hazard-model revision attributable to this finding. The article says only that the findings 'could affect' long-term hazard estimation; nothing indicates any agency, model, or building-code process has taken it up. There is no basis for an adoption measurement without inferring facts the sources do not provide.
Headline outruns the data
The framing 'slipping faster than previously thought' is a comparative quantitative assertion presented with no quantity, no uncertainty, no prior value, and no peer review or publication. That gap is the story. It is not a maximal gap, because the publisher discloses the pre-peer-review status up front and quotes the lead researcher saying the slip rates are not particularly surprising, which pulls the piece back toward its evidence.
Disclosed pre-publication publicity
The article states the researchers went public before publication because they believed it was best to raise public awareness, which is a disclosed motive to communicate ahead of peer validation. The publisher's own incentive is visible too: it builds a general-interest explainer with historical earthquake material and preparedness advice around a local broadcast interview. Both incentives are stated or plainly observable in the text rather than inferred, but no funding, commercial, or institutional interest is disclosed either way.
Low
Confidence in the overall assessment is limited by a one-publisher, one-item cluster with no primary document. The claims that are firmly established here are the background facts and the meta-facts about the finding's status; the substantive scientific claim cannot be confirmed or refuted from the supplied material, and adoption is simply unmeasurable.
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1 article · August 21, 2026