California has more money than projected after admin miscalculated state budget

Scope and Nature of the “Miscalculation”

  • Error stems from CalPERS pension contribution calculations: double-counting contribution rates and using incorrect rates for future years, totaling around $2B.
  • Some commenters accept the administration’s framing as a forecast revision that will be corrected in the next budget update.
  • Others argue this is plainly a calculation error, not a “revision,” and see the wording as evasive and disrespectful to the public.
  • Several note that $2B is under 1% of California’s ~$200B+ budget and that multi-step revisions are common in budgeting.
  • Others say a mistake of this size shows serious incompetence and justifies broader distrust of state numbers and priorities.

Transparency, Accountability, and Pensions

  • Criticism that legislative leaders knew for months but did not disclose publicly; some see this as “hiding” the issue for political advantage.
  • References to prior cases (e.g., state parks surplus) where agencies allegedly concealed funds to avoid cuts or gain leverage.
  • CalPERS is described as having weak fiduciary discipline because pensions are state-guaranteed, and as dependent on above-market returns via aggressive investing.

Deficits, Refund Rules, and Structural Policy

  • Clarification that California still faces a deficit; the “extra” money only reduces the projected shortfall.
  • Discussion of refund/cap mechanisms: Oregon’s “kicker” and California’s Gann limit that force refunds or constrain spending when revenues exceed projections.
  • Critics see these rules as bad policy that prevent building reserves in boom times and worsen cuts in downturns.
  • Others worry that even earmarked reserves get politically “raided,” and suggest tying constraints to indicators like unemployment instead of revenue surprises.

Education Funding and Enrollment Dynamics

  • One thread links the miscalculation to current school cuts: layoffs, program eliminations, and a sharp post-COVID funding “snap-back” as federal support ends.
  • Counterpoints emphasize that CA’s K–12 spending is high in absolute terms and roughly comparable to or above many OECD peers as % of GDP.
  • Another perspective: these comparisons are outdated or ignore California’s high cost of living and recent budget stress.
  • Declining K–12 enrollments (lower birth rates, reduced immigration) are cited as a major driver of current cuts.

School Administration, Technology, and Costs

  • Strong debate over whether school budgets are “gutted” or just rebalanced amid falling enrollment.
  • Several commenters argue that administrative staffing has grown excessively (counselors, coordinators, specialists) and could be cut without harming outcomes.
  • Others respond that many such roles exist because of legal, regulatory, and mental-health needs; removing them would be felt by students and teachers.
  • Disagreement over whether education should or can become cheaper with technology:
    • One camp notes that teaching is labor-intensive and subject to Baumol’s cost disease; class size reductions and human interaction matter.
    • Another argues that tech (Khan Academy, online curricula, AI for grading/lesson prep) can meaningfully increase “per-teacher productivity” for some students.
    • COVID-era remote learning is widely cited as evidence that fully online schooling fails most kids, though some report strong results for motivated students.
  • There is broad recognition that teachers face increasing paperwork and compliance burdens driven by administration and policy, reducing time with students.

Broader Sentiment on State Governance and Taxation

  • Some commenters see the incident as another sign that the state “hasn’t got a clue” where money goes and “keeps overspending.”
  • Others contextualize that the surplus is modest relative to long-run risks (e.g., a possible $18B deficit if growth undershoots projections).
  • Comparisons of gas prices and total tax burden across states appear, with mixed anecdotal and data-based claims; overall differences are portrayed as smaller than many assume.
  • A minority voice calls for aggressive, independent investigations into potential fraud or intentional misrepresentation, predicting instead that officials will “investigate themselves” and avoid accountability.