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LIBERTY — Liberty County School Board Regular Meeting, Tuesday, July 14, 2026.
Our parent watchdogs have scanned the upcoming agenda for LIBERTY. We found 2 items that need your immediate attention before the vote.
| ⚠️ NEEDS REVIEW (LEVEL 5) |
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Using Your Tax Dollars to Lobby Against You
The board is voting to pay annual dues to the Florida School Board Association (FSBA) under item 9.D. The FSBA is a powerful lobbying organization that often takes positions on state legislation that can undermine parental rights, promote controversial ideologies, or increase state control over local schools. This vote uses local tax dollars to fund a political group that may not represent the values of parents in this district.
Recommended Action Plan
DEMAND TRANSPARENCY: Contact the District Office at (850) 643-2275 and ask to speak to the Superintendent’s office. Ask: ‘Before the Board approves Item 9.D, can you provide a public statement on the FSBA’s recent legislative positions? Do they align with our community’s commitment to parental rights?’
💰 Taxpayer Impact: Annual Dues to a Political Lobbying Group
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| ⚠️ NEEDS REVIEW (LEVEL 4) |
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Training for Increased Student Data Collection
Under item 9.F, the district is sending the High School Tech Coordinator to the Florida Association of Educational Data Systems (FAEDS) conference. These conferences often promote comprehensive student data collection systems, digital surveillance tools, and social-emotional learning platforms that can track non-academic information about students without clear parental consent. This training could be the first step toward purchasing invasive new technology.
Recommended Action Plan
OPT-OUT ALERT: Contact the District Office at (850) 643-2275. Ask: ‘Regarding Item 9.F, what new data systems or student surveillance technologies will be promoted at the FAEDS conference? We want a commitment that no new data collection platforms will be purchased without a public review and a clear parental opt-out process.’
💰 Taxpayer Impact: Cost of travel and conference fees, potentially leading to expensive data-mining contracts.
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