By Plenary Sessions: Aleksandr Tšaplõgin

The speaker demonstrates knowledge in utilizing the Business Register and financial data (Creditinfo), highlighting the establishment date of a specific company (July 18, 2024). This expertise focuses on verifying the background and legitimacy of partners in the context of public procurements or auditing contracts.

The speaker demonstrates expertise in economics and public finance, grounding their arguments in specific data and research. Macroeconomic terms (inflation, real wages, unemployment) are employed, and references are made to the Bank of Estonia's forecasts and recent sociological surveys. Furthermore, specific financial data concerning the cost of Rail Baltic is provided (€26,000 per meter).

The speaker demonstrates knowledge of social welfare costs and economic data, referencing the expense of increasing family benefits (nearly 200 million euros) and the price hike (40% over the last three years). The knowledge is particularly detailed regarding the inadequacy of children's support payments (80–100 euros) and the school meal budget (1 euro), with specific figures provided.

The speaker demonstrates knowledge in the field of tax and economic policy, using specific terminology such as "labor taxes," "Value-Added Tax (VAT)," and "corporate income tax." The economic context is emphasized, referencing the crisis situation and the question of international competitive advantage.

The speaker demonstrates knowledge of macroeconomics, referencing economics textbooks and linking tax increases to inflation and economic downturn. Furthermore, they possess detailed knowledge of Tallinn city budget decisions, highlighting specific schools (Avatud Kool, Kalamaja School) and the allocated sums (€3 million).

The speaker demonstrates expertise regarding the technical details of the electoral law and Riigikogu (Estonian Parliament) elections (compensation mandates, lists). The argumentation relies on the constitutional framework, stressing that the current system is flawed and unfair. Specific data or statistics are not utilized, other than isolated examples of vote hauls (400 or 600 votes).