I need to explore beyond the basic survival patterns already shown to find something truly counterintuitive. Let me investigate some less obvious relationships. {"action": "tool_call", "reasoning": "The evidence shows expected patterns (women survived more, first class survived more, families did better than solo travelers). To find something counterintuitive, I should look at fare vs survival - one might expect higher fares to correlate with survival, but let me check if there are anomalies where expensive tickets didn't help or cheap tickets did surprisingly well.", "tool": "query_sql", "args": {"sql": "SELECT CASE WHEN Fare = 0 THEN 'Free/No fare' WHEN Fare < 10 THEN 'Very cheap (<$10)' WHEN Fare < 30 THEN 'Moderate ($10-30)' WHEN Fare < 100 THEN 'Expensive ($30-100)' ELSE 'Very expensive ($100+)' END AS fare_bracket, COUNT(*) AS passengers, SUM(Survived) AS survived, ROUND(100.0 * SUM(Survived) / COUNT(*), 1) AS survival_rate_pct, ROUND(AVG(Fare), 2) AS avg_fare FROM raw.titanic WHERE Fare IS NOT NULL GROUP BY fare_bracket ORDER BY avg_fare", "purpose": "Check if survival correlates linearly with fare paid, or if there are counterintuitive patterns", "source": "raw"}}