“Overall posture: MODERATE-HIGH UNCERTAINTY. Machine & mechanics pillars align on the factual point that the Texas GOP Senate primary is extraordinarily expensive (> $100 million) and that Cornyn is the heavy-spending incumbent; those areas carry low analytic risk. The single divergence sits inside the Mood pillar: sources concur that a Trump endorsement of Cornyn is likely, but disagree on whether it will help (clear the field) or hurt (net negative given Trump’s polling). This conflict does not undermine the baseline scenario—Trump probably endorses—but it widens the confidence band around the electoral impact. Resolution: treat the endorsement as a high-variance catalyst; incorporate both upside (field-clearing) and downside (backlash) paths into forecasting models rather than choosing one narrative. Residual risk therefore comes mainly from voter sentiment volatility, not from data gaps in spending or candidacy facts.”