Abstract: The sensitivity of prediction index directly determines the accuracy of coal seam outburst risk prediction, research on the sensitivity of predictive indicators is the key to the prevention and control of coal and gas outburst disasters.Taking Zhongling coal mine as the research object, this paper establishes a set of research methods to determine the sensitivity of local prediction indexes.Firstly, the law of coal and gas outburst is analyzed, and then the sensitive factors controlling coal and gas outburst are revealed.On this basis, the sensitivity analysis standard of local predictors is established.According to this standard, field investigation experiments are carried out on the sensitivity of different predictors.There is no obvious correlation between q and the geological structure, gas content and in-situ stress of outburst sensitive factors.There is a certain correlation between cuttings S and geological structure and in-situ stress, but there is no obvious correlation between S and gas content.The cuttings desorption index K₁ has obvious correlation with the above factors.q is the least sensitive to the prediction of outburst risk of coal seam, S has a certain sensitivity, and K₁ is the most sensitive to the prediction of outburst risk of coal seam.