Can we predict failure-time of geo-hazards? This question, poses a traditional rock mechanics problem. It is a challenge to date in the rock mechanics field to precisely predict failure-time of geo-hazards, and geo-hazards still pose major threat to life and major loss in terms of economics. The focal point of our research is to predict failure-time of geo-hazards. Firstly, we evaluated the validity of the INVerse-velocity (INV) method to predict failure-time of rock mass and landslides. And as a merit, the method utilizes rates of displacement (du/dt) or strain (d /dt) to predict the actual failure-time (T f ), so the value of total displacement or strain before "failure" is not crucial. Secondly, we developed a new method for computing failure-time predictions based on the SLOpe (gradient) to predict T f , termed the SLO method, which will be described in detail in the paper. And in tally, a simple conceptualised model representing "safe" and "unsafe" predictions was proposed.To validate these hypotheses, prediction of rock mass failure, Asamushi and Vaiont landslides (in situ studies) was conducted.Furthermore, laboratory conditions were incorporated into the research, which are: (i) predictions using circumferential strain c and axial strain a from uniaxial compression creep test on Shikotsu welded tuff (SWT); and (ii) predictions of failure-time for Inada granite under Brazilian creep tests. It was realized that SLO method is better than the INV method; SLO gave safe predictions in all the cases. In contrast, INV tends to give unsafe predictions (predicted failure-time T fp > T f ). Our findings reveal that predictions using c are better than using a for SWT, and notably, given failure with very short tertiary creep, the methods tend to show limited reliability. However, SLO method could find extensive application in predicting failure-time of geo-hazards, for instance, roof wall failure in mines etc.; this method is promising in reducing fatalities and damage to property which industry and society still face at present.