Liquefaction is a phenomenon where saturated loose cohesionless soils, especially loose fine sand, significantly lose their strength and stiffness when subjected to applied stress. Typically, this phenomenon happens when there are seismic vibrations that generate an excessive amount of water pressure in the soil, leading it to lose its ability to bear stress effectively and behave similar to a liquid. Essentially, predicting the liquefaction severity accurately is very important for liquefaction-prone sites under different seismic conditions. There are several streamlined techniques for determining liquefaction potential that rely on tests like cone penetration test (CPT), shear wave velocity test (Vs), and standard penetration test (SPT). The simplified method of liquefaction assessment correlated intrinsic uncertainties. The evaluation of liquefaction initiation, taking into account the uncertainty in input parameters, is rarely recorded. This article elucidates a procedure based on reliability to evaluate the susceptibility of saturated poorly graded fine sand (SP) to liquefaction within a framework based on probability. To build the deterministic model required for probabilistic assessment, a simplified method is used. Monte Carlo simulation (MCS) is then utilized to assess the likelihood of liquefaction. Subsequently, random variables and their coefficient of variance are subjected to sensitivity studies in order to identify the variables whose level of uncertainty substantially affect the probability of liquefaction (PLi) and the factor of safety (FS) to prevent liquefaction. The primary finding is that, in comparison to the FS derived from a deterministic study, probabilistic liquefaction analysis provides a more thorough understanding of the susceptibility of saturated poorly graded fine sand to liquefy.