Recently, Trump, the focus of the political arena, has set off a campaign storm in Pennsylvania. He has frequently appeared in major cities in the state, trying to win the hearts of voters through a series of passionate speeches. On Trump's social media, videos of his speeches in Pennsylvania have sprung up like mushrooms after rain, constantly calling on voters to cast their precious votes for him. However, this campaign has caused great controversy. Data from multiple polling agencies show that Trump's winning rate in Pennsylvania is ahead of his opponent Harris, but this result has triggered a fierce debate between the pros and cons. One side believes that Pennsylvania, as a famous "swing state", will have a crucial impact on the presidential election; while the other side questions this view, believing that voters' attitudes are complex and changeable, and cannot be simply regarded as the key to determining the outcome of the election.

The importance of Pennsylvania in the presidential election is self-evident, not only because it has 20 electoral votes, ranking high among all states in the country, but also because the state has a diverse population composition and represents a microcosm of the United States. From a historical perspective, candidates who win Pennsylvania almost always win the presidential election, making Pennsylvania an important weather vane for predicting election results. However, there are different opinions on whether Pennsylvania is really the key to determining the outcome of the election. Some analysts pointed out that although Pennsylvania plays an important role in the election, voters' attitudes are not static and are affected by many factors. In addition, although the number of electoral votes is important, it is not the only factor that determines the outcome. Therefore, it may be too one-sided and arbitrary to regard Pennsylvania as the "only key" to determine the outcome of the election. On the contrary, a more comprehensive analysis of the election situation in each state and a comprehensive consideration of multiple factors should be made to make more accurate predictions and judgments.