The article discusses a new method for testing unit roots in data that may have unusual spikes. Traditional tests struggle with these spikes, but the new method focuses on the trend of the data instead. By using this approach, researchers can get more accurate results, especially when dealing with certain types of data patterns. The study provides evidence that this method works well, as shown in an example using real exchange rate data from the US and Finland.