The model that currently best describes evolution and structure of the Universe (referred to as Lambda-CDM or LCDM) is consistently in agreement qualitatively and quantitatively with virtually all observations we make. And with the enormous increase in the amount of data coming from different cosmic probes (for example, Type Ia supernovae, galaxy surveys, gravitational lensing, the cosmic microwave background [CMB], etc.), our ability to extensively cross-check results and improve our theoretical understanding is only growing. But LCDM isn’t perfect, and when multiple independent measurements of the same parameter are involved, there arises the distinct possibility of finding results that are in tension with each other—the measurements don’t match up, even when error bars are taken into account.