How can bias be avoided in sampling?

Bias can be avoided in sampling by taking the largest and most random sample as possible, as sampling is often biased because it’s impossible to sample every person in a country or the world so scientists will sample a group of people and draw conclusions from their data. This is therefore often inaccurate as people in that area may participate in or be exposed to external factors that could effect test results