Inductive reasoning involves making a number of recorded observations, that can then be expanded upon with further observations to become a generalisation.

This kind of reasoning can even be used to propose what will happen with observed future — such as the sun rising every other day you’ve seen it, means you can infer that it’ll rise tomorrow.

In addition, inductive reasoning can also be used for the general to the specific and vice versa — a number of one kind of trees observed in a forest could then be used as a basis for your reasoning that there’ll be more in another part of the forrest. Inductive reasoning can involve sampling, patterns, causal relations and collection of statistics.

As previously discussed with arguments, even though one might seem convincing or have a certain flow in their structure, it doesn’t necessarily mean that it is going to be a good argument. Not all reasoning that results in a ‘some’ or ‘most’ will result in definitely or necessarily an ‘all’.