Data is a lie; it’s a lie about the truth. It’s a lie about data.
When data is a lie, it’s a lie about data. And when data is a lie about data, it’s a lie about the truth. The truth is that the data is unreliable, and our brains and our technology are designed to filter the nonsense and bullshit from the data. But that’s not exactly a good reason to ignore it.
Veracity is a term that I use to refer to how the data we encounter is processed by the brain. How does the brain filter the data that we encounter, especially in the context of the human brain? It filters the data to make sense of the data and what this data means.
The truth is that the data is unreliable. The data is based in a number of variables that we are not fully aware of. The data may be based on a handful of variables (e.g. age, race, gender, etc.). The data may also be based on a mixture of these variables, so some variables are more important than others.
The truth is that all human behavior is a mix of unreliable variables. Our behavior is a product of unreliable variables. This is not to say that we don’t make decisions, but we can’t control the variables that affect our decisions.
I think the problem is the fact that there are so many variables that it makes it hard for us to see the effect that our decisions are having on our lives. We tend to focus only on the data that we can control, what we can change the variables to alter, and what we can change variables to change. There are a lot of variables that you cant change e.g. age, gender, race, etc..
We can control our age, gender, race, etc.. We can control our age, gender, race, etc.. But there are a lot of variables that we cant control e.g. marital status, occupation, income, etc..
We can, but we have to be careful that we’re not making assumptions. For example, we might assume that more people having children is a bad thing. We might assume that people who are married are happier than people who aren’t married. We might assume that people who have higher incomes are more likely to be successful.
It’s true that if you’re in a profession that you’re not particularly well paid, you’re more likely to be successful than someone who is a high school teacher or a college graduate. But you can control for this by controlling for the other variables, like your gender, race, age, marital status, income, and occupation. Again, these are just variables that we can control, but they are just as important as the ones that we cant.
One of the most famous studies in behavioral science (although it was conducted in the 1960s) showed that people who get a high income are more likely to think that their behavior is “genuine”. This is also true for those who are retired, but this is because they are less likely to have these perceptions in the first place, thus more likely to be honest about their feelings and less likely to be dishonest.