Only 12 Black women led startups (yes only 12) have raised
$1MM or more in outside funding since 2012.
Twelve is now "zero"? Only 12 Black women led startups (yes only 12) have raised
$1MM or more in outside funding since 2012.
Twelve is now "zero"?So, translation:
"I'm intentionally trying to deceive you when I say, NO (Meaning Zero) Black Women Have Raised Venture Funding. Definitely zero, not 12...shutup, math is hard, OK?"
Still, these attempts to slice and dice demographics in order to prove one class is held down for the sake of another is pointless and meaningless. It proves nothing. Attempts to use them to enforce draconian measures to elevate a class in the name of equality could just as easily backfire.
The other day, I saw a FB post from an old acquaintance about how racial economic equality needs to be mandated by law for minorities. To which I replied, "Yeah, Asians and Jews have it rough these days".
Astonishingly I was told Asians and Jews are not minorities (news to me). Apparently, minority is code word for being black (also news to me). To which I responded, "yeah Jay Z really has it rough these days".
Unfortunately, my point was lost on this poor soul. In his attempt to "recognize his white privilege" he fell into the Black == Poor trap and when Black != Poor it's just an anomaly. Sorry, but I call that racist.
The fact that Asians are generally a successful minority in the US has no bearing on a poor Asian person.
We need to elevate all the down trodden. Why do we have arbitrarily slice them by race and gender?
The "actual point" of the post is a lie.
(And don't worry, at least you were only off by a factor of 10. The original article is off by a factor of 100).
You could make up similar lies and say that "statistically, the amount of lead in your drinking water is zero", and have it be well less than 12 parts in 10,000, and it's still non-zero, and at neurologically toxic levels. Just because a number is small does not mean that we cannot accurately measure it, nor does it mean that the expected value is zero. Claiming that the expected value is zero when there are twelve in your (large) sample is a horrible misuse of statistics.
24/10000 = 0.0024 -> two tenth's of 1%.... ie... statistically zero..