Female Founder Secrets: Men Clamming Up

I'm really glad to see this here. I don't have a better word readily available than sexism for trying to talk about patterns like this but when I use the word sexism, I think people think I mean "Men are intentionally exclusionary assholes just to be assholes because they simply hate women." and that's never what I'm trying to say.

I find my gender is a barrier to getting traction and my experience is that it's due to patterns of this sort and not because most men intentionally want me to fail. But the cumulative effect of most men erring on the side of protecting themselves and not wanting to take risks to engage with me meaningfully really adds up over time and I think that tremendously holds women back generally.

I think gendered patterns of social engagement also contributed to the Theranos debacle. I've said that before and I feel like it tends to get misunderstood as well. (Though in the case of Theranos it runs a lot deeper in that she was actually sleeping with an investor.)

What is described in the article isn't sexism - it's fear. Fear of being labeled as a sexist.

It’s probably both.

The men are assuming based on the female founder’s gender _alone_ that she might accuse him of sexism.

Regardless of how rational this fear is, they are stereotyping new female founders they’re meeting for the first time based on what an X% of other female founder’s have done in the past.

For the men, it’s probably a risk/reward calculation. Keep your head down and be polite and have ~0% chance of being accused of sexism. Or, speak up and maybe ruffle some feathers and have a ~X% chance of being accused of sexism.

You can see the problem on both sides of the equation, but withholding advice based on gender alone does meet the definition of sexism, regardless of the intentions of self-protection rather than hate.

I don't know the solution to this problem, but I do think that turning it into a Morton's fork ("men are sexist regardless of whether they speak or not") is not it.

Instead of playing semantics by saying that "it is technically sexism" (and I'm not saying I agree with whether it actually is or not), we could choose to at least stop phrasing the situation like that.

You’re not sexist if you give honest feedback to both genders. But you are at risk of being falsely labeled sexist if you do. It’s a bad situation I agree, but we won’t fix it by giving into the fear of being labeled.

In a culture where there are huge negative consequences for being labeled a $BAD_PERSON on twitter, people are obviously going to be more careful with everything they say. To expect them to behave differently is nonsense. You can't expect everyone to want to risk their careers and face painful, public, humiliating backlash for your own benefit. It's normal and healthy for people to want to protect themselves, in the same way that it's normal not to immediately trust strangers.

The real problem is the cancel culture. That's what needs to be fixed. A twitter mob shouldn't be able to cause as much damage as they do. There should be laws preventing people from being fired because of social media. Maybe everyone who's ever been fired or had negative career consequences due to a twitter mob should get together and bring on a massive class-action lawsuit. Force twitter to fix their toxic lynch mob problem, and let that be an example for any other social media company that wants to capitalize on harmful gossip and mob behavior.

> The real problem is the cancel culture.

No, the real real problem is that in while there is some behavior that is obviously $BAD and others that are obviously not $BAD, there's a large range of behavior for which it's difficult to tell whether it's $BAD or not.

Consider the criminal justice system. Some people are obviously guilty and others are obviously innocent. But in between, there are lots of situations where it's difficult to tell whether the person is guilty or not. Vow to be more "tough on crime", and innocent people spend years in jail (or worse, end up executed). Vow to protect the innocent, and lots of guilty people get away scot-free. And there are criminals who are very good at exploiting this uncertainty.

There was a very insightful essay I saw many years ago which I can't find now unfortunately; but the main point was this: In superhero comic books and movies, the real superpower is certainty. The good guys always know who the bad guys are; it's just a matter of defeating them. In the real world, we have plenty of power to defeat the bad guys; it's just not always clear who the bad guys are.

So take the example from TFA, where the investor thought male founder A would be a better CEO than female founder B. Implicit bias is a real thing, and has been proven in dozens of studies. (For instance, where people are asked to rate the qualifications of a range of CVs, where the gender of the name on the resume is randomized.) Does the investor think A is better than B because of implicit (or not-so-implicit) bias? Or is A genuinely a better fit than B? It's basically impossible to know; even the investor themself may not know.

In the past, things swung very heavily toward "let the guilty go free", which meant implicit bias was allowed to stand unchallenged (leading to more men in leadership, leading to more implicit bias). "Cancel culture" is an attempt to swing things the other way. But it falls victim to the "certainty superpower" delusion: they think they know who the actual bad guys are, and end up taking down innocent people in the process.

What's the solution? In some sense there is no solution: until we have an Oracle of All Truth which we can consult, we will always have uncertainty; which means either punishing the innocent, letting the guilty go free, or some mixture of both. The best thing we can do is honestly acknowledge the situation and try to balance things as best we can.

> So take the example from TFA, where the investor thought male founder A would be a better CEO than female founder B. Implicit bias is a real thing, and has been proven in dozens of studies.

Incredible.

In TFA, this precise same individual did the reverse first. It is hard to argue bias, when someone worked to get a better founder, female, to be CEO...

Yet this is dropped, ignored, in your comment.

So here we see, that even those actively showing non-bias, are labelled as likely biased still?!

If people's prior actions are no longer any remote indication of bias or not, all is lost.

Two examples of his actions with different genders do not show that there is absence or presence of a gender-specific bias.

Decision maker still could have bias towards men or women generally, but in those two cases some other factors could outweigh this bias, even if it actually was present. No way to tell.

The article also mentions this topic, by listing some factors that may influence decision in such situation:

> The degree to which men hold back on their advice depends on 1) how much is at stake and 2) how much they trust you. For example, you’ll be much more likely to get candid advice from an investor who has invested a lot of money in your company and you’ve known for years vs. a panelist at a tech conference giving feedback onstage who doesn’t know you and hasn’t invested in your startup.

> Two examples of his actions with different genders do not show that there is absence or presence of a gender-specific bias.

Precisely. Yet one of these two was being used as an example for unconscious gender bias.

Why were both examples not used, or conversely, one showing a bias benefiting women?

Answer: because the bias is, that all men are biased.

I'm talking about how we as normal people, and the public, respond when we see something like that situation. Suppose the investor had asked the woman to step down in favor of the man. Almost nobody who saw that situation -- not the woman, not the man, not the other people in the company, probably not the other investors, and almost certainly not the general public -- are going to know about the other situation.

> Answer: because the bias is, that all men are biased.

So, in a discussion where we're discussing the possibility that women might see anti-woman bias where none exists, we have a situation where a man sees anti-man bias where none exists.