Just want to call attention to the sheer strength @yifan_xing_e and @killnicole have exhibited in coming forward with their accounts. For those who watch #MeToo unfolding around them, it might look easy to do. It's not. A thread.
Both were women & total newcomers. One hadn't even graduated from university yet, and still was interviewing for her 1st job. They were both taken advantage of by a prominent person known in the *global* Scala community at face value as one of our friendliest/kindest individuals.
For the past >10yrs, Jon has been single-handedly the *most* present individual in the Scala community. For years, he attended nearly every Scala conference *globally*. Going as far as acting as the chairman of the Scala Center Advisory Board early in the Scala Center's life.
Now, cut to these two women. Behind closed doors, Jon made sure that these women knew he was well-connected and that he could help them. And that the sexual experiences he put them through should be no big deal, using I-can-help-you argument to keep them in contact/under control.
What's so insidious about this is that Jon is very good at managing his image, being present, and projecting a kind/friendly persona. This kept him in this position of power over these women for years– he knew we all knew him, but we didn't know these newcomers, so he was on top.
Now put yourself in the shoes of these women. You're already at a disadvantage as a woman for seeming "emotional"– it's an immutable characteristic we all get labeled with. Take in addition that these women were new to our community, & were getting off the ground w/ their careers
If you were one of them, would you feel comfortable coming forward when you have so much you could possibly lose, even before your career got off the ground? I think I *still* don't have the strength to do what these women did, even as someone a bit further along in my career.
So I just want to register that we should all be looking up to @yifan_xing_e and @killnicole for having bravery we seldom encounter. For revealing what had been happening under our noses, when it might seem we'd all side with this seemingly kind person we have known for 10+ years
I'm incredibly proud of @yifan_xing_e and @killnicole for being braver than I and many others could be.

It breaks my heart that this happened on our watch, and as always, I'm here for you ❤️

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Heather Miller

Heather Miller Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @heathercmiller

5 Dec 19
What ever happened to people taking responsibility for their actions?

Like, if you say or do something shitty, why is it so rare that people own up and apologize?

Why is it cool to "dig in" now on obviously ridiculous shit?
I grew up in an uneducated, lower-middle class family. If you messed up, someone told you, you apologized, you rectified whatever was wrong, and you moved forward and forgot it. And did right from then on.

As I hung around more educated people in my life, this has gone backwards
Like, people increasingly can't talk about stuff that goes wrong, because ego.

How does this even make sense?
Read 4 tweets
10 Jul 19
Not at @usenix #ATC19/interested in WTH @cmeik's Partisan is?

I'll live tweet it for yinz❤️

Partisan is:
a distributed runtime that removes assumptions made by initial dist actor runtimes (Dist Erlang, Orleans, Akka) & allows for significantly increased scalability & throughput
First point, the use of actors in distributed systems is popular and common in industry. (This can be a contested point depending on the audience.) Examples:
Distributed actor runtimes currently have limitations that affect them in 2 dimensions:

- scalability
- latency

We want to scale to larger clusters. We want to use all available network bandwidth.

But we don't want people to have to change their code or to need a new VM!
Read 15 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!