Greta Gustava Martela / Kjel Anderson & Nina Chaubal / Niraj Chaubal - Stole $350k+ from Trans Lifeline, kill count of 2+ from negligence, Founders of Sisterwood/La Zorra.

randomfarmer said:
Trans Life Line seems unnecessary when every single tranny knows each other already.

It's almost like a hive mind. Get skinny or fat, some ugly as shit tattoos, fuck up your hair, stick metal in your face and consider yourself "not male" and suddenly you connect in to the matrix with the rest of the non conformist piss puddles claiming to be women.
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The Rat King rises.
 
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Courtesy of a transexual dude on Jasper's page (name edited out so Greta can't witch hunt him)
IMG_20160818_114416.jpg


Apparently according to TLL if you're a FtM you aren't a real tranny
 
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Okay, I'm going to show you guys my data and feel free to join me in laughing out loud at now transparent attempts at fucking with my data aggregation.

# Counting number of minutes where 0 volunteers were on duty.
sqlite> select count(1) from volunteer_stats where created_at >= date('now', '-14 hours') and volunteer_count=0;
147

# Counting number of minutes where 1 or more volunteers were on duty.
sqlite> select count(1) from volunteer_stats where created_at >= date('now', '-14 hours') and volunteer_count>0;
875

So if we were just looking at this, you'd see that 2 hours and 27 minutes out of the last 14 hours were completely unstaffed. For night-time off-hours on a Thursday, this is pretty good. What's shocking is the comments and I'll show you what I mean.

I mentioned the three significant pieces of information: the comment id, the call id, and the level. I mentioned that each comment has an incremental id, each call has an incremental id, and each real call has a "level" of severity. Also, all operators are required by the directors to comment on each call they take. Lets look at how comments are doing.

In the last 14 hours,

sqlite> select comment_id,call_id,level from comments where written_on >= date('now', '-14 hours') order by comment_id desc;
14362|70080|1
14361|70061|
14360|70060|
14359|70059|
14358| |
14357|70010|3
14356|70035|
14355|70034|
14354|70032|
14353|70033|
14352|70024|4
14351|70020|1
14350|70016|1

Okay, lets look at what we know from this.

In the last 14 hours, there were 12 comments posted.
Out of those twelve comments posted, 11 of them had a call id. The one that didn't was an operator saying she was going offline.
Out of those eleven call comments posted, the earliest referenced call id 70016 and the latest referenced 70080. That's a difference of 64. I can assume safely that each call increments the call id.
Out of eleven call comments posted, only 5 were significant and had a level.

What does this mean?

Even though in the last 14 hours of Trans LifeLine saw 64 calls, only 11 were answered by staff, and only 5 resulted in a conversation with staff and a transgendered person.

It also means that in the last 11 hours and 33 minutes of staffing coverage (5 hours and 12 minutes of which had more than one operator online), operators took fewer than 1 call per hour while receiving more than 10 per hour.

tl;dr: wew lads

I should add:
This isn't conclusive because I can't see operator details, but the alternative is that the operators taking these calls are not leaving any comments which means they're violating their own rules and not leaving any information for peer review or for review by directors. This adds a lot to the stories of people saying that FtM white trans people are being told to fuck off since there's no fucking way to know what's going on or when people take calls.
 
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Null said:
Okay, I'm going to show you guys my data and feel free to join me in laughing out loud at now transparent attempts at fucking with my data aggregation.

# Counting number of minutes where 0 volunteers were on duty.
sqlite> select count(1) from volunteer_stats where created_at >= date('now', '-14 hours') and volunteer_count=0;
147

# Counting number of minutes where 1 or more volunteers were on duty.
sqlite> select count(1) from volunteer_stats where created_at >= date('now', '-14 hours') and volunteer_count>0;
875

So if we were just looking at this, you'd see that 2 hours and 27 minutes out of the last 14 hours were completely unstaffed. For night-time off-hours on a Thursday, this is pretty good. What's shocking is the comments and I'll show you what I mean.

I mentioned the three significant pieces of information: the comment id, the call id, and the level. I mentioned that each comment has an incremental id, each call has an incremental id, and each real call has a "level" of severity. Also, all operators are required by the directors to comment on each call they take. Lets look at how comments are doing.

In the last 14 hours,

sqlite> select comment_id,call_id,level from comments where written_on >= date('now', '-14 hours') order by comment_id desc;
14362|70080|1
14361|70061|
14360|70060|
14359|70059|
14358| |
14357|70010|3
14356|70035|
14355|70034|
14354|70032|
14353|70033|
14352|70024|4
14351|70020|1
14350|70016|1

Okay, lets look at what we know from this.

In the last 14 hours, there were 12 comments posted.
Out of those twelve comments posted, 11 of them had a call id. The one that didn't was an operator saying she was going offline.
Out of those eleven call comments posted, the earliest referenced call id 70016 and the latest referenced 70080. That's a difference of 64. I can assume safely that each call increments the call id.
Out of eleven call comments posted, only 5 were significant and had a level.

What does this mean?

Even though in the last 14 hours of Trans LifeLine saw 64 calls, only 11 were answered by staff, and only 5 resulted in a conversation with staff and a transgendered person.

It also means that in the last 11 hours and 33 minutes of staffing coverage (5 hours and 12 minutes of which had more than one operator online), operators took fewer than 1 call per hour while receiving more than 10 per hour.

tl;dr: wew lads
Click to expand...
That's a lot of dead trannies.
 
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Null said:
Okay, I'm going to show you guys my data and feel free to join me in laughing out loud at now transparent attempts at fucking with my data aggregation.

# Counting number of minutes where 0 volunteers were on duty.
sqlite> select count(1) from volunteer_stats where created_at >= date('now', '-14 hours') and volunteer_count=0;
147

# Counting number of minutes where 1 or more volunteers were on duty.
sqlite> select count(1) from volunteer_stats where created_at >= date('now', '-14 hours') and volunteer_count>0;
875

So if we were just looking at this, you'd see that 2 hours and 27 minutes out of the last 14 hours were completely unstaffed. For night-time off-hours on a Thursday, this is pretty good. What's shocking is the comments and I'll show you what I mean.

I mentioned the three significant pieces of information: the comment id, the call id, and the level. I mentioned that each comment has an incremental id, each call has an incremental id, and each real call has a "level" of severity. Also, all operators are required by the directors to comment on each call they take. Lets look at how comments are doing.

In the last 14 hours,

sqlite> select comment_id,call_id,level from comments where written_on >= date('now', '-14 hours') order by comment_id desc;
14362|70080|1
14361|70061|
14360|70060|
14359|70059|
14358| |
14357|70010|3
14356|70035|
14355|70034|
14354|70032|
14353|70033|
14352|70024|4
14351|70020|1
14350|70016|1

Okay, lets look at what we know from this.

In the last 14 hours, there were 12 comments posted.
Out of those twelve comments posted, 11 of them had a call id. The one that didn't was an operator saying she was going offline.
Out of those eleven call comments posted, the earliest referenced call id 70016 and the latest referenced 70080. That's a difference of 64. I can assume safely that each call increments the call id.
Out of eleven call comments posted, only 5 were significant and had a level.

What does this mean?

Even though in the last 14 hours of Trans LifeLine saw 64 calls, only 11 were answered by staff, and only 5 resulted in a conversation with staff and a transgendered person.

It also means that in the last 11 hours and 33 minutes of staffing coverage (5 hours and 12 minutes of which had more than one operator online), operators took fewer than 1 call per hour while receiving more than 10 per hour.

tl;dr: wew lads
Click to expand...


11 calls answered out of 64 is 17% response rate which is even lower than the 19% from before lol
 
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So page 5 already has issues.

Was it ever proven that they had people taking calls who was under 18? Being over 18 is a rule stated on page 5.

"Be on the line and take phone calls is all we ask" goes without saying why this isn't true.

I love that they use tumblr for reference guides.

This whole thing is just a joke.

Edit: page 6 states that they are partnered with the National suicide prevention lifeline. I thought Greta has stated otherwise and actually is agains trans people calling it because "how could a cis help?!"
 
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So I'm going to pull some Level 4 comments from the db to show you guys what an average comment looks like.


#70015 level 4-5 caller was crying, said they were afraid of dying, they didn't want to go back to the psychiatric ward, that they wanted to have their parent's support during therapy. Told them I was here to listen that they're not alone. More crying and then they said "thank you, thank you, I have to go" and hung up.

70013 - level 4 - FTM, caller experiencing anxiety attacks. Friends aren't available right now to talk to. We talked for a bit, discussed some coping techniques. I also mentioned some online support groups since they were worried they were being a burden to their friends, and of course I said they could call the lifeline anytime they needed to talk for a bit. They do have a cat that helps calm them down when they are feeling anxious. Caller thanked me for talking with them, and said they were feeling less anxious by the end of the call. They were going to spend some time cuddling with their cat.


I've not seen a full L5 yet. Most calls are L1.
 
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I can now say FOR A FACT that their on-call resources are not actually taking calls.

My buddy was determined to know if someone would take his call so he dragged me into a skype chat and called them up. We were put on hold and after about 30 seconds of violin music we got that robodialler "no one was available to take your call" message.

So yes, people are "on-duty" to take calls but no one is actually taking calls at fucking 1 pm, so it's time to adjust the algorithm for my twitter bot. There are three people online, the last call comment was fucking 2 hours ago. These guys are not helping anyone.
 
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