Considering I have yet to hear back regarding the murch of it all, I will adjust my approach to effecting change on LNSM: Oreo-style.
Part 1: Cookie
Heyyyy buddy! We’ve had so much fun these past few weeks. Right? You’ve been doing great. Really. Your transition from reused sanitization cards to typing out points (I assume) on printer paper has not gone unnoticed. And who could forget A-Jack-U-Lator?! Revolutionary.
Part 2: Icing
So. Here’s the tough part. I will be brief.
First, a few graphics suggestions that I feel were buried in the Masterdoc.
Week of 5/2
Blowing coat was too great not to revisit. It deserved at least an impression, a crudely configured graphic (see above) or a mug (see below).
Speaking of jokes that deserved more time…when you get thrown something as incredible as Metro Gnome: take it, AND RUN!! For example:
Second, and most important: What is a Jackal if not a fan of your ever so graceful callbacks?! We here at Missing F have really been enjoying the return of FaceTime with Andy (and NYT Spelling Bee commentary, Wordle is hack). We also love when our Timeline comes in handy:
Seth! Andy! Babies. If FaceTime with Andy! was reintroduced for any purpose other than Fine Young Cannibals/Nicolas Cage comedy…ima.b.pissed. I fear we are being set up for what turns out to be a FIVE WEEK bit, plugging Chip n’ Dale: Rescue Rangers. I will cry. I will riot. I will turn my tens of readers against the show. Worst of all, you will have disappointed me (a sweet innocent lil girl with dreams, who cannot take much more rejection).
This goes without saying (or much evidence) but if Mystery LA friend is John Mulaney…it’s over between us. Remember this:
I do.
Corrections, need I remind you, is canonically anti-IP.* Don’t hand over this bit to a media conglomerate. Listen to 2018-Andy, nearly three Hotel Transylvania-s deep. (That was catty, constructive criticism shouldn’t be catty.)
Honestly, I don’t know what I will do with my Friday morning manic energy if it’s not updating and hawking my Corrections updates. I’m sure Rescue Rangers is a funny and thoughtful rendering of once beloved (now forgotten) characters. However, ideally I’d prefer for the worse IP-chipmunks and their IP-pals from Media Conglomerate-o-polis to mind their own damn business.
*I do not speak for Seth Meyers or the LNSM team, but if I were to characterize Emmy-eligible short-form digital content (comedy or drama), Corrections would be 20th Century Women and Carpool Karaoke—any Marvel property besides WandaVision (and Loki for impression purposes).
Part 3: Cookie
It was brave and beautiful exposing the truth about Grimace to an audience. Just incredible. Make McDonalds answer for their nightmare tastebud.
That’s all. Please (please please) take my advice. It’s free (for now).
A late-night Corrections master-doc... Yes Please, Awesome work Isabel Keep it up! It would be so awesome to have some sort of Elasticsearch or MongoDB database for the corrections. I think a schema-free architecture would be perfect for a dataset like this. I'm working on a bot to crawl YT comments (CC maybe in the future) for Jakal-like keywords for identifying the Jackals community corrections, log them and then give unique id, associated episode, metadata..etc. As of now, each log entry has to be human matched to the timecode but scrapping the Closed Captions (cc) could help link a proposed Jakal's correction to the error in the video. Each episode is then given a "jack-rate" of 0.1-5.0 based on the total correction count and the weight of each said correction. Using Grafana then visualize the data dynamically on a webpage with the analytics and referenced source material from the jackals to studio 8g. Also the same could be applied to Corrections itself like taking minutes in a corp. meeting but speech to text from compressed audio :( From as back as I've looked no Closed captions auto-generated are not enabled. Thoughts? Got any csv's or xls's of any of this data that you could share? in need of more training data to model on helping with the context of a given correction to be accurately detected. @fdaniels