feeding the pixels

Shelter from Your Storm (Part 23)

Blindspot fanfic.

(Part 1 | Part 2 |  Part 3 |  Part 4 | Part 5 | Part 6 | Part 7 | Part 8 | Part 9 | Part 10| Part 11 | Part 12 | Part 13 | Part 14 | Part 15 | Part 16 | Part 17 | Part 18 | Part 19 | Part 20 | Part 21 | Part 22)

We got a third season!!! I am still feeling giddy about it. I’ve been kind of dragging my feet about writing the end of this story, because I just couldn’t handle saying goodbye to both the canon world and my fictional version. Nah, I don’t get attached to fictional characters at all… But yay, here’s to the season finale (OMG, that promo!!), the coming season, and all the fanfiction that they will inspire! Hugs to our whole fandom!!


There wasn’t room to pace in the surveillance van.

But that didn’t stop Kurt from trying, looking from Patterson’s screen to Tasha’s.

“Did you get into their security feed yet?” he demanded.

Patterson glanced up, a reproachful look in her blue eyes. “This isn’t a 7-Eleven, Weller. There’s a lot of encryption here. We’re going as fast as we can.”

He grunted, moving back to Zapata. “Are their comms on yet?”

Zapata shook her head. “Nothing yet.”

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misc. chibi kags b/c kags is life =w=
from top to bottom L to R: preschool kags, grump (hobo) kags, swimsuit kags, punk rock kags

What the public needs to understand is that the video provided by a drone is a far cry from clear enough to detect someone carrying a weapon, even on a crystal-clear day with limited clouds and perfect light. This makes it incredibly difficult for the best analysts to identify if someone has weapons for sure. One example comes to mind: “The feed is so pixelated, what if it’s a shovel, and not a weapon?” I felt this confusion constantly, as did my fellow UAV analysts. We always wonder if we killed the right people, if we endangered the wrong people, if we destroyed an innocent civilian’s life all because of a bad image or angle.
What the public needs to understand is that the video provided by a drone is not usually clear enough to detect someone carrying a weapon, even on a crystal-clear day with limited cloud and perfect light. This makes it incredibly difficult for the best analysts to identify if someone has weapons for sure.

One example comes to mind: ‘The feed is so pixelated, what if it’s a shovel, and not a weapon?’ I felt this confusion constantly, as did my fellow UAV analysts. We always wonder if we killed the right people, if we endangered the wrong people, if we destroyed an innocent civilian’s life all because of a bad image or angle.