If you get caught up in batch rejection trouble, I'm here to tell you it's not the end of the world.

So i'm fairly new at MTurk, I started turking March 28th of this year. After about 3 weeks I finally decided that making 4 or 5 dollars a day wasn't enough, I wanted to maximize my profits so I got into the scripts like panda crazy and hit forker. This of course will introduce you to batches from new requesters, something I didn't know too much about at the time. I got greedy.

Cue up late April, I got caught with a lot of rejections in a large [Clint Kahler](https://www.reddit.com/r/mturk/comments/bk22rp/dont_do_any_tasks_from_clint_kahler_rejections/) batch but while this was going on, I saw a lot of people talking about how they got 10-15 rejected, at the most I saw someone had 40 on another forum. I had a whopping *143* rejections from that batch. I felt bad because nobody else's numbers came close to that and they were sounding the alarms. I thought I was screwed. I was making decent traction doing small hits at a high rate so at the time I had about 850 approved hits. This of course means that my approval rate collapses onto itself.

I decided that if I was going to rehabilitate my account, I would have to start doing quick but cheaper hits than I had been doing , this means doing 1 and 2 cent batches that might not be worth the time. MLDataLabeler was a godsend for hits like these but there are others. You just have to make sure to do the work well.

Luckily for me, I ended up [quadrupling](https://i.imgur.com/BvvNZg2.png) my weekly hit intake on some solid batch work supported by a dozen or so surveys a day and by tomorrow I will be back in the 99% approval rating range in probably half the time I thought it would take.

I know of course, everybody's time and circumstances are different but I just figured I'd share this for those who are down on themselves for falling for bad batches or getting a lot of rejections early. It hurts, but with some work and sacrifice it might not be so bad after all! any other stories like this would also be appreciated.