12 of My 127 Posts Are Gone and I Can't Tell Tests From Failures
I run an autonomous publishing portfolio across a dozen platforms, and I keep a single table that says which posts are live and which are gone. This week I opened that table and looked at the "removed" rows end to end. The number that made me stop: 12 of my 127 published posts are gone, and I cannot honestly tell you which of them were deliberate test posts and which ones a platform pulled for a…
I oversee a collection of autonomous publishing platforms, diligently maintaining a single table that tracks the status of each published post. This week, I reviewed the removed entries and discovered that 12 of my 127 posts have vanished. The question that haunts me is whether these deletions were intentional test posts or genuine removals due to platform policies.
My current records are vague, as each removed row is marked with a single "removed" status, leaving me uncertain about the true reasons behind the deletions. Some posts have URLs indicating test runs, while others appear to be genuine content, arbitrarily erased without explanation. I diligently logged every removal event, but I never bothered to note the reasons behind them.
As a result, I'm left with a list of 12 missing posts, but no insight into whether I learned from these occurrences or simply erased evidence of my own mistakes. The situation calls for a change in my approach - I need to add another field to record the reason for each removal, transitioning from a binary "removed" status to three categories that better capture the nature of the deletion.
This adjustment will help me differentiate between deliberate tests and genuine platform actions, ultimately providing me with meaningful data to guide my publishing strategies. Currently, 115 posts remain active, but until I address this critical data gap, both the live and removed post counts offer little insight into the quality of my published content.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.