u/Bitter-Bed-3532

ever wonder why the stock market, or even crypto, sometimes just drops like a rock when there's no big news? you're holding your ETFs, everything seems fine, and then a massive red candle just appears out of nowhere.

A lot of the time it has nothing to do with a company's actual long-term value. It's about the market's hidden 'plumbing' and this thing called leverage. Watching the BTC market has been like a lesson on this in fast-forward, and it's taught me a ton about not panicing.

Basically, 'leverage' is when traders use borrowed money to make HUGE bets. This creates a ton of instability. When the price moves against them even a little, their positions get automatically closed, which forces a sale. When this happens to thousands of traders at once, you get a selling cascade. that's a 'liquidation' event.

Right now, for example, BTC is trading sideways around $76k, and the mood is still fearful. There are these tools called 'liquidation heatmaps' that literally show where the big, leveraged bets are clustered together. it's not a crystal ball, more like a map of potential landmines. If the price drifts down to an area with a ton of these bets, it can trigger that whole cascade and cause a flash crash. If it goes up, it can force the people betting against it to buy back in, causing a crazy spike.

So why should you care about any of this if you're just buying and holding VTI for 20 years? because these mechanics are exactly why you see those sudden, scary price drops that have nothing to do with the actual value of your investments. Its just the market’s plumbing cleaning out all the leveraged bets. Understanding this helps you not panic-sell when you see a big red candle that seems to appear from nowhere. It’s not always a sign of doom, sometimes it's just the messy side of the market doing its thing.

This stuff can seem abstract, but you can actually see the stress if you know where to look. this is getting a bit into the weeds, but one place is the 'order book' (the list of buy and sell orders). When I'm checking risk, I don't just look at the pretty heatmap. I check the boring stuff too: the spread between buy and sell prices, and if the order books on smaller exchanges are acting normal. Binance is still my main reference for liquidity, but I'll keep a bydfi BTC/USDT book open on the side sometimes just for a retail-venue sanity check. If the big exchanges look fine but a smaller order book starts getting thin or the spread widens during a move, that's a signal the market is less calm than the candle makes it seem.

The main takeaway for a long-term investor isn't to start trying to trade this stuff. It's to understand that the market has these chaotic, short-term mechanics that have almost nothing to do with your 30-year plan. Knowing a scary drop might just be 'the plumbing' makes it so much easier to stick with your plan and not sell at the absolute worst time.

Was just ordering dominos on my laptop after work.

checkout had a buyhatke popup. applied it and bill was lower than total.

paid less than usual. no coupon nothing something had given me 15% off automatically. no coupon, no offer.

phone app never shows this. found out today completely by accident.

not a big deal but felt like a nice surprise on a random wednesday.

Anyone else noticed this on dominos?

Two years into this I was getting truly fed up with my inconsistency. Not my hooks, my editing, or even my posting schedule ( those things had been locked in for a good chunk of time). The problem was most videos died around the 200-300 view mark before I could even tell what was killing it. Occasional hits carried others along, but the hit rate was garbage.

What I was failing to notice and scrutinize was what my entire content strategy was built on. It seemed strong because I'd solidified it after hundreds of videos. The caveat being I'd only optimized it for what I could see in basic analytics, and basic analytics has an inherent fault: average watch time, total views, engagement rate- all metrics will only tell you what occurred after your video had already died or thrived. By the time you access this data for a dead video, the opportunity to discern what caused it to die is gone.

Instead, I began analyzing the first ten seconds of the video. Looking at frame-by-frame retention graphs of videos that popped versus those that died revealed that the first 5-7 seconds are truly how the algorithm decides if your video has legs. Videos above 70% retention through the first 7 seconds, with rewatch rates of over 25% and patterns indicating interaction with the content itself rather than just getting stuck in the hook for a few seconds, have immense distribution potential.

All I had to change was instead of guessing why my video died, I began to see what specifically people were leaving the video at. Instead of ""people left the video at 40%"", it became ""people left the video at 6 seconds because the static shot for 1.8 seconds put them to sleep"". This perspective shift has carried through all of my content production since then.

This improved hit rate now compounds my month-to-month performance. It is not an overnight fix, but now I know what I am getting into and I no longer spend hours crafting and publishing videos that only fail. When you make content every day, that kind of progress will compound fast.

What you are given access to can only tell you what happened after the deed is done. If you've been making content for a decent amount of time and find that your results are much more random than they should be for your skill level, you lack information. Most creators only have information about the result of the video, not the instant the result was determined.

EDIT: for those asking what I used to do this, it was an app

After two years into this, the random numbers were driving me crazy. It wasn't the hooks, editing, or posting frequency -- those things were mastered already. The massive number of videos that died in between 200-300 views while I tried to figure out what exactly killed them. The few that got popular, of course carried content, but hit rate was abysmally low.

What I took forever to research was the basic foundation of my content strategy. That seemingly perfect content strategy that I was meticulously optimizing and fine tuning with over hundreds of videos. I was optimizing the display of what shows up in basic analytics which are always flawed. Watch time, views, engagement rate... This is all simply readouts after a video has already died or survived. By the time you are viewing this data of the dead video, the window is closed.

I then shifted my focus to a 10-second micro focus. I was actually tracking and examining the pattern on a frame-by-frame basis for the few videos that performed well compared to the videos that didn't. The difference is insane when you know what to look for. In less than 5-7 seconds the algorithm essentially has a strong opinion on pushing your video or not to new viewers, with anything over 70% retention, over 25% rewatch rate, and showing signs of actually observing (not glancing at hook), nearly guaranteed to work.

The key benefit this has brought is that I'm not guessing the point and cause they dropped off from my video anymore, I know the exact frame and cause they were leaving on -- it's not '40% retention' anymore, it's 'the video froze for 1.8 seconds at 6 seconds into the video, and viewers exited the video'. Every decision on every video created is informed by this.

My hit rate is now up to a measurable level where it can actually be charted on a monthly basis and although this is not an immediate fix, the choices I make for every single video have become immeasurably more precise and time wasting decisions have become near zero on a day-by-day posting basis. This is huge.

The truth is, if you have been creating content for a while, you have editing figured out and your hit rate still feels more random than it should be then you have an information problem. Standard analytic data points out the results and not the moments they occurred.

EDIT: For anyone wondering about the tool I used it was this app

After about 2 years of this, the randomness was driving me insane. The hooks, the editing, the posting schedule, that was all solidified in my mind by this point of my grinds career. It was the simple fact that so many of my videos were dying on 200-300 views with zero mechanism of finding out what was killing them. Sporadic wins carried the whole thing, but my hit rate was abysmal.

One concept that it took me an extremely long time to really delve into was the exact thing my entire content strategy was built on. It felt right, I had already tested and tweaked it hundreds of videos deep. The issue was simply that I was optimizing what I could see in regular analytics, and the standard analytics have a major blind spot. Avg. Watch time, total views, engagement rate... These are all just symptoms of success or failure. It is impossible for them to inform you about the root cause of your video's death once they've hit.

I began to study exactly what was happening in the first 10 seconds of a video with surgical precision. Comparing the hour by hour retention on winning videos against dying videos. Once I knew what I was looking for it was glaringly obvious; there is an approximately 5-7 second window of opportunity to determine the success of your video, and how hard it will be pushed by the algorithm. A constant watch rate above 70% in this window with rewatch rates over 25% and a viewing pattern clearly indicative of attention, and not a mouse wheel stuck in motion, would mean your video would receive heavy distribution.

As a result, I had no need to guess at why my videos were failing; I could tell exactly what it was that drove viewers away from my content. I'm not talking about ""viewers dropped off at 40%"", I'm talking about ""viewers left at 6 seconds because the visual was static for 1.8 seconds."" This information is paramount, and would fundamentally change the way any and all content is created from this point forward.

Month-to-month the hit rate has demonstrably increased, not in terms of individual videos becoming an instant hit but in making highly informed decisions on what videos were being made, the amount of wasteful and costly mistakes were cut down, and with the speed of day-to-day publishing the gains were incredibly compounded and rapid.

If you have been making content long enough to have a reasonable grasp on editing skills but your hit rate feels much more random than someone at your level should have, that information deficit will catch up to you and cripple your growth. The tools you are currently using aren't showing you why, only that there was something.

EDIT: This is the app that I used to do this just in case any of you were wondering

We’ve been testing a few ecommerce fulfillment service options lately, and returns + COD are honestly where things start falling apart.

Most providers say they support it, but the real issue is in the process:

- how returns are inspected?

- how fast refunds are issued?

- how COD is reconciled and reported?

From what I’ve seen, that’s actually what separates good 3PLs from bad ones - not the features, but the workflow behind them (this breakdown explains it pretty well: https://gobeeping.com/en/blog/how-to-compare-3pl-companies-in-mexico/ ).

Curious if anyone here found an ecommerce fulfillment service that handles returns + COD without constant issues?

gurll, stop embarrassing yourself! if getting male attention was a job

The inconsistency, after 2 years, was seriously getting on my nerves. Not the hooks, not the editing, not the posting schedule - all of which had reached an acceptable point after years of smashing your head against the wall - but too many videos were dead at 200-300 views without me having absolutely any clue why they had failed, and the few winners were just barely keeping the operation running with an abysmal win rate.

What I was too slow to realize, was my entire strategy was based upon what I thought was true, after hundreds of iterated videos, but I was optimizing on what I could see in a primitive analytic tool - and in general analytic tools are seriously lacking information. View watch time, view count, watch engagement...These were just metrics of what happened after the fact, for a dead video in analytic tools the metric of watch time was only the lost opportunity to understand the information you wanted, I started looking at the first 10 seconds specifically and after analyzing frame by frame retention graphs of dead versus successful videos you are able to really see exactly what killed the video. The algorithm really takes anywhere from 5-7 seconds to start truly estimating whether to promote a video, and unless you're above 70% retention in the first few seconds and over 25% watch time with a watch pattern that indicates a watch that had to be more than the hook then the video likely won't be going viral.

For all practical purposes this has taken the guesswork out of determining what is killing my videos. I can now see exactly where and why a user left (""He left at 6 seconds because the video went static for 1.8 seconds"" as opposed to ""He left at 40% watch time"") and it will literally revolutionize every video I ever create in my career.

The improved hit rate is starting to show in month-to-month analytics, not instantly like a magic spell, but with the information available to make better, more informed decisions the most time-consuming and expensive mistakes of my career are no longer going to be nearly as common and the compounding effect of this will be monumental on a daily posting basis.

If you've been doing content creation long enough that you have your editing down to a skill level beyond novice, but your views aren't matching your ability then you likely have an information problem; what your average content creator uses for data gets you the outcome of a video, not necessarily the data that produced it.

EDIT: The app I used was this if anyone was wondering

It has been 2 years and the lack of consistency was eating me up. Not the hooks, the editing, the posting. With the amount of time invested I had already mastered those things. The real problem was too many videos dying out before I could even pinpoint why. Every video died out around the 200-300 view range. There were a few winners in there that propped the entire channel up but the hit rate was not sustainable.

One thing I took me quite a while to look at was what my entire strategy was being based upon. I felt like the strategy I had developed was working because it was highly optimized through hundreds of videos. But, the only things I had been optimizing were already provided for in standard analytics. The disconnect with analytics lies in the fact that they measure what happens to a video once it has already lived or died. You only ever see what your video's statistics are once it has been able to either fly or die.

This inspired me to try only observing the first 10 seconds of a video. By studying what was happening to videos frame by frame between ones that died and ones that gained traction it became easily readable once I knew what to look for. It turned out that there was a short window of time between seconds 5-7 where the algorithm decided whether to push your video out or kill it immediately. Any video with greater than 70% retention through that window, greater than 25% re-watch rate, and any patterns in their statistics that suggested it was more than just someone scrolling through past a great hook, gained serious distribution.

The actual biggest change was no longer guessing why my videos failed and knowing exactly why they failed. I no longer wonder if a video died at 40% simply because it also died at 40% as another video that did succeed also did; I knew that one video died because its static image stayed up on the screen for too long. From that point on this has been integrated into every video I've made.

The hit rate improved enough to actually start registering on a monthly basis. It wasn't immediate but the data that went into each video and mistakes being made dropped by a factor noticeable month over month. At a clip of one per day this has become a hugely exponential benefit over a few months.

If you are a content creator that has been grinding it out for an extensive amount of time have mastered the editing, have great hooks, but feel like the metrics don't reflect the actual performance because it feels too random for how long you've been doing it you have an information gap. Analytics platforms that people seem to utilize merely identify what outcome has occurred. They don't illustrate why this has occurred.

EDIT: the tool I mentioned earlier was an app if that made a difference.

After 2 years I was getting seriously frustrated with my inconsistency. Not my hooks, not my editing or my posting schedule. Those were all solidified in my skillset after that much time of grinding. The problem was that most of the videos were failing in the 200-300 view mark before I could ever tell what was really killing them. The occasional winners pulled the rest of them through but the hit rate wasn't there.

What took me too long to notice and scrutinize was that the entire foundation of my content strategy was built upon. It felt secure because I refined it after hundreds of videos. The only catch was that my content strategy was optimized for what I can see in basic analytics and these metrics have an intrinsic fault to them. Average watch time, total views, engagement rate-all of it can tell you what happened after your video has already lived or died. By the time you can access these metrics for a failed video, the chance to understand why it was killed is already lost.

So instead, I started looking at what happens in the first 10 seconds. Frame-by-frame retention graphs for videos that broke out vs ones that died. The differences were readable once I knew what I was looking for. There's an initial 5 to 7 second window where the algorithm truly determines if your video has a chance. Above 70% retention through that window, rewatch rates above 25%, viewing patterns that demonstrate engagement beyond simply having the hook snagged for a second. Videos with this much sustained attention will almost always have real distribution potential behind them.

The only significant change that I made was stopping the guessing game behind why a video failed and instead seeing the precise moments that people leave a video. It was no longer seeing that people ""stopped watching at 40%"" but that they stopped watching at 6 seconds because the video had a static shot for 1.8 seconds. This change in perspective has influenced every single video that I create now.

The increase in my hit rate has now demonstrated an improvement that reflects directly in month to month performance. It isn't an overnight, instant difference, but it means I'm making informed choices going into a video and am no longer producing a lot of wasted, time-consuming, costly mistakes. When you're creating content daily, that type of improvement compound rapidly.

The information that you have access to is only going to tell you what happened after the damage is already done. If you've been doing this for a significant amount of time and feel that your results are more random than they should be for your skill level, you are suffering from an information deficit. Most creators only have access to information about the outcome of a video, not the moment that the outcome was dictated.

EDIT: for those wondering what I was using: this app

Two years into this, and the inconsistency was just eating away at me. It wasn't the hooks, editing, or upload schedule – those were decent by now. It was the sheer number of videos flat-lining between 200-300 views before I could figure out what was actually killing them. The few hits carried everything, but the hit rate was just not there.

What took me way too long to dig into was the foundation my whole content strategy was built on. It felt solid – I’d spent months tweaking and refining it over hundreds of videos. But I was optimizing for what was visible on basic analytics, and those metrics are inherently flawed. Average watch time, total views, engagement rate – they all just tell you what happened after your video lived or died. By the time you’re looking at those stats for a dying video, you’ve already missed your window.

So I started paying hyper-close attention to the first 10 seconds specifically. I’d map retention patterns on the few videos that broke through vs. Ones that failed, frame-by-frame. The differences were stark and readable once you knew what to look for. The algorithm essentially makes its first big judgment call at some point between seconds 5-7. Videos with 70%+ retention in that window, 25%+ rewatch rates, and attention patterns that show actual interest rather than just someone glancing at the hook before scrolling were almost always going to get good distribution.

The major practical implication is I’m no longer just guessing why videos are failing; I know the precise moments people are dropping off. Instead of ""they dropped off at 40%"", it's ""they dropped off at second 6 because the image froze for 1.8 seconds."" That level of specificity has changed the approach I take to every single video I make.

My hit rate has climbed to something that’s genuinely measurable month to month. It’s not happening overnight; it’s more that the decisions I’m making going into each video are infinitely better informed and the expensive, time-wasting mistakes just aren’t happening as much. On a daily posting schedule, that compounds incredibly quickly.

If you’ve been creating content for enough time to be good at editing, and you’re still getting a hit rate that feels much more random than your experience should indicate, the answer is almost certainly an information problem. The analytical tools most people rely on simply show you the result without showing you the specific moment that caused it.

EDIT: If anyone was wondering, the tool I used was this app.

Two years in and I was suffering from inconsistency, but not the hooks, editing, or upload schedule. Those I had mostly mastered at this point after two years of grinding. Instead, it was too many videos just dying on the 200-300 view plateau before I could even figure out what was failing. Occasional bangers were carrying my whole channel but the hit rate was not there.

What I had trouble seeing for the longest time was that the foundation of my entire content strategy was built on. While it seemed correct, I had iterated hundreds of times; however, I was optimizing based on the basic analytics available. Those numbers show the outcome of your video, after it already died or survived. You don't get the ability to know why someone left your video until after you've already lost the opportunity to learn about it.

I had to start looking at what specifically happened in the first 10 seconds of my video, by comparing frame-by-frame retention graphs. On videos that succeeded over those that failed, there's a specific period, typically between seconds 5 and 7 where the algorithm's decision comes in. If your watch time is above 70% through that period, you get re-watches at above 25% on your videos and a tendency of someone looking more in depth than just being captured by your hook for two seconds. Videos that hit those numbers almost always perform in real distribution.

My key change is that I stopped "guessing" why videos were failing and actually know the exact point that someone left. It wasn't that they left at 40% watch time, it was that they left at second 6 because my video froze for 1.8 seconds. This new information changed how I think about literally every single video.

My hit rate is starting to improve in a way I can see it month over month. It's not instant but I am more accurate about how I make decisions going into a video and there is noticeably less time wasted doing work on something that is probably going to fail. Over the long run it definitely starts to compound fast.

If you've been making videos for two years, know how to edit them, and still find that your results aren't where they should be with your experience, you are almost definitely an information problem. Most of the analytics tools use by creators, only provide the outcome rather than the moment at which the outcome occurs.

EDIT: the tool I was using to make this graph was this app if anyone was wondering