Your reasons for why they were incorrect about a binary search being useless in situations that don’t leave visual cues is that you can simply look for the visual cues lmao, that’s not valid at all
Your reasons for why they were incorrect about a binary search being useless in situations that don’t leave visual cues is that you can simply look for the visual cues lmao, that’s not valid at all
I never said they work 100% of the time. I said they work most of the time, which is a true statement.
An event happens in time, that event has a duration, if you can detect that duration then a binary search works perfectly fine.
And even after the duration most times events change the environment around them, which stay statically changed, and are detectable.
So much work to try to Kill the Messenger. Maybe organizations don’t want people to think they work so people won’t demand that they be used, causing more work for them.
I never said they work 100% of the time. I said they work most of the time, which is a true statement.
That’s also what the comment you claim to disagree with said, so why are you even arguing?
An event happens in time, that event has a duration, if you can detect that duration then a binary search works perfectly fine.
And even after the duration most times events change the environment around them, which stay statically changed, and are detectable.
Right. And when that happens, it’s covered by the second paragraph of the parent comment:
If there is a long-lasting visual cue that the event has or has not happened yet (e.g. a window is either broken or not), then a binary search is very useful.
Situations where binary searches aren’t useful are covered in the third paragraph of the comment:
If the event lasts only a moment and leaves no visual cue (e.g. an assault), then binary search is practically useless.
You’ve claimed that you disagree with this, but have yet to explain why you disagree beyond saying that there would be visual cues. Except that they’ve already said that binary searches work in situations that leave visual cues. You haven’t explained how a binary search can work in situations that leave no visual cues except by claiming they they would,except if they do, then the person you claim to disagree with has already said that binary searches are useful.
You’ve claimed that you disagree with this, but have yet to explain why you disagree beyond saying that there would be visual cues.
I have explained it, multiple times. I disagree that there would not be visual clues most of the time. I can’t prove a negative I don’t belleve in, to me its a false scenario that doesn’t (mostly) happen. In fact, the whole point of my very first comment was to rebut implicitly the ‘no visual clues’ clause.
Each comment is not atomic, on its own, its part of an overall conversation being had. To try and do so otherwise is just to play “gotcha” and is intellectually dishonest.
A binary search is just what it says, it’s just for searching only.
When you find that moment in time where the bike was there one moment, and then the next moment the bike’s not there, then you view at regular or even slow-mo at those few seconds of the bike in the middle of disappearing, and see the perpetrator, and hopefully can identify them.
How do you binary search for two people arriving, one punches the other, they both leave?
In the same way the OP talks about it …
You don’t watch the whole thing, he said. You use a binary search. You fast forward to halfway, see if the bike is there and, if it is, zoom to three quarters of the way through. But if it wasn’t there at the halfway mark, you rewind to a quarter of the way though. Its very quick. In fact, he had pointed out, if the CCTV footage stretched back to the dawn of humanity it would probably have taken an hour to find the moment of theft.
Instead of a bike, you look for the aftereffects of a fight happening (chairs knocked down, tables turned over, etc.). You can even look at how many people congregate around the location of the fight before and after the video as a ‘marker’ to the point of time the fight was happening/just finished.
Edit: One thing we didn’t even mention, AI can also be used these days to notice subtle changes in the video. If a video is a static image of an alley, then two people walk in the alley and fight, even though they leave no traces behind, that moment of the fight is caught on the video with activity/movement. Motion sensor movement, basically.
And you are seriously trying to kill the messenger.
OP specifically said that you’re fucked if there is no visual cue.
And I’m saying there’s ALWAYS a visual clue/cue, always. Either the bike is there one minute and gone another, or a fight breaks out and trashes the place from the fight. In the vast amount of cases, there’s always a visual difference.
And in this case we’re talking specifically about a bike, going missing.
Absolutely not true. Guy walks bye and shoots someone well offscreen. Momentary action with no visual cue before or after. Why are you arguing this useless point?
Absolutely not true. Guy walks bye and shoots someone well offscreen. Momentary action with no visual cue before or after. Why are you arguing this useless point?
The person dropping to the ground dead would be the visual cue.
Not if he’s off screen. It’s only a visual cue if it’s captured by the video.
If you have a separate video of the guy falling over dead, you can use that video to get a window of time to view in the other video, but one video that captures only parts of the scene can easily leave you with no visual cues.
Ok but the text that you replied to, that you quoted, was “If the event lasts only a moment and leaves no visual cue (e.g. an assault), then binary search is practically useless.” Emphasis mine. If you’d started out saying “there’s ALWAYS a visual cue,” then you likely wouldn’t be getting dragged, but you started out arguing from this position without clarifying it, which makes it seem like you didn’t know what you were talking about. You can’t say that you can simply look for visual cues when the other person specified that there were none.
Ok but the text that you replied to, that you quoted, was “If the event lasts only a moment and leaves no visual cue (e.g. an assault), then binary search is practically useless.” Emphasis mine. If you’d started out saying “there’s ALWAYS a visual cue,” then you likely wouldn’t be getting dragged, but you started out arguing from this position without clarifying it, which makes it seem like you didn’t know what you were talking about.
Last time I checked, I’m allow to disagree with a comment someone made, and argue the opposite. Just because they say ‘no visual cue’ does not mean that is no visual cue.
You can’t say that you can simply look for visual cues when the other person specified that there were none.
Why, because you say so? Yes, I can. Of course I can.
Its called “disagreeing” with what the other person is speaking of, and countering. Its a discussion.
Just because they say ‘no visual cue’ does not mean that is no visual cue.
It literally, explicitly does, because they are talking about a hypothetical situation where no visual cues are left. If no visual cues are left, then there are no visual cues to see.
Why, because you say so? Yes, I can. Of course I can.
Okay. I should have been extremely specific. You cannot rightly and correctly say that there are visual cues that could be found when the other person explicitly says that there are no visual cues to be found, because in the hypothetical situation that they’ve brought up, there would be no visual cues to find, and so while you are physically capable of stating the phrase “just look for the visual cues,” or some variation thereof, you are incorrect in the assumption that there would be visual cues to find.
When somebody says “you can’t say” followed by a statement that’s incorrect, they aren’t trying to tell you that you are physically incapable of saying that statement; rather, there is an implicit “correctly” or “honestly” between the “can’t” and “say.”
Your adding things that would allow a binary search work, but the question was in a situation where the only evidence is the conflict itself
I’m describing the vast majority of fights that happen in the public. Also, you’re trying to move the goalposts by focusing on a fight, when the discussion is about the theft of a bike.
Edit: One thing we didn’t even mention, AI can also be used these days to notice subtle changes in the video. If a video is a static image of an alley, then two people walk in the alley and fight, even though they leave no traces behind, that moment of the fight is caught on the video with activity/movement. Motion sensor movement, basically.
What does that have to do with a binary search If a camera has AI on it then two things. A you have a system that already would be capturing movement or motion so you already have flags that you can check which would make a binary search mostly unnecessary. and B it’s not binary search. Which is this whole discussion.
Cool you’re adding information to the question to make yourself “right” but even your comment says that’s only the vast majority of fights and also you had to clarify in public so there are edge cases where the situation still stands that binary search wouldn’t work or wouldn’t be feasible.
A solution doesn’t have to work for 100% of things for it to still be a good solution.
What does that have to do with a binary search If a camera has AI on
You can have a AI do the actual binary search as described by the OP in his comment pic. Doesn’t have to be a human being that does it, but the process would be done the same way by either.
My mentioning motion detection is just that an AI would be able to detect the moment of change in the video, the focus point more readily than a human being, is all.
Cool you’re adding information to the question to make yourself “right”
No, I’m not. Within the moment I’m creating a comment I might save and then edit, because in the past I lost whole comments when I switch tabs in my browser. But when I’m done and hit that save I’m done, and then a few cases when I’m not I add an “Edit:” to it.
but even your comment says that’s only the vast majority of fights and also you had to clarify in public
Well most fights are in public, if a public camera is recording it. If a fight is private then it’s probably not being done where a camera is.
so there are edge cases where the situation still stands that binary search wouldn’t work or wouldn’t be feasible.
The only edge case I could think of would be if something happens in a split second and then the scene is static again, the same before and after that.
But even then if you’re talking about a static scene on the camera AI would probably be able to catch that split second change happening, so binary searching can still be done.
I have a feeling you just don’t understand how a binary search functions even with AI you wouldn’t be using a binary search at that point
If you have camera footage from 4pm to 8pm with event lasting 1 minute but no changes occur to the background/foreground how exactly are you using recursion to determine which part of the footage even occurred without going through the entire film. Are you picking at random?
The way you’re describing AI is not binary search and so it can’t be used in this example. Also most public cameras are not 8K cameras they don’t contain a lot of detail, so the argument that they could catch something subtle kinda gets blown out of the water. You can’t just use AI as a cop out for not understanding how function behaves or works
I’m describing the vast majority of fights that happen in the public.
But the comment you replied to already addressed those fights, and bike thefts, and the vast majority of cases that you’re talking about, by saying
If there is a long-lasting visual cue that the event has or has not happened yet (e.g. a window is either broken or not), then a binary search is very useful.
No one is moving goalposts. The parent comment said that binary search is useful in situations like bike thefts where visual cues are present, and not useful in situations where visual cues are not present.
In your hypothetical situation involving AI, the AI would use visual cues that are present, and so the situation is covered by the parent comment’s second paragraph. In a situation where there are no visual cues for the AI to use, it would be covered by the third paragraph. They still aren’t wrong about anything.
The parent comment said that binary search is useful in situations like bike thefts where visual cues are present, and not useful in situations where visual cues are not present.
Just repeating myself at this point, but I was responding to this (the bolded part) …
Part of my job is to review security footage for reported incidents.
If there is a long-lasting visual cue that the event has or has not happened yet (e.g. a window is either broken or not), then a binary search is very useful.
If the event lasts only a moment and leaves no visual cue (e.g. an assault), then binary search is practically useless.
I disagree with the “leaves no visual cue” part, as I’ve commented on. There’s ALWAYS something caught on the video to help determine things. Maybe not enough, but never nothing.
I disagree with the “leaves no visual cue” part, as I’ve commented on. There’s ALWAYS something caught on the video to help determine things. Maybe not enough, but never nothing.
Then you should be responding to the “leaves no visual cues” part, not the “binary search is useless” part. If there WERE a situation that left no visual cues, THEN binary search WOULD be useless. It does not matter whether there ARE such situations.
Suppose the objective is to review highway cam footage of the day to verify that a (non-speeding) car with a particular license plate drove past the area / used this route. The route is used 24/7 by many identical cars throughout the day and night, and that our target car is one such identical car, with the only difference being the license plate. We know on average cars that drive past this camera only appear for 3 seconds on the footage. How can binary search be used to find the car within 24 hours of footage, if the target car only appears for 3 seconds within the 24 hour video?
You didn’t get what was talked about here. Re-read the topmost parent comment.
I was responding to this …
Part of my job is to review security footage for reported incidents.
If there is a long-lasting visual cue that the event has or has not happened yet (e.g. a window is either broken or not), then a binary search is very useful.
If the event lasts only a moment and leaves no visual cue (e.g. an assault), then binary search is practically useless.
I disagree with the “leaves no visual cue” part, as I’ve commented on. There’s ALWAYS something caught on the video to help determine things. Maybe not enough, but never nothing.
Maybe I’m not understanding both arguments here but I’d like to understand. I’ve had to review footage of a vending machine being shaken to release drinks.
You have no before or after visual clue as to when the event took place. The only indication is when you physically see it happening. The same could be said for an assault. If nothing is changed in the before or after static still how can you pinpoint the incident?
You have no before or after visual clue as to when the event took place.
That wouldn’t necessarily be true. If you shook it hard enough to move the contents inside the vending machine and the vending machine had a glass front then you would have a static change that would last from the time the event happened until a human being came to work on the machine. That change would be detectable.
Or from the shaking the vending machine is moved an inch forward and an inch to the left. That change would be detectable.
Everyone arguing against me is trying to focus the point that the event is such a short duration that it’s not detectable afterwards, and what I’ve been arguing the whole time and that people keep ignoring is that most of the time after an event happens that the environment around the event changes, and it’s detectable afterwards.
You’re being intellectually dishonest, in an attempt to kill the message.
This is what was said in the origional OP pic…
You don’t watch the whole thing, he said. You use a binary search. You fast forward to halfway, see if the bike is there and, if it is, zoom to three quarters of the way through. But if it wasn’t there at the halfway mark, you rewind to a quarter of the way though. Its very quick. In fact, he had pointed out, if the CCTV footage stretched back to the dawn of humanity it would probably have taken an hour to find the moment of theft.
Yes, but, as you noted in an earlier post, that isn’t what you’re responding to. The point of the post you stated you are responding to is: if an event occurs that leaves no change to the visual context before and after the occurrence, then binary search is ineffective.
The fact that you’re wasting this much time trying to defend such a simple error is confusing. The reasonable response is, “oh, yes, in that particular case, binary search is ineffective.”
Yes, but, as you noted in an earlier post, that isn’t what you’re responding to.
I keep saying what I’m responding to, but you’re trying to change the narrative of what I’m responding, to as a debate tactic.
Someone uses a debate tactic of mentioning an “one off” and then directing their whole conversation to that one singular point is not intellectually honest in the whole conversation being had.
The fact that you’re wasting this much time trying to defend such a simple error is confusing. The reasonable response is, “oh, yes, in that particular case, binary search is ineffective.”
And you don’t think I can’t tell when a bot network is using what I’ve said back to me for training their AI, and then repeating it right back at me?
Binary search only works on sorted data, i.e. you know which side of the mid point is pointing towards the incident. If the incident leaves no trail, you can’t know whether you can discard the left side or the right side, making it a complicated linear search at that moment.
If the incident leaves no trail, you can’t know whether you can discard the left side or the right side
There’s a moment where the bike is there, then another when its not. The whole video, either way, will either from the beginning up to the point of theft have the bike there, or NOT have the bike there from the point of theft to the end of the video. The marker is the removal of the bike from the video lens.
But the comment you replied to wasn’t talking about bike thefts specifically, it was talking about unspecified situations that don’t leave traces. You responded to someone saying that binary search doesn’t work in situations that don’t leave cues not by arguing against the premise (e.g. “but no such event exists, everything leaves cues”), but by telling them that you simply have to look for the cues from the hypothetical event that didn’t leave any.
But it didn’t, because if it did then it would fall under the second paragraph of their comment, where they said that binary search would be useful. The comment isn’t just talking about bike thefts.
The OP is, but the comment you replied to isn’t. They expanded on the original post, and said that while binary search is useful in that situation (along with many others), it would be useless in other situations.
Not with a binary search.
Edit: just collapse this thread and move on. Cosmic Cleric is an obvious troll.
Well now I HAD to read the thread
What an absolute weirdo.
Screw you, and your gatekeeping censoring.
I replied, saying the comment is not correct, and I gave reasons why, which are valid reasons.
Your reasons for why they were incorrect about a binary search being useless in situations that don’t leave visual cues is that you can simply look for the visual cues lmao, that’s not valid at all
I never said they work 100% of the time. I said they work most of the time, which is a true statement.
An event happens in time, that event has a duration, if you can detect that duration then a binary search works perfectly fine.
And even after the duration most times events change the environment around them, which stay statically changed, and are detectable.
So much work to try to Kill the Messenger. Maybe organizations don’t want people to think they work so people won’t demand that they be used, causing more work for them.
That’s also what the comment you claim to disagree with said, so why are you even arguing?
Right. And when that happens, it’s covered by the second paragraph of the parent comment:
Situations where binary searches aren’t useful are covered in the third paragraph of the comment:
You’ve claimed that you disagree with this, but have yet to explain why you disagree beyond saying that there would be visual cues. Except that they’ve already said that binary searches work in situations that leave visual cues. You haven’t explained how a binary search can work in situations that leave no visual cues except by claiming they they would, except if they do, then the person you claim to disagree with has already said that binary searches are useful.
I have explained it, multiple times. I disagree that there would not be visual clues most of the time. I can’t prove a negative I don’t belleve in, to me its a false scenario that doesn’t (mostly) happen. In fact, the whole point of my very first comment was to rebut implicitly the ‘no visual clues’ clause.
Each comment is not atomic, on its own, its part of an overall conversation being had. To try and do so otherwise is just to play “gotcha” and is intellectually dishonest.
They never said “most of the time.” They only brought up two categories of events: those that leave lasting visual cues, and those that don’t.
I would just be repeating myself at this point, to respond. Lets just leave it at agree to disagree.
Yes you will.
A binary search is just what it says, it’s just for searching only.
When you find that moment in time where the bike was there one moment, and then the next moment the bike’s not there, then you view at regular or even slow-mo at those few seconds of the bike in the middle of disappearing, and see the perpetrator, and hopefully can identify them.
You didn’t get what was talked about here. Re-read the topmost parent comment.
How do you binary search for two people arriving, one punches the other, they both leave?
In the same way the OP talks about it …
Instead of a bike, you look for the aftereffects of a fight happening (chairs knocked down, tables turned over, etc.). You can even look at how many people congregate around the location of the fight before and after the video as a ‘marker’ to the point of time the fight was happening/just finished.
Edit: One thing we didn’t even mention, AI can also be used these days to notice subtle changes in the video. If a video is a static image of an alley, then two people walk in the alley and fight, even though they leave no traces behind, that moment of the fight is caught on the video with activity/movement. Motion sensor movement, basically.
You are seriously confused. OP specifically said that you’re fucked if there is no visual cue.
And you are seriously trying to kill the messenger.
And I’m saying there’s ALWAYS a visual clue/cue, always. Either the bike is there one minute and gone another, or a fight breaks out and trashes the place from the fight. In the vast amount of cases, there’s always a visual difference.
And in this case we’re talking specifically about a bike, going missing.
Absolutely not true. Guy walks bye and shoots someone well offscreen. Momentary action with no visual cue before or after. Why are you arguing this useless point?
The person dropping to the ground dead would be the visual cue.
…well offscreen… wow
Not if he’s off screen. It’s only a visual cue if it’s captured by the video.
If you have a separate video of the guy falling over dead, you can use that video to get a window of time to view in the other video, but one video that captures only parts of the scene can easily leave you with no visual cues.
Ok but the text that you replied to, that you quoted, was “If the event lasts only a moment and leaves no visual cue (e.g. an assault), then binary search is practically useless.” Emphasis mine. If you’d started out saying “there’s ALWAYS a visual cue,” then you likely wouldn’t be getting dragged, but you started out arguing from this position without clarifying it, which makes it seem like you didn’t know what you were talking about. You can’t say that you can simply look for visual cues when the other person specified that there were none.
Last time I checked, I’m allow to disagree with a comment someone made, and argue the opposite. Just because they say ‘no visual cue’ does not mean that is no visual cue.
Why, because you say so? Yes, I can. Of course I can.
Its called “disagreeing” with what the other person is speaking of, and countering. Its a discussion.
It literally, explicitly does, because they are talking about a hypothetical situation where no visual cues are left. If no visual cues are left, then there are no visual cues to see.
Okay. I should have been extremely specific. You cannot rightly and correctly say that there are visual cues that could be found when the other person explicitly says that there are no visual cues to be found, because in the hypothetical situation that they’ve brought up, there would be no visual cues to find, and so while you are physically capable of stating the phrase “just look for the visual cues,” or some variation thereof, you are incorrect in the assumption that there would be visual cues to find.
When somebody says “you can’t say” followed by a statement that’s incorrect, they aren’t trying to tell you that you are physically incapable of saying that statement; rather, there is an implicit “correctly” or “honestly” between the “can’t” and “say.”
Your adding things that would allow a binary search work, but the question was in a situation where the only evidence is the conflict itself
2 guys enter one guy punches the other guy they both leave. Nothing is moved no blood was created,
you could not use a binary search effectively to duduce when it occurred.
I’m describing the vast majority of fights that happen in the public. Also, you’re trying to move the goalposts by focusing on a fight, when the discussion is about the theft of a bike.
Edit: One thing we didn’t even mention, AI can also be used these days to notice subtle changes in the video. If a video is a static image of an alley, then two people walk in the alley and fight, even though they leave no traces behind, that moment of the fight is caught on the video with activity/movement. Motion sensor movement, basically.
What does that have to do with a binary search If a camera has AI on it then two things. A you have a system that already would be capturing movement or motion so you already have flags that you can check which would make a binary search mostly unnecessary. and B it’s not binary search. Which is this whole discussion.
Cool you’re adding information to the question to make yourself “right” but even your comment says that’s only the vast majority of fights and also you had to clarify in public so there are edge cases where the situation still stands that binary search wouldn’t work or wouldn’t be feasible.
A solution doesn’t have to work for 100% of things for it to still be a good solution.
You can have a AI do the actual binary search as described by the OP in his comment pic. Doesn’t have to be a human being that does it, but the process would be done the same way by either.
My mentioning motion detection is just that an AI would be able to detect the moment of change in the video, the focus point more readily than a human being, is all.
No, I’m not. Within the moment I’m creating a comment I might save and then edit, because in the past I lost whole comments when I switch tabs in my browser. But when I’m done and hit that save I’m done, and then a few cases when I’m not I add an “Edit:” to it.
Well most fights are in public, if a public camera is recording it. If a fight is private then it’s probably not being done where a camera is.
The only edge case I could think of would be if something happens in a split second and then the scene is static again, the same before and after that.
But even then if you’re talking about a static scene on the camera AI would probably be able to catch that split second change happening, so binary searching can still be done.
I have a feeling you just don’t understand how a binary search functions even with AI you wouldn’t be using a binary search at that point
If you have camera footage from 4pm to 8pm with event lasting 1 minute but no changes occur to the background/foreground how exactly are you using recursion to determine which part of the footage even occurred without going through the entire film. Are you picking at random?
The way you’re describing AI is not binary search and so it can’t be used in this example. Also most public cameras are not 8K cameras they don’t contain a lot of detail, so the argument that they could catch something subtle kinda gets blown out of the water. You can’t just use AI as a cop out for not understanding how function behaves or works
Pretty good trolling, not gonna lie.
But the comment you replied to already addressed those fights, and bike thefts, and the vast majority of cases that you’re talking about, by saying
No one is moving goalposts. The parent comment said that binary search is useful in situations like bike thefts where visual cues are present, and not useful in situations where visual cues are not present.
In your hypothetical situation involving AI, the AI would use visual cues that are present, and so the situation is covered by the parent comment’s second paragraph. In a situation where there are no visual cues for the AI to use, it would be covered by the third paragraph. They still aren’t wrong about anything.
Just repeating myself at this point, but I was responding to this (the bolded part) …
Then you should be responding to the “leaves no visual cues” part, not the “binary search is useless” part. If there WERE a situation that left no visual cues, THEN binary search WOULD be useless. It does not matter whether there ARE such situations.
What about this hypothetical scenario:
Suppose the objective is to review highway cam footage of the day to verify that a (non-speeding) car with a particular license plate drove past the area / used this route. The route is used 24/7 by many identical cars throughout the day and night, and that our target car is one such identical car, with the only difference being the license plate. We know on average cars that drive past this camera only appear for 3 seconds on the footage. How can binary search be used to find the car within 24 hours of footage, if the target car only appears for 3 seconds within the 24 hour video?
I was responding to this …
I disagree with the “leaves no visual cue” part, as I’ve commented on. There’s ALWAYS something caught on the video to help determine things. Maybe not enough, but never nothing.
Maybe I’m not understanding both arguments here but I’d like to understand. I’ve had to review footage of a vending machine being shaken to release drinks.
You have no before or after visual clue as to when the event took place. The only indication is when you physically see it happening. The same could be said for an assault. If nothing is changed in the before or after static still how can you pinpoint the incident?
That wouldn’t necessarily be true. If you shook it hard enough to move the contents inside the vending machine and the vending machine had a glass front then you would have a static change that would last from the time the event happened until a human being came to work on the machine. That change would be detectable.
Or from the shaking the vending machine is moved an inch forward and an inch to the left. That change would be detectable.
Everyone arguing against me is trying to focus the point that the event is such a short duration that it’s not detectable afterwards, and what I’ve been arguing the whole time and that people keep ignoring is that most of the time after an event happens that the environment around the event changes, and it’s detectable afterwards.
You either don’t know what binary search is or you completely missed the context of this conversation
I’m a computer programmer. I know exactly what a binary search is. I’ve written binary searches before.
The search is to get you to the point where you can watch the video to see the crime happening, in hopes of indentifying the perpretrator.
Then you missed the point of this conversation
You’re being intellectually dishonest, in an attempt to kill the message.
This is what was said in the origional OP pic…
Yes, but, as you noted in an earlier post, that isn’t what you’re responding to. The point of the post you stated you are responding to is: if an event occurs that leaves no change to the visual context before and after the occurrence, then binary search is ineffective.
The fact that you’re wasting this much time trying to defend such a simple error is confusing. The reasonable response is, “oh, yes, in that particular case, binary search is ineffective.”
I keep saying what I’m responding to, but you’re trying to change the narrative of what I’m responding, to as a debate tactic.
Someone uses a debate tactic of mentioning an “one off” and then directing their whole conversation to that one singular point is not intellectually honest in the whole conversation being had.
And you don’t think I can’t tell when a bot network is using what I’ve said back to me for training their AI, and then repeating it right back at me?
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Binary search only works on sorted data, i.e. you know which side of the mid point is pointing towards the incident. If the incident leaves no trail, you can’t know whether you can discard the left side or the right side, making it a complicated linear search at that moment.
There’s a moment where the bike is there, then another when its not. The whole video, either way, will either from the beginning up to the point of theft have the bike there, or NOT have the bike there from the point of theft to the end of the video. The marker is the removal of the bike from the video lens.
But the comment you replied to wasn’t talking about bike thefts specifically, it was talking about unspecified situations that don’t leave traces. You responded to someone saying that binary search doesn’t work in situations that don’t leave cues not by arguing against the premise (e.g. “but no such event exists, everything leaves cues”), but by telling them that you simply have to look for the cues from the hypothetical event that didn’t leave any.
And my point is that the DID leave a clue that a binary search would pick up on, the disappearance of the bike.
But it didn’t, because if it did then it would fall under the second paragraph of their comment, where they said that binary search would be useful. The comment isn’t just talking about bike thefts.
The OP is, as well as binary searches. Both are being discussed.
The OP is, but the comment you replied to isn’t. They expanded on the original post, and said that while binary search is useful in that situation (along with many others), it would be useless in other situations.
That doesn’t apply to the comment you replied to.
Yes, it does…
How?
Yes.
Yes to what?
Exactly.
Better luck next time!