Asteroid ZTm0038 with a >3% impact probability
newton.spacedys.com
newton.spacedys.com
- What is the probability that this asteroid will hit us?
- What is the time interval where that probability applies?
- Do we have a probability distribution for where it might hit? I don't know anything about anything, but I assume we know what *general direction* it's coming from?
- Do we have a probability distribution for the potential blast radius?
In general, I am very confused by this news because "400m diameter asteroid 3% chance of impact" is something I would expect literally everybody to be talking about all the time. It's also something where if I learned that everything north of Kansas has a 5% chance of getting hit but everything south of Houston has a 1% chance, I'd seriously consider taking an impromptu vacation.A 3% chance of impact right after discovery with the initial error ellipse isn't all that unusual; it will almost certainly be revised to 0 with more observation (and if it's not, you'll hear about it).
If these large numbers happen so often that asteroids with initial impact probabilities of 3% are known to actually impact much less frequently than that, then the model is poorly calibrated, no? In other words, the reported probabilities aren't really probabilities and that is what has caused the confusion and anxiety in these comments.
"The measurement data has noise" does not explain why the noise has a bias towards "the asteroid will hit earth" whereas reality so far has been biased towards "the asteroid will not hit earth".
(This assumes that significantly more than 33 asteroids have had >= 3% impact probability predicted at some point. The opposite would not be less concerning.)
So the best guess you have is that the true asteroid is 99% likely to be somewhere within a 2km box centered at the observation point.
For each possible location in this box you use it as a hypothetical starting point and run a simulation forward creating a trajectory. In 3% of these trajectories the asteroid hits the earth.
The 3% is only a probability over the measurement uncertainty. It represents our knowledge about the system in a bayesian sense. The true asteroid was always ever going to hit the earth or not. There is no uncertainty inherent in the system.
That many asteroids have non negligible probability only means the physics is sensitive to initial conditions or that the measurements are loose. (Both are true)
What your analysis is not touching on is the prior probability that an asteroid will hit earth (you collapse this to "any asteroid will either hit or not", but that is not helpful for "model calibration" or whatever you want to call this) - or, equivalently, the prior probability of making (a series of) observations with a certain uncertainty/error distribution. If that prior were actually as uniform as each measurement error suggests, I don't see any Bayesian wiggle room left for why we don't have those 3% of impact actually happen.
(I'm no expert, but presumably you need multiple measurements to predict a trajectory, and while their measurement error distributions may be independent, it seems plausible to me that the prior probability of making two specific noise-affected observations, i.e. of the asteroid being on a certain trajectory, is most likely not so uniform. That's the part that I'd like to learn more about though.)
-Then what does 3% mean? Surely it means "given the data we have, one in every 33 will hit" -Given everything you said is true, under those assumptions 3% of those asteroids that we identify as being in said 2km box will hit earth.
Both of these statements are false. The probability density is over our knowledge of the state variables/state space for this asteroid, not over asteroids. The hypothetical sample of asteroids is not drawn from the distribution I'm talking about.
Going back to the simplified example: With the uniform prior on the box, our probability means that 3% of the volume of this box would lead to an impact if an asteroid was centered at a point in that volume at this time of measurement.
It doesn't say anything about hypothetical realizations of this asteroid (it is not clear what this would be sampled from or what it means in a precise sense to repeat a 1 time event) and says even less about the sample of (nearly) independent asteroids observed in the past. The probability measure only describes the measurement uncertainty on properties of this particular asteroid. It is not conditioned on or related to statistics on impacts of "general asteroids".
But "presumably you need multiple measurements to predict a trajectory" and your notes about independence and uniformness being bad assumptions are absolutely correct tho. I agree 100%
My comment above is mostly an attempt to make a simple example to clarify what the probability measure being measured here is. It's not a physically realistic example :) and definitely doesn't make good assumptions about what information is needed and what error distributions that information would have! I don't do space and didn't want to make guesses
Calibration here would have to be over multiple measurements of the same asteroid (which my example doesn't touch on). Likely by predicting trajectories at different intervals and matching the likelihood of later observations.
Verifying multiple observations leading up to a 1 time event is a very different than, say, verification of simulations of an internal combustion engine design where measurements of a real world prototype can be conducted repeatedly and independently to learn/calibrate some fundamental properties or initial conditions like chemical kinetic coefficients and such.
For general interest/lectures/fun, the general field that studies how to push uncertainties forwards/backwards/calibrate a mathematical model and simulation is called "Uncertainty Quantification". Also not an expert lol, I was just surrounded by a bunch in my cohort
There would be a ~63.4% chance that at least one would hit us if there were 33 such asteroids. To compute this, take 1-(0.97^33). I agree with your broader point though.
It's just that anything traveling through the earth/moon gravitational sphere of influence will have it's trajectory tweaked just a bit. How close to the center of gravity the pass is determines exactly how much of a tweak. There is a small section of space, we'll call it the keyhole, where if the asteroid happens to pass exactly through that area the tweak will result in a collision next time the asteroid comes around. That could be decades hence.
There could even be a case where an unlucky keyhole pass this time lines up another unlucky keyhole pass the next time to an eventual collision in the distance future.
The technology to nudge the asteroid just far enough to miss a critical keyhole pass is within the realm of possibility with today's knowhow. We just need to have these missions ready to go on short (order of a few months to a year) notice.
Most likely: this will never come up.
Less likely: if it does we're fucked.
Even less likely: if it does and surprisingly we see it in time we will act for the good of all and not bicker about who pays and we'll make things better rather than worse. If not, see above.
Now think of what that kind of force would do on a much lighter object that moves faster.
You wait 5 sec and it's still only imperceptibly closer. You realize there is no way it could possibly hit you. You cross the street unconcerned.
Consider a 6-sided dice roll. What is the chance it will roll a 1?
A person might think, "1 in 6". But what if this is a loaded die? In that case, we need more information before we can classify it as "a die like other dice". We can observe two rolls, and try to ascertain whether or not it is like other fair 6-sided dice; however, two rolls is not enough to be sure.
So as we're gathering data, we start to classify this instance of a thing (a die, an asteroid) as part of a series of things we already know about. The more rolls we observe, the more sure we can be that this is a fair die or a loaded die, for instance.
If I'm understanding how asteroids' trajectories are calculated, we can simulate THIS asteroid's trajectory (3% chance of hitting you, based on a little data), or we can just decide to classify it (perhaps prematurely?) in the series "an asteroid like every other asteroid that we've observed" and arrive at a 0.000001% chance of hitting you (I'm making up a number here).
You have one confidence margin for a single single measurement and a different confidence margin if you make 1 million measurements.
Let's say you can measure marble diameters and your tool has a calibrated standard deviation of 1 mm.
If you pull one marble and measure it to be 10 mm larger than expected, you can calculate the chance you are wrong using only the standard deviation of your measurement tool.
However, if you pull 1 million marbles and measure one to be 10 mm larger than expected, you need to take into account the number of marbles you have measured.
A 3% chance that never occurs is an inaccurate prediction.
It's wrong because the measurements are suggestive of possibility, rather than certain of it.
If we observe an asteroid that with two poor measurements is determined to be headed away from Earth, that's the end. Look no further.
If we observe an asteroid with two poor measurements that has some significant chance of hitting, more and better measurements are made. Then very often those better measurements show it was never actually going to hit anyhow.
But we never would have known without the better measurements, and we never would have devoted more time to making better measurements without a reason to do so.
A 3% chance that never occurs is because that 3% is based on data that's at the limit of what the telescopes can provide, not based upon bad math.
Hence it seems that it would lead to more accurate predictions if the measurements and their uncertainties were fitted to a model that corrects for the prior probability of observing an asteroid on a given trajectory/making a certain observation.
This discrepancy between distribution of measurement error vs distribution of actual trajectories is what people are wondering about, because it seems interesting to know more about (e.g. "why are certain trajectories less likely?").
It's is similar to P hacking.
If you just want to argue with people, feel free. But based on how this conversation has been going it doesn't seem like you want to learn.
I understand that calculating trajectories is difficult.
If someone claims something like a 3% impact probability, and they are wrong 99.999% of the time, that speaks to a methodological error in how the numbers are conveyed and or defined.
I work in medical devices and testing. I perform tests like X percentage of patients will die based on the statistical calculations. You may undergo treatment with a medical device that I have worked on.
Wait a week and get another sample and your arc is now approx 5x as long. Wait a month and get another and now your arc is 30x as long as the original. More observations shrink your error bars.
There are systemic errors here for sure. Two kinds, really:
1. Limits of resolution of telescopes 2. Short sample lengths
You absolutely can't do anything about error type 1. You can fix 2 by getting more data. But there's no point in getting data on asteroids that have absolutely no possibility of hitting. So only asteroids that have some probability with limited measurements get enough better measurements that are high quality in order to find out where they're really headed.
All of these measurements of trajectories are completely uncorrelated, so you can't use the priors to adjust probabilities. I mean you can do whatever you want, but we haven't been hit by a big asteroid yet since we've had telescopes and tracking databases.
If we made adjustments based on priors we'd have to discount all collisions down to 0 irrespective of the trajectories. Seems absurd, so there must be something else going on here.
Illustrate the point, imagine a pass/fail AIDs test with 99% accuracy and 1% false positive. If you test one patient only and they are positive, You can conclude that is 99% likely to be correct. However, if you test a hundred different people and one of them comes up positive, you can no longer claim the 99% certainty for that patient. You know that you administered a hundred different tests to different people and would have to reduce your confidence accordingly because you expect one false positive. This second statistical approach is what is not happening with the asteroids, and why asteroids with a 3% chance of hitting Earth suspiciously get revised down to zero more than 97% of the time.
>If we made adjustments based on priors we'd have to discount all collisions down to 0 irrespective of the trajectories. Seems absurd, so there must be something else going on here
Not quite true. If you measure a million asteroids in the data from one says it has a trajectory towards Earth, you need to Discount that observation by the fact that you made 1 million different measurements. The outlier might still be close to zero statistically, but it did have a outlier data. This would be a reason to remeasure the asteroid multiple times. It is only through that process that the number will climb from zero, or stay at zero.
It's not that you're applying the prior that we have never observed Earth colliding asteroid. You're simply accounting for the fact that with the error bars on your measurement system, you expect one false positive in 1 million measurements.
My inference is that the 3% number we are talking about for this specific asteroid what's not calculated using the proper statistical treatment, and that's why it wasn't published in the first place.
This is also why it is similar to P hacking. If you run 20 experiments and analyze them as if they were the only experiment you did, you will get one of them that says a wrong result with 95% confidence, which is the common threshold for publishing outside of physics.
When it gets a little closer, you can tell at least which half it's on, the left or the right. Now your estimate is either 0% or 50%.
Closer still and you tell which lane it's in, so now you're sure.
What wouldn't make sense is if you repeat this 1000 times and a car is never in your lane.
That means that something is wrong about how you are modeling the road and cars.
The claim that people are confused by is (asteroids with a 3% chance of hitting get the change revised to 0% more than 97% of the time).
That's exactly it. And at the speeds these objects are going and the uncertainty of the observations you would have to be observing an object for a really long time to get the kind of accuracy required to pick a mitigation method that would work. And even then, assuming you could nail the point of impact of something going 2000 km / second of unknown mass in a strong gravity field: given the COVID response I have a hard time believing that the response to 'Houston, Texas is going to be obliterated on Jun 1st 2024' would be met with anything but skepticism and laughter. Right up to the moment of impact.
[0] https://arxiv.org/abs/0707.1919
[edit] FWIW, I actually corresponded with one of the authors of this paper back in 2007, and from what I could tell, this wasn't an attempt at parody, although now it might be dismissed as one. Personally I'm not willing to declare my (non)commitment to the theory either way.
In many situations, erring on one side results in worse outcomes than erring on the other side. In our case, a false positive has pretty much zero consequences, while a false negative could wipe out the dinosaurs.
By "This makes sense", I meant that this kind of thing can happen; as more data are gathered, the Bayesian probability of a candidate value can increase and then suddenly decrease. Here's a Colab notebook demonstrating the general phenomenon: https://colab.research.google.com/drive/1Eb1_humiGPdKb0c3qr_...
"Calibration" in this context means "statistical consistency between distributional forecasts and observations" in the words of https://sites.stat.washington.edu/raftery/Research/PDF/Gneit... . If the model's early forecasts predict impact with probability >3% for a class of objects that end up impacting with frequency much less than 3%, then the model is not well calibrated with respect to its early forecasts for those objects.
Based on the GP, it sounds like these early impact "probabilities" are no one's subjective (Bayesian) probability of impact because people who are closely familiar with this model know it is not well calibrated. The reported probabilities may still be useful to them as indicators or flags. However, those of us who are _not_ closely familiar with the model have found it confusing to see things that are not really probabilities reported as probabilities.
It makes no fucking sense.
There is 3% chance it'll be revised to 100% chance and 97% chance it'll be revised to 0% chance.
Are you Yogi Berra?
It'll be reported like possible hurricanes hitting landfall.
If this has happed ~33 times then one will hit us.
If it's 400m it will kill 200,000 people assuming Vox is reporting correctly - https://www.vox.com/future-perfect/2019/7/26/8931776/near-ea...
That will be 9 in 10 it hit's boring ocean and looks cool on satellites and one in 10 kills 2 million people and there will be some cool live streams.
Or the 3% in the title is a lie.
There would be a ~63.4% chance that at least one would hit us if this happened 33 times. To compute this, take 1-(0.97^33). But I agree with your broader intuition that these predictions must be getting inflated.
Anything that size aimed straight down would most likely not reach the ground but burn up in the atmosphere and any remaining bits would just fall at regular terminal velocity.
But from 10 meters and up things change and the Chelyabinsk meteor is remarkable in that it (1) was large enough to have been detected but wasn't and (2) struck while we were apparently focused on one that was more visible but that ultimately missed us. We were very lucky that it impacted where and at the angle that it did, otherwise the airburst might have happened far closer to the ground or to might have impacted directly over much more populated territory. That would have been very bad news.
It doesn't matter how many 1 through 5 meter objects we can track because we have the atmosphere to protected us from the worst of these if we miss the 20 meter ones (or apparently even much larger) that travel at speeds high enough to give their relatively modest mass tremendous energy and for which the atmosphere does not give sufficient (or even any) protection.
"If it is real this IS the worst asteroid threat ever discovered and the impact location and times are ugly (will post pics shortly). Note that the impact is in the next couple days! However, an Italian colleague of one of our astronomers suspects there is an error in the reported observations and there has been no chatter about this object and no followup. This probably means that it is not real. " - Joel C. Sercel, PhD
I'm guessing the impact death area will be around 3600 km2 (I have no idea, please correct), so ultimately the chance of it falling on me is 1 in 10,000 to 1 in 100,000 provided the asteroid hits. Which means 1 in 1,000,000 to 1 in 10,000,000 in total? (assuming 1% hit probability)
> I would like to make an apology to the small body community. Some information was shared with me on an internal company message board that I did not have full perspective on and I posted a tweet, which I now understand was not appropriate. It was preliminary data and I did not have full perspective on it.
“Preliminary data” is not very reassuring.
I’m hoping this ztm0038 is an error or hoax.
>> I would like to make an apology to the small body community. Some information was shared with me on an internal company message board that I did not have full perspective on and I posted a tweet, which I now understand was not appropriate. It was preliminary data and I did not have full perspective on it.
Does that sound like everything's gonna be okay?
Land impact would be catastrophic (1x-100x 50 megaton explosion)
- What is the probability that this asteroid will hit us?
It's listed in the article: Impact probability 0.034, meaning 3.4% chance of impact. - What is the time interval where that probability applies?
It's also listed: impact was estimated to potentially occur between 2023/08/14 04:48 TDB and 2023/08/15 12:22 TDB. (TDB seems to be UTC time without leap seconds? not sure). In other words the asteroid already passed Earth, and is currently no longer a risk.> [TDB] is a relativistic coordinate time scale, intended for astronomical use as a time standard to take account of time dilation when calculating orbits and astronomical ephemerides of planets, asteroids, comets and interplanetary spacecraft in the Solar System. TDB is now (since 2006) defined as a linear scaling of Barycentric Coordinate Time (TCB). A feature that distinguishes TDB from TCB is that TDB, when observed from the Earth's surface, has a difference from Terrestrial Time (TT) that is about as small as can be practically arranged with consistent definition: the differences are mainly periodic, and overall will remain at less than 2 milliseconds for several millennia.
https://en.wikipedia.org/wiki/Terrestrial_Time
> TT is distinct from the time scale often used as a basis for civil purposes, Coordinated Universal Time (UTC). TT is indirectly the basis of UTC, via International Atomic Time (TAI). Because of the historical difference between TAI and [Ephemeris Time] ET when TT was introduced, TT is approximately 32.184s ahead of TAI.
Phew!
2ms at 10km/s is off by 20m.
If there's <1% confidence - this is not exactly news.
It passed about 9 hours ago.
And jacquesm's replies to my other comments, https://news.ycombinator.com/item?id=37139144
Yikes
ZTm0038\* C2023 08 12.49542 06 32 33.23 +15 57 35.5 18.86rUNEOCPI41
Is the first entry, and asterisk-marked, on https://cneos.jpl.nasa.gov/scout/#/object/ZTm0038 at the bottom, in the Observations section.
Unusual (new to me) format. Appears to me, first guess to read: [object] [yr] [m] [day.time-decimal] [position] [elevation-angle] [observatory]
Likely oriented relative to the plane of the ecliptic, and absolute direction relative to Earth at time of observation.I don't know what I'm talking about. Just giving best-guess interpretations.
So this computation result became known after the closest approach would happen at the latest.
Looking at the asteroid I saw hitting us, 2023CX1 (known as Sar2667 before being designated), it says:
> Closest approach [...] t_max = 2023/02/13 03:22 TDB [...] Run started at 2023-02-13 11:47 UTC and ended at 2023-02-13 11:53 UTC
Again, hours after the impact actually occurred. And that's from the 7-observations page, there are 3 more pages with 28, 76, and 125 observations, all listed here: https://newton.spacedys.com/neodys2/NEOScan/index_past_imp.h...
The next one on the past impactors page has a 3 day delay between when it hit us and when its orbit was computed
What's the point of this?
At least in terms of a public service announcement; I understand it's interesting for science but not so much for linking "hey look there's an X% chance of impact....yesterday!" on news websites
Sounds like that's still state of the art.
I guess OP decided to abbreviate to >3% instead of writing 3.4%
Personally I would’ve written ~3%
Impact probability 0.034
Edit: Not familiar with the site, but I get the sense that this probability reflects the latest run. The probability hopefully gets more accurate as observations rise?
I couldn't readily figure out how to see the probability at each of the 8 observations for this one (perhaps this is the first run it's included in--all 8 observations predate this run?), but the page for actual impactors (https://newton.spacedys.com/neodys2/NEOScan/index_past_imp.h...) at least implies that accuracy may improves with each (and then maybe flip to 0/100?)
So it was just an odd choice of title by the poster.
I gather that today or yesterday an asteroid ~400m along it's biggest dimension ultimately came within x km of earth, that was close enough there was a nontrivial chance it would hit us? And this is big enough to make a 30 mile crater? And we only found out it was coming a couple days ago? Sounds like a pretty big deal if that's accurate.
Where did you find this information? I don't understand all the fields on the page, but don't see any number being 400 within an order of magnitude
I was hoping someone more familiar with this stuff could write a definitive summary.
Edit: I confused radius and diameter in my calculation and revised it. I may have made other mistakes
For sure the depth of penetration would be different for a rod shaped object of equivalent mass compared to a spheroid, the latter would penetrate much less deep. Angle of incidence would be a factor as well as (obviously) the speed of the impacting body. But if it impacted at a higher speed than that the ejecta could get out of the way it would cause an absolutely massive crater. As though you'd exploded an absolutely enormous nuclear bomb deep underground, but not so deep that the explosion would still reach the surface. That would probably be the worst case scenario for an impact like this.
> Closest approach time of impactors: t_min = 2023/08/14 04:48 TDB and t_max = 2023/08/15 12:22 TDB
If so then we're all good. Can the poster or anyone else chime in with background on this?
linking to https://cneos.jpl.nasa.gov/scout/#/object/ZTm0038
It has some cool graphs that seem to show a lot of uncertainty in closest approach time
[edited to fix second link]
TBD seems to be roughly UTC time. In which case, this passed by 8 hours ago.
I'm not sure if I did it right (I used the 15.84 km/s as impact speed, picked 45 deg impact, and an iron asteroid). It's certainly serious - millions dead - especially if it hits Manhattan as neal.fun seems to invite you doing, but not world-ending.
https://impact.ese.ic.ac.uk/cgi-bin/crater.cgi?dist=100&diam...
4 mile crater, 2300 MT of TNT equiv. so about 45 Tsar Bombas.
https://cneos.jpl.nasa.gov/scout/#/object/ZTm0038
Because it looks like today is the most probable day of impact at 10%, but there is a good 25%+ chance it will impact sometime in the next two weeks.
https://www.sciencedirect.com/science/article/pii/S009457651...
Not my area of expertise, but it sounds like a deep ocean impact would not be completely catastrophic.
With only ∼1% of the asteroid kinetic energy being converted into tsunami waves and with the stronger decay with distance implies that moderate size asteroids (100–500 m in diameter) striking the deep ocean basins off the continental shelves are not a significant overall hazard...
So like a 50% chance it wouldn't be that bad. Larger asteroids would vaporize enough ocean water to cause long lasting atmospheric affects.
Otherwise, a land impact would be somewhere in the 1-100 Tsar Bomba range energy wise.
https://www.projectpluto.com/neocp2/mpecs/ZTm0038.htm
In particular the MOID (Minimum Orbit Intersection Distance, the minimum distance between the orbit of the object and the Earth, in AU) is 0.0199 AU which is still 3 million km
Was any action taken at all? A 3% risk isn't small.
~400m diameter
As I understand it, we can only calculate the albedo if we know the size and apparent brightness.
I'll note that the linked NEOscan page has an H of 19.9, while JPL's CNEOS has an H of 19.2.
H is basically the same as M, an absolute magnitude, but for solar system objects. Difference being that for solar system objects H, as you've noted, is an absolute magnitude for an object 1 AU from Earth and 1 AU from Sun in a triangle where phase angle is zero meaning it's a straight line instead of a triangle and M is an absolute magnitude for an object (usually self illuminating) outside of solar system set at 10 parsecs from Earth. A star with M = 1 and a solar system object with H = 1 would roughly be the same brightness. It's a log scale, lower the number the brighter it is, so if you put that star at the same spot as the object it'd be a difference of about 26 where each unit is roughly 2.5 times brighter. What's interesting is that at zero it used to (roughly) be Vega (star). Both M and H are band-dependent, I guess it's V-band (visual or green-ish) if it's not mentioned. If you have B (blue) and V band, the difference between the two tells you a (visual) color which can be also interpreted as temperature, the lower the number the bluer it is and higher means red.
I'm all out of trivia for the night. I'm sure there are (amateur and not) astronomers and astrophotographers here that know this stuff way more about. All I knew is that without albedo you couldn't get to the size with absolute magnitude alone, we could if we had both absolute and apparent. What I didn't know if that apparently there's a rough table of correlation between H and albedo values probably based on most rocks we've seen in space around us.
Depends on what you wake up from: sirens and broken windows everywhere but not a direct hit, for instance, I wouldn't call 'no problem' :(
ZTm0038* C2023 08 12.49542 06 32 33.23 +15 57 35.5 18.86rUNEOCPI41
Is the first entry, and asterisk-marked, on https://cneos.jpl.nasa.gov/scout/#/object/ZTm0038 at the bottom, in the Observations section.Unusual (new to me) format. Appears to me, first guess to read:
[object] [yr] [m] [day.time-decimal] [position] [elevation-angle] [observatory]
Likely oriented relative to the plane of the ecliptic, and absolute direction relative to Earth at time of observation.https://www.youtube.com/watch?v=bU1QPtOZQZU
Of course 500 Km is a big difference with 400 meters but to those near the point of impact it wouldn't matter and the global effects would still be beyond anything in our history.
This is one interpretation of what this could look like:
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/201...
[1] MOID given as 0.0000296
https://newton.spacedys.com/neodys2/NEOScan/risk_page/ZTm003...
[2] AU to km https://www.google.com/search?q=au+to+kilomore&rlz=1C1GCEA_e...
I don't feel very reassured.
Also both these entities are "lost" but not "high priority" https://newton.spacedys.com/neodys2/NEOScan/index_nspl.html
If ZTm0038 does indeed have a 3% chance of impact, it would, like Apophis, land as a 4 on the Torino scale, tying the record for the most threatening asteroid in history. Unlike Apophis, however, the impact has a lead time of hours, not decades. Efforts might have been made to deflect Apophis; no such effort could realistically be made for ZTm0038.
It's worth noting that NASA's Scout page (https://cneos.jpl.nasa.gov/scout/#/object/ZTm0038) for ZTm0038 has a much higher probability of impact: of their 1000 sampled orbital solutions, 160 of them impact Earth. A 16% chance of impact for a 400m asteroid would put ZTm0038 on the border of a Torino 5, and would make it by far the most threatening asteroid ever discovered.
That said, note that the prior here has to be that an impact of such a size is very unlikely. Such impacts are exceedingly rare. The Tunguska event, for example, was an asteroid 1/8 the diameter (so 1/8^3 = 512 times smaller in volume) as ZTm0038, and it was by far the largest impact in recorded history. Since impacts roughly follow a power law, the much larger putative impact of ZTm0038 would be proportionately rarer, the sort of thing you'd see every hundred thousand years or so.
Or 0-3.4%?
Or 0-6.8%?
Etc
Luna's distance is roughly 384,000 km -- so call it 8 lunar orbital distances...
(edited to add the link) [1] https://www.projectpluto.com/neocp2/mpecs/ZTm0038.htm
If you can read this that means it hasn't hit you.
For a comparison, the Lake Toba eruption (which is suspected of causing homo sapiens to almost go extinct 76kya) is estimated to have been in the 1-2Gt range.
And why is there no articles about it on Wikipedia yet?
The impact energy of a 400m diameter asteroid is somewhere in the same ballpark as the deployed nuclear arsenal of the United States.
Not extinction-level impact, but wherever it hit would definitely feel it.
But the world will go on, people will shrug their shoulders and go on with life.
If it was a 60 mile wide asteroid, now that would truly be the end.
I googled your question :)
Bad news for any life forms on its path either way, to be fair
Naturally what do we do with that money and goodwill instead? Yes! Let's build a massive space telescope which takes pictures that are only marginally better than the other multi-billion dollar space telescope!
Protect the Earth? Fuck that, don't ya know kid? She's toast anyway because the Sun will explode soon! Also get in loser, we're going to Mars!
The National Academies report that you link to down-thread did not state that nothing can be done. They discuss multiple options, and they discuss which options would be most effective given different amounts of warning lead time. Figure 5.5 (https://nap.nationalacademies.org/read/12842/chapter/7#85) is a great high-level view of the option space.
A real message to take away from the "Mitigation" section of that report is that it's important to identify dangerous objects as early as possible.
The Siberian one was a very nice illustration of how completely blindsided we were and now that Arecibo is gone we have lost one very powerful tool in our arsenal that could have helped with this.
But don't let it ruin your day, the chances of this happening are very low, one in a million or larger.
Here is some more recent stuff on this subject:
https://earthsky.org/space/dart-mission-deflected-asteroid-u...
(Doesn't make a huge difference but gives experimental validation of their previous theories.)
Some choice quotes from the report:
" As addressed in Chapter 5, the time required to mitigate optimally (other than only via civil defense) is in the range of years to decades, but this long period may require acting before we know with certainty that an NEO will impact"
"The amount of destruction from an event scales with the energy being brought by the impacting object. Because the range of possible destruction is so huge, no single approach is adequate for dealing with all events. For events of sufficiently low energy, the methods of civil defense in the broadest sense are the most cost effective approach for saving human lives and minimizing property damage.[+] For larger events, changing the path of the hazardous object is the appropriate solution, although the method for changing the path varies depending on the amount of advance notice available and the mass of the hazardous object. For the largest events, from beyond global catastrophe to events that cause mass extinctions, there is no current technology capable of sufficiently changing the orbital path to avoid disaster."
[+] So, in the case of say the Siberian meteor if we had seen it coming (which we did not) you could have called on all the people in a 100 km (1/20th of a second of travel!) radius or so to go to the nearest shelter. This likely would have caused more injuries and casualties than the event itself did, but if the impact had been a bit more steep and closer to a city (or even in a city) then it may well have saved (some) lives. Note that that was only 18m across, was going close to 70 K km/hour, weighed 9000 tons and that it exploded nearly 30 Km up in the air.
"Finding: No single approach to mitigation is appropriate and adequate to fully prevent the effects of the full range of potential impactors, although civil defense is an appropriate component of mitigation in all cases. With adequate warning, a suite of four types of mitigation is adequate to mitigate the threat from nearly all NEOs except the most energetic ones."
Note the careful qualifications, 'adequate warning' does a lot of heavy lifting there.
Pages 70 and onwards are pretty realistic and I think that the table really tells it all, none of the methods outlined are going to be practical given realistic times of warning and the kind of effect that you would have to create to make a meaningful difference in the outcome. Unless you happened to be able to pinpoint the trajectory with extreme precision and you had plenty of time and the impactor would be small enough. But that's playing the lottery. 'Civil defense' is code for 'shelter and evacuation', but assuming we're talking about an impact the size of the one that we are talking about here (400 meters, a couple of hours notice) utterly futile, especially if you don't know exactly where it is going to come down, you might end up moving people in the wrong direction, besides the mass panic. I don't want to be overly pessimistic but I'm with Jewitt in the sense that I do not believe we are geared up to deal with a challenge at that level.
Here it is in his own words in case you don't believe me:
That way, we could paint a huge smiley face on the asteroid.
I would much rather be exterminated by an asteroid with a smiley face than a big dumb pile of rocks. (Even if the smiley face keeps spinning out of view while it's coming in.)
Oh. You're probably talking about deflection. Yeah, deflection requires massive lead time, way more ballistic forecasting ability than I suspect we're capable of (isn't a clump of rocks going to heat up and throw things off as it comes in closer to the sun?), massively efficient engines to match velocity, and a whole lot of wishful thinking.
The smiley face might still be useful in that implausible scenario, I guess, if it changes the reflectivity enough to let the sun slowly nudge it out of the way? It at least avoids the velocity matching problem; you're intentionally crash "landing" anyway. And spinning is probably ok, as long as Galileo was right and the sun isn't orbiting around the asteroid. It's not likely to head straight at the sun.
But as you say, intervention seems just as likely to make things worse as better.
But first you have to be able to detect it, second you have to do it with reasonable time to save as many people as possible
https://www.boulder.swri.edu/~bottke/Reprints/National_Acade...
Note that Arecibo is now gone.