MIT Has Predicted that Society Will Collapse in 2040 | Economics Explained
MIT Has Predicted that Society Will Collapse in 2040 | Economics Explained
The first 1,000 fans to signup with this link will get a 1 month free trial of Skillshare
π https://skl.sh/economicsexplained11211
Watch βHow Not To Suck At Speaking Aussieβ π https://www.skillshare.com/classes/Hoβ¦
βββββββββββββββββββββββββ
The Economic Explained team uses Statista for conducting our research. Check out their YouTube channel: Β Β Β /Β @statistaofficialΒ Β
Enjoyed the video? Comment below! π¬
β Subscribe to Economics Explained π https://bit.ly/sub2ee
β Enjoyed? Hit the like button! π
Q\u0026A Streams on EEII (2nd channel) β Β Β Β /Β @economicsisepicΒ Β
βοΈ Business Enquiries β [email protected]
π§ Listen to EE on Spotify! π https://anchor.fm/EconomicsExplained
Follow EE on social media:
Twitter π¦ β https://twitter.com/EconomicsEx
Facebook β https://www.facebook.com/EconomicsEx
Instagram β https://www.instagram.com/economicsexβ¦
#EconomicCollapse #Economics #EconomicsExplained
βββββββββββββββββββββββββ
ECONOMICS EXPLAINED IS MADE POSSIBLE BY OUR PATREON COMMUNITY ππ
Support EE by becoming a Patron today! π https://www.patreon.com/EconomicsExplβ¦
The video youβre watching right now would not exist without the monthly support provided by our generous Patrons:
Morgon Goranson, Andy Potanin, Wicked Pilates, TadeΓ‘Ε‘ UrsΓny, Logan, Angus Clydesdale, Michael G Harding, Hamad AL-Thani, Conrad Reuter, Tom Szuszai, Ryan Katz, Jack Doe, Igor Bazarny, Ronnie Henriksen, Irsal Mashhor, LT Marshall, Zara Armani, Bharath Chandra Sudheer, Dalton Flanagan, Andrew Harrison, Hispanidad, Michael Tan, Michael A. Dunn, Alex Gogan, Mariana Velasque, Bejomi, Sugga Daddy, Matthew Collinge, Kamar, Kekomod, Edward Flores, Brent Bohlken, Bobby Trusardi, Bryan Alvarez, EmptyMachine, Snuggle Boo Boo ThD, Christmas
Content
0.24 -> in 1972 researchers at mit concluded
3.199 -> that society was on track to collapse by
5.279 -> the year 2040. a follow-up study
7.759 -> conducted by an analyst at kpmg found
10.16 -> that we are ahead of schedule advanced
12.799 -> human civilizations have existed for at
15.2 -> best 10 000 years in that time many
18.16 -> great empires rose from nothing and
19.92 -> returned to nothing leaving behind
21.84 -> little more than artifacts and crumbling
23.6 -> architecture while it's hard for
25.439 -> historians to definitively say what
27.439 -> caused any of these particular collapses
29.92 -> the determining factors tend to fall
31.599 -> into four broad categories political
34.32 -> issues social and cultural issues
36.8 -> environmental issues and of course the
38.879 -> one that we're specifically interested
40.239 -> in economic issues any civilization that
43.6 -> has been reduced to little more than an
45.12 -> entry into a textbook fell through some
47.2 -> combination of these four factors
50.16 -> some were almost instantaneous the great
52.559 -> city of pompeii succumbing to the
54.079 -> eruption of mount vesuvius some took a
56.399 -> few weeks the aztec empire collapsed
58.32 -> after 93 days of resistance against the
60.48 -> spanish and some took centuries 300
63.92 -> years separated the height of the roman
65.519 -> empire with its eventual collapse our
68.24 -> modern civilization is the greatest ever
70.56 -> known hundreds of thousands of times
72.72 -> wealthier and more advanced than even
74.32 -> the most massive empires of history
75.92 -> could have imagined if you are watching
77.84 -> this video you have access to the
79.68 -> internet if you have access to the
81.28 -> internet you have access to a source of
83.04 -> knowledge that scholars and kings could
84.64 -> not have dreamt of just a hundred years
86.32 -> ago the same is true for other modern
88.479 -> luxuries that we take for granted
90.159 -> climate control worldwide travel cheap
92.4 -> and effective clothing medicine
94 -> instantaneous communication plentiful
96.079 -> and safe food water on tap and even
98.64 -> little luxuries like being able to
100 -> listen to your favorite song pretty much
101.759 -> whenever you feel like it a question i
103.92 -> get asked a lot is who is the richest
105.84 -> person in history the answer elon musk
109.119 -> or it was about a week ago when he was
110.88 -> worth more than 270 billion dollars that
113.439 -> might have changed depending on when you
114.72 -> actually watch this video oh but what
116.96 -> about rockefeller the rothschilds the
118.88 -> romanovs or even this monster moosa
120.88 -> fella that people keep on bringing up
122.799 -> what about them sure they were rich for
125.2 -> their time but their time was one of
127.52 -> almost universal poverty despite their
130.08 -> relative wealth they couldn't dream of
132 -> all the amenities that you think nothing
133.68 -> of let me tell you if i had the choice
135.92 -> between my modern rented two-bedroom
137.76 -> apartment and a sprawling 15th century
140.319 -> french palace with no air conditioning
142.319 -> no plumbing and no food that wouldn't
144.08 -> give me cholera i would take the
145.84 -> apartment 10 times out of 10 and you are
148.56 -> a fool if you wouldn't do the same the
151.04 -> best part is i haven't even mentioned
152.8 -> war yet despite what most people might
154.959 -> think based on their diet of cable news
156.8 -> on the front page of reddit we are
158.239 -> living through one of the most peaceful
159.68 -> periods in human history ever
162.16 -> overwhelmingly this has all been thanks
163.76 -> to a combination of technology education
166.16 -> and global cooperation even nations that
168.879 -> have resentful hostilities bubbling away
171.04 -> beneath the surface are more dependent
172.959 -> on one another today than even the
174.8 -> closest of allies were back in the time
176.64 -> of napoleon why get hostile when you can
179.599 -> get rich it sounds vapid but it's a good
182.4 -> thing albeit a fickle one
184.48 -> comparing our modern global economy to
186.319 -> even the greatest empires throughout
187.84 -> history is like comparing a jet engine
190.08 -> to a donkey that's not hyperbole that's
192.4 -> how far ahead we are today but this is
194.959 -> actually the problem sure a jet engine
197.2 -> is faster and more powerful than a
198.8 -> donkey but it's less resilient one tiny
201.68 -> flaw in its incredibly complex network
203.68 -> of interdependent components could
205.12 -> render the whole thing useless what's
207.2 -> worse is that it moves so fast and flies
209.599 -> so high that even the slightest hiccup
211.36 -> becomes catastrophic most of us alive
213.84 -> today and especially those of us sitting
215.76 -> at home watching internet videos on our
217.36 -> smartphones would not know how to
218.879 -> survive very long if we didn't have food
220.799 -> within easy reach sometimes literally
223.12 -> delivered to our door but i'm getting
225.12 -> ahead of myself and probably starting to
226.64 -> sound like some kind of deranged
228.159 -> doomsday prepper screaming the end is
230 -> nice so let's break down exactly how
232.319 -> this mit study predicted that society
234.56 -> would collapse what measurable metrics
237.28 -> was mit looking at to determine that the
239.12 -> world was going in a good or a bad
241.36 -> direction what did these metrics tell us
243.92 -> about the way our society would
245.2 -> supposedly break down and finally is the
248.159 -> fact that this report is ahead of
249.84 -> schedule actually something to be
251.2 -> worried about or is this all just the
252.959 -> case of too much weight being given to
254.799 -> statistical correlations
257.28 -> this video is brought to you by
258.56 -> skillshare thanks to skillshare you can
260.479 -> learn new skills like drawing cooking
262.16 -> and even how not to suck at speaking
263.84 -> australian a 12 minute course that i
265.919 -> created to help you decipher the aussie
267.68 -> lexicon here's a quick preview
270.24 -> why does this australian tribe assign so
272.72 -> many nicknames to common nouns words
274.72 -> like brekkie chewie and stubby
277.199 -> if all of this sounds intimidating don't
279.759 -> worry together we will decipher the
282.08 -> australian lexicon once and for all
284.96 -> be one of the first 1 000 viewers to
286.56 -> sign up with the link in the description
287.919 -> box below to get a one month free trial
289.84 -> of skillshare premium after signing up
292.24 -> you'll gain instant and unlimited access
294 -> to my course as well as thousands of
296 -> other awesome courses again the link is
298.32 -> in the video description below
301.12 -> okay so the mit study specifically
303.28 -> titled the limits to growth set out to
305.68 -> primarily explore if our current usage
307.68 -> of the world's resources was sustainable
310 -> spoiler alert it wasn't the study was
312.56 -> actually one of the first economic
313.68 -> studies ever to use computers sporting
315.84 -> dynamic systematic models i am not a
318.8 -> computer scientist so there are plenty
320.72 -> of people who could explain what system
322.32 -> dynamics are far better than i could but
324.479 -> in brief it's basically a piece of
326.32 -> software that attempts to replicate the
327.84 -> workings of complex real-life systems by
330.479 -> replicating them in the software it
333.039 -> sounds very familiar to us today but
334.96 -> remember this was taking place back in
336.72 -> the 60s and the 70s where computers
339.039 -> looked like this and had about as much
340.72 -> processing power as your kettle despite
343.039 -> these limitations the mit team
344.88 -> eventually created world 3 which was a
348.16 -> computer model for the entire global
350.4 -> economy this piece of software modelled
352.72 -> everything from variable population
354.479 -> growth to industrial capacity it also
356.96 -> crucially modeled how everything would
358.479 -> interact with one another for example a
361.039 -> large population is naturally going to
362.88 -> require more resources more food more
365.44 -> water more homes more of everything but
368 -> a larger population will also naturally
370.08 -> lead to more innovation we have a much
372.479 -> better chance of finding a tesla da
374.479 -> vinci haber bosch or whittle with a
376.4 -> population of 8 billion than we do with
378.4 -> a population of two billion which is
380.56 -> where the world was a hundred years ago
382.639 -> it's a common joke amongst
383.68 -> macroeconomists that every change you
385.68 -> make to the economy changes at least
387.84 -> three other things sometimes we pave
390.24 -> over this issue by assuming ceteris
392 -> paribus or all other things been equal
394.08 -> in our models this economic assumption
396.4 -> is great for looking at cause effect in
398.479 -> isolation for example a soda tax
401.199 -> increases the price of and therefore
402.88 -> reduces the demand for sugary beverages
405.52 -> all other things being equal but this is
408 -> the real world nothing ever remains the
410.319 -> same just because it's easier to model
412.24 -> that way predicting the future is
414.479 -> extremely hard at the best of times and
416.8 -> almost impossible if you don't account
418.8 -> for almost every variable and that's
421.919 -> what world 3 attempted to do the world 3
424.8 -> program had systems for modeling
426.56 -> everything from birth rates to farming
428.639 -> technology the idea was all of these
430.96 -> variables were very important to
432.56 -> maintaining the modern lifestyles that
434.08 -> we enjoy today but because they interact
436.479 -> with one another they were prone to
438.639 -> feedback loops the idea of a feedback
441.199 -> loop actually comes from musical
442.8 -> performances if you have ever held a
444.8 -> microphone up to a loudspeaker you will
446.88 -> know the horrible high-pitched sound
448.4 -> that comes out of it that's because the
450.479 -> microphone is hearing a loud noise it is
452.8 -> then telling the speaker to amplify and
454.639 -> play that loud noise even louder only
456.96 -> for that new loud noise to be picked up
458.639 -> by the microphone all over again the
460.96 -> same kind of effect can happen in
462.639 -> economies for example declining birth
465.039 -> rates can lead to an ageing population
467.28 -> an aging population will put more
468.879 -> financial pressure on younger workers to
470.56 -> care for the elderly either directly by
472.4 -> caring for them at home or indirectly
474.08 -> through taxes to fund pension schemes
475.84 -> and aged care this financial pressure
477.68 -> will mean younger workers have less time
479.52 -> and less agreeable conditions to make a
481.36 -> family of their own and you are left
482.8 -> with further declining birth rates this
484.96 -> is actually a very important example as
487.039 -> it pertains to the mit study you see
490 -> while the study accounted for hundreds
491.44 -> of variables in its computer-generated
493.039 -> model of the global economy it was
494.96 -> actually only interested in tracking
497.199 -> five of them these were population
499.759 -> industrial output food production
501.759 -> available resources and pollution it's
504.8 -> worth remembering that this report was
506.4 -> published in 1972 before climate change
509.44 -> was more than a blip on the scientific
511.12 -> community's radar and certainly far from
512.959 -> being the widely recognized issue it is
514.959 -> today chances are if the paper was
517.279 -> replicated today it would also include
519.599 -> average global temperatures but it
522 -> wasn't so it didn't now despite that you
525.519 -> should be able to see that all of these
527.04 -> individual factors are very important to
529.04 -> how we live and work in the world today
531.2 -> but perhaps what is more important is
533.12 -> again how they end up interacting with
535.36 -> one another let's go back to the
536.88 -> economist safe space for a second and
538.64 -> assume that all other things are equal
540.959 -> outside of food and population now these
543.92 -> variables are obviously dependent on one
546 -> another if one moves the other will too
548.72 -> all other things been equal but what
550.959 -> sounds like a more concerning order of
553.44 -> events a declining population leading to
556.08 -> a decline in food production or a
558.56 -> decline in food production leading to a
560.959 -> decline in population yeah obviously two
564.48 -> very different scenarios right there
566.8 -> okay so now that we understand how to
568.959 -> interpret the data generated by this
570.399 -> report what did it actually say
573.44 -> well like good economists the
575.12 -> researchers kind of hedged their bets
577.519 -> predicting the future exactly is a
579.839 -> fool's errand they could have published
581.519 -> their paper one day before a design for
583.6 -> a commercially viable fusion reactor was
585.519 -> developed and researchers realized this
587.68 -> so what they did instead is they tweaked
590.08 -> the initial conditions and ran the
591.839 -> simulation over and over again in some
595.44 -> simulations they would assume that
596.959 -> innovation remains at a constant pace
598.72 -> and worker productivity continues to
600.399 -> improve at the rate it currently has
602 -> been in other simulations they would
603.839 -> assume that technological innovation
605.36 -> continues to compound on itself meaning
607.279 -> things like harvesting resources from
609.12 -> space or growing food in laboratories
611.04 -> becomes possible and then in other
612.72 -> simulations they would assume that
614.079 -> technological progress would slowly
615.68 -> plateau a quick side note is that a
618.24 -> technological plateau might not sound
620.399 -> very realistic to us today but that's
622.48 -> only because we have grown up in a time
624.32 -> of constant innovation moore's law is a
626.8 -> great example of this for the past five
628.959 -> decades computing power has roughly
630.88 -> doubled every two years but we are
633.2 -> starting to reach the physical limits of
634.959 -> how many transistors we can pack onto a
636.959 -> microchip promising technologies like
639.2 -> quantum computing may solve this issue
641.04 -> and let us continue to gain access to
642.959 -> even more computing power but then again
645.12 -> it may not and that's just one example a
648.399 -> lot of technological innovation these
650.079 -> days is just major companies finding new
652.32 -> and innovative ways for you to waste
653.839 -> your time consuming advertiser content
655.839 -> and yes i realize the irony that i am
657.92 -> part of the problem here but here you go
659.839 -> have an ad what a good little consumer
661.839 -> you are anyway technological innovation
664.56 -> was just one variable the researchers of
666.72 -> this report tweaked they also ran models
668.88 -> that assumed lower birth rates higher
670.64 -> birth rates higher rates of recycling
672.88 -> more resource discoveries greater levels
674.88 -> of global trade reduced levels of global
677.04 -> trade they basically tried to account
678.959 -> for every outcome that would be possible
681.519 -> with a realistic combination of factors
683.839 -> in this economic model they then
685.76 -> averaged out the trajectories of five
687.519 -> crucial factors to determine where
689.36 -> humanity would end up as you would
691.6 -> suspect from a range of models with
693.36 -> variables changed up every time they got
695.68 -> a range of different results but they
697.92 -> all sort of had one thing in common they
700.16 -> all showed a significant decline around
702.8 -> the year 2040. of course it's impossible
705.92 -> to address all of the thousands of
707.839 -> potential outcomes that were modeled but
710.16 -> the researchers really focused on a few
712.24 -> that fell well within the standard
714.16 -> deviation of all of these potential
716.8 -> outcomes the first and potentially most
719.279 -> optimistic outcome was called the
720.88 -> comprehensive technology scenario this
723.36 -> was a model where we continue to live
724.88 -> like we currently do today but
726.88 -> technology progressed fast enough to
728.48 -> ensure that our productive capacity was
730.16 -> able to keep up with the new people that
731.839 -> needed to be fed and housed and clothed
734.399 -> the model still predicts a significant
736.48 -> drop in food production brought about
738.079 -> primarily due to pollution of waterways
740.079 -> and the misuse of arable land but that
742.079 -> is addressed through technological
743.519 -> innovation the population does start to
745.92 -> plateau around the year 2040 but that's
748.48 -> due to the natural tendency of wealthier
750.8 -> more urban populations to have less
752.959 -> children rather than people starving to
755.04 -> death due to lack of food in this model
757.36 -> industrial output does peak and then
759.279 -> decline which would normally indicate
761.279 -> lower living standards but this is
763.519 -> almost entirely contradicted by the more
765.76 -> efficient use of the goods that we do
767.76 -> have if tomorrow technology got to such
770.32 -> a point where we had self-driving cars
772.48 -> then the need for individual car
774 -> ownership would be greatly reduced this
776.24 -> would likely lead to a fall in
777.76 -> industrial output but it's not like we
780 -> would be poorer because of this it's
781.92 -> just that suddenly a car that used to
783.44 -> service only one household can now be
785.68 -> efficiently shared amongst dozens this
788.399 -> is actually what the world economic
789.68 -> forum was talking about when they
791.04 -> famously said that you will own nothing
793.279 -> and be happy about it they either just
795.44 -> really don't understand how to
796.56 -> communicate with the general public or
798.24 -> they secretly enjoy making people angry
801.12 -> the more efficient use of resources
802.72 -> would also reduce pollution and ensure
804.72 -> that raw materials are never reduced to
807.12 -> nothing this wouldn't be a totally
809.519 -> terrible outcome and yeah we might not
811.36 -> continue to see the same exponential
813.2 -> growth in living standards that we have
814.32 -> seen over the past 100 years or so but
816.56 -> it also wouldn't be a societal collapse
818.88 -> either if you don't feel comfortable
820.88 -> relying on some new way of technological
822.88 -> innovation to save us all then the
824.399 -> researchers who publish this report have
826.399 -> an alternative the so-called stabilized
828.88 -> world scenario is what would happen if
830.8 -> the world just maintained its current
832.399 -> rate of innovation while also investing
834.48 -> heavily into things like renewable
836.079 -> energy sources and materials recycling
838.639 -> processes again this model was made
841.04 -> before climate change was considered a
842.48 -> factor so when we are talking about
844 -> recycling and renewables we are looking
845.92 -> at it purely through the lens of
847.6 -> resource depletion and local pollution
849.519 -> while totally disregarding other
851.12 -> externalities like carbon emissions this
853.6 -> stabilized world scenario looks very
855.44 -> similar in many ways to the
856.72 -> comprehensive technology outcome that we
858.399 -> explored earlier the main difference is
860.639 -> an almost voluntary reduction in
862.48 -> industrial output before it creates
864.24 -> problems like food shortages and
865.92 -> excessive pollution of all the models
868.56 -> based on all the different combinations
870.48 -> of variables this is what the
871.68 -> researchers identified as the most
873.839 -> optimistic again most optimistic barring
876.959 -> some crazy unforeseen technological
878.959 -> development that radically reshapes how
880.72 -> we run our economies this could happen
882.88 -> and hopefully it will but it's hard to
885.12 -> make concrete plans for technologies
887.04 -> that we can't conceive of yet outside of
889.36 -> maybe making a spiritual sacrifice to
891.199 -> daddy elon can't hurt anyway the bad
894.8 -> news is that while the original study in
896.56 -> 1972 thought this could be something
898.8 -> that we could realistically work towards
900.8 -> the timeline of all the captured
902.48 -> variables in this outcome has the least
904.639 -> closest fit to our current reality as
906.88 -> explored by the 2021 follow-up study
909.6 -> gaia herrington's study instead suggests
912 -> that the path that we are actually on
913.76 -> best represents what the 1972
915.839 -> researchers dubbed the business as usual
918.24 -> 2 scenario and that's not good this is a
922.399 -> model that highlights a very clear
924.839 -> collapse pollution continues to increase
927.12 -> exponentially and things like recycling
929.04 -> of common materials never become
930.639 -> economically viable or subsidized widely
932.88 -> enough industrial output does reach a
935.12 -> higher level than in all of the other
936.56 -> possible scenarios but that is about
938.72 -> where the good news ends a drop in food
941.04 -> production causes massively declining
942.88 -> birth rates in rich countries and
944.56 -> famines in poor countries the lack of
946.959 -> young workers reduces industrial output
948.88 -> which further hinders economic
950.24 -> prosperity easily accessible resources
952.639 -> also dwindle away which again further
954.56 -> reduces industrial output and economic
956.48 -> prosperity by all accounts this is what
958.72 -> we would consider a complete collapse of
961.36 -> society i said at the beginning of this
963.199 -> video that i would rather be a middle
964.8 -> class worker in today's world than a
966.72 -> king from anywhere beyond 150 years ago
969.519 -> if the business's usual model was to
971.6 -> play out then i would rather be a middle
973.6 -> class worker today than a king just 20
975.759 -> years in the future and that's a
977.36 -> genuinely scary thought so if you are
979.92 -> feeling a bit anxious like i was while
981.6 -> reading this study perhaps it's
983.12 -> important to address the criticisms of
985.12 -> this model a study that basically
987.199 -> amounts to someone screaming the world
989.04 -> is going to end is naturally going to be
990.88 -> met with some cynics and that was the
993.04 -> case for the limits to growth report
995.36 -> it's worth noting that a lot of these
997.199 -> criticisms have been proven wrong simply
999.44 -> by the fact that the data is tracking
1000.959 -> the predictions in the business as usual
1002.56 -> model with pretty frightening accuracy
1005.04 -> other critics point out that this study
1006.72 -> has a very pessimistic way of dealing
1008.72 -> with human innovation these critics
1010.639 -> conceded that yeah sure right now our
1012.959 -> rate of innovation might not be
1014.639 -> sufficient to avoid this kind of
1016 -> collapse but necessity is the mother of
1018.639 -> invention as soon as humanity's back is
1021.12 -> against the proverbial wall a lot more
1022.959 -> attention will be placed on researching
1024.72 -> and investing into technologies that
1026.24 -> could push us from the doomsday scenario
1028.24 -> of the business's usual model into the
1030.319 -> more palatable comprehensive technology
1032.24 -> scenario we can already start to see
1034.48 -> this taking place with a huge surge in
1036.319 -> renewable is becoming available in the
1038.4 -> public market certainly there are still
1040.4 -> some areas where we are lacking waste
1042.559 -> management been a huge one but we are
1044.64 -> much better than we were even a decade
1046.48 -> ago if you want me to tell you what i
1048.64 -> think will happen i'm sorry i'm just
1050.559 -> going to encourage you to read the two
1051.84 -> reports yourself i generally want to be
1054.48 -> optimistic about the future but i also
1056.4 -> realize that my opinion does not carry
1058.32 -> nearly as much weight as research
1059.679 -> published by a collection of 17 of the
1061.36 -> world's top economists and scientists
1063.84 -> research that has been vindicated by
1065.36 -> another very talented individual best
1067.52 -> case scenario this was all massively
1069.52 -> overblown and we could use this as an
1071.12 -> excuse to learn about the limits of
1072.4 -> creating systematic models to predict
1074 -> the future worst case scenario well i
1076.64 -> guess it's time to start learning how to
1078.08 -> forage for food in the wilderness which
1080.24 -> you can start right now with skillshare
1083.2 -> thanks to skillshare you can master
1084.88 -> virtually any skill you can think of
1087.039 -> before signing up i could barely draw a
1089.28 -> stickman figure but after watching a
1091.28 -> couple of helpful courses my
1092.64 -> illustration skills have improved
1094.32 -> dramatically if drawing isn't your thing
1096.559 -> skillshare offers a wide array of
1098.48 -> courses on lots of other topics from
1100.48 -> cooking to coding you name it skillshare
1103.039 -> has you covered if you're interested in
1104.799 -> becoming an actor or actress but don't
1106.559 -> know how to pull off a convincing
1107.76 -> australian accent fear not because you
1110.08 -> can learn right now thanks to my mini
1112.24 -> course on how not to suck at speaking
1113.919 -> australian pause the video right now and
1116.16 -> be one of the first 1 000 viewers to get
1118.32 -> one month of free skillshare premium by
1120.48 -> signing up using the link in the
1121.84 -> description below as always thanks for
1124.24 -> watching mate bye
Source: https://www.youtube.com/watch?v=kVOTPAxrrP4