Mexico City – One of the financial powerhouses and cultural capitals of Latin America. Explore the colorful city here and start planning an adventure of your own!
Mexico City – One of the financial powerhouses and cultural capitals of Latin America. Explore the colorful city here and start planning an adventure of your own!
Undefeated, Death-{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03} in ~100-Infected-Nations stay, despite efforts by their Gov-Virus-Czars, (GVC).
These Death-{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03} rule billions today, thus, 100{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-recovery is raised via new, shared, modified, PLAN-B.
But total-recovery cant' start without emergency need of new, Science-Philosophy-Language, SPL.
How, in short, total-recovery via SPL work? Post presenting 3-Tables by pre-SPL-D{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}, we explain.
Age vs VIRUS-Death-{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03} in ~100 Infected Nations
0–34 0.004{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
35–44 0.068{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
45–54 0.23{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
55–64 0.75{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
65–74 2.5{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
75–84 8.5{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
85 + 28.3{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
GVC lockdowns, masks, vaccines, etc. keep these individual D{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03} approximately invariant
vs "preconditions" and/or life in crowded, infected-locations, under various National,
GVC-Death-{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-TRENDS presented next as PREFACE to total-recovery via new SPL.
What, in short, total-recovery via SPL is? Post this SPL-PREFACE, we can explain.
GVC-D{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-Trend Nov-2, Dec-28, Jan-31, Feb, Apr, May, Jun, Jul, Aug, Aug-26, cf Order
GRMNY 1.97 1.84 2.56 2.65 2.49 2.45 2.43 2.42 2.37
GREC 3.70 3.67 3.01 2.91 2.54 2.46 2.36
BLGM 2.53 2.47 2.30 2.22 2.20 2.16
AUSTRL 3.28 3.21 3.16 3.15 3.08 3.00 3.02 3.19 2.47 2.07
UK 4.51 3.09 2.77 2.83 2.89 2.90 2.51 2.15 2.10 2.00
CNDA 4.30 3.71 2.57 2.58 2.02 1.86 1.85 1.84 1.82
SPN 2.89 2.66 2.06 2.10 2.23 2.20 2.06 1.79 1.76 1.74
US 2.51 1.74 1.69 1.69 1.78 1.79 1.72 1.71 1.72
FR 2.69 2.45 2.39 2.38 1.87 1.80 1.92 1.78 1.75 1.70
SWS 1.80 1.62 1.55 1.55 1.49 1.43
INDIA 1.11 1.15 1.11 1.32 1.34 1.34 1.34
SWDN 4.78 2.09 2.04 2.06 1.46 1.34 1.32 1.30
NL 2.11 1.44 1.43 1.44 1.16 1.10 0.93 0.95 0.94 0.93
NZ 1.00 1.00 0.94 0.90 0.89 0.81
ARUBA 0.86 0.86 0.93 0.96 0.89 0.87 0.93
FIN 2.20 1.54 1.48 1.06 1.00 1.00 0.88 0.85 0.82
TLND 0.35 0.27 0.68 0.82 0.83 0.92
DNMRK 1.06 0.99 1.00 0.85 0.79 0.78 0.75
ISRL 0.74 0.76 0.76 0.74 0.74 0.71 0.67
BORA 0.73 0.74 0.75 0.76 0.70 0.88 0.88
NRWY 0.75 0.67 0.70 0.61 0.57 0.56
SCLS 0.26 0.40 0.49 0.44 0.51 0.52 0.53
BHRN 0.36 0.35 0.42 0.52 0.51 0.51 0.51
CPRS 0.67 0.52 0.50 0.46 0.42 0.42 0.43
ICL 0.48 0.45 0.45 0.45 0.34 0.32 0.30
UAE 0.28 0.29 0.31 0.30 0.29 0.28 0. 29 0.28
MLDVS 0.32 0.33 0.26 0.29 0.28 0.28 0.28
SNGPR 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.06 0.07 0.08
GVC-D{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-Trends Nov-2, Dec-28, Jan-31, Feb, Apr, May, Jun, Jul, Aug, Aug-26 in reverse order
PERU 3.30 3.50 3.42 9.25 9.23
MXCO 9.92 8.51 9.23 9.30 8.50 8.03 7.81
SUDN 6.75 7.12 7.52 7.47 7.47 7.51
SYRIA 6.68 6.93 7.10 7.24 7.35 7.36
ECDR 5.26 4.88 4.80 4.66 6.46 6.45 6.43
CHINA 5.38 5.33 5.18 5.12 5.09 5.04 4.91 4.89
AFGN 4.45 4.64
BLIVIA 4.56 3.53 4.20 3.79 3.76 3.77 3.76
TUNIS 3.48 3.67 3.60 3.31 3.43 3.48 3.52
RUSS 1.94 2.28 2.41 2.47 2.58 2.63
GTML 3.41 3.35 3.30 3.05 2.76 2.70 2.58
CLMB 2.59 2.58 2.60 2.50 2.53 2.54 2.54
SRLNK 0.52 0.60 1.55 1.69 1.95
VNZL 0.94 1.07 1.10 1.14 1.18 1.19 1.20
Explaining total recovery from these Death-{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03} by first Five-SPL-Components:
(1) One-With-Nature, OWN, domestic & abroad, virus-free-lands used by shared PLAN-B,
(2) VIRUS-DIFFUSION-DYNAMICS-SCIENCE by GVS-D{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-TRENDS use by 100 Nations,
(3) OWN-ABRAHAMIC SIMPLE LIFE AND DIET, educated, implemented.
(4) Ways to ban Virus-Contrabands from higher-D{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-INFECTED NATIONS.
(5) ONE-YEAR GVC-D{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-TRENDS incorporated to effect 100{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}, final, shared-recovery.
HOLDING ALL COPYRIGHTS, THIS STUDY IS NOT SUPPORTED OR PAID FOR BY ANY
GVC, STATE, PERSON, AGENCY, ETC../
*Plan-B-for-28-WESTERN-AXIS-NATIONS-to-100{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-stop-pandemic-TRENDS.
Nov-2-to-Sep-1-Verifiable-Science/Facts-Replace-WRONG-#-Reporting
CHECK-25-GREATEST-NATURAL-WONDERS-OF-THE-WORLD-VID
Medical-Drs-are-not-scientists.-Top-hospitals-also-require-D.Sc./Ph.D.
https://www.youtube.com/watch? v=3SsKcxlj_w&list=RDCMUCh3Rpsdv1fxefE0ZcKBaNcQ&start_radio=1&rv=3SsK-cxlj_w&t=127.
One-With-Nature, OWN-Vid-Base, guides Safe-Tourism v Ban-Visits v 100{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-Survival.
Vaccines-are-needed-but-do-not-even-rise-to-be-wrong-as-SCIENCE-PER-SE.
"Vaccines/masks/lockdowns-about-cancel-preconditions/crowded-infected-locations-{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}:
AGE-GROUPS-vs-{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-Virus-Induced-Death-Danger-Index of Plan-B
0–34 0.004{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
35–44 0.068{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
45–54 0.23{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
55–64 0.75{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
65–74 2.5{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
75–84 8.5{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
85 + 28.3{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
Plan-B begins by 1-year-Verifiable-Trends in any-nation for anyone's-via-DD-INDEX.
Answer-not-a-fool-according-to-his-folly,-lest-you-be-like-unto-him.-King-Solomon
DD-Index: Nov-2, Dec-28, Jan-31, Feb, Apr, May, Jun, Jul, Aug, Aug-26
GRMNY 1.97 1.84 2.56 2.65 2.49 2.45 2.43 2.42 2.37
GREC 3.70 3.67 3.01 2.91 2.54 2.46 2.36
BLGM 2.53 2.47 2.30 2.22 2.20 2.16
AUSTRL 3.28 3.21 3.16 3.15 3.08 3.00 2.51 2.15 2.10 2.00
CNDA 4.30 3.71 2.57 2.58 2.02 1.86 1.85 1.84 1.82
SPN 2.89 2.66 2.06 2.10 2.23 2.20 2.06 1.79 1.76 1.74
US 2.51 1.74 1.69 1.69 1.78 1.79 1.72 1.71 1.72
FR 2.69 2.45 2.39 2.38 1.87 1.80 1.92 1.78 1.75 1.70
SWS 1.80 1.62 1.55 1.55 1.49 1.43
INDIA 1.11 1.15 1.11 1.32 1.34 1.34 1.34
SWDN 4.78 2.09 2.04 2.06 1.46 1.34 1.32 1.30
NL 2.11 1.44 1.43 1.44 1.16 1.10 0.93 0.95 0.94 0.93
NZ 1.00 1.00 0.94 0.90 0.89 0.81
ARUBA 0.86 0.86 0.93 0.96 0.89 0.87 0.93
FIN 2.20 1.54 1.48 1.06 1.00 1.00 0.88 0.85 0.82
TLND 0.35 0.27 0.68 0.82 0.83 0.92
DNMRK 1.06 0.99 1.00 0.85 0.79 0.78 0.75
ISRL 0.74 0.76 0.76 0.74 0.74 0.71 0.67
BORA 0.73 0.74 0.75 0.76 0.70 0.88 0.88
NRWY 0.75 0.67 0.70 0.61 0.57 0.56 0.54
SCLS 0.26 0.40 0.49 0.44 0.51 0.52 0.53
BHRN 0.36 0.35 0.42 0.52 0.51 0.51 0.51
CPRS 0.67 0.52 0.50 0.46 0.42 0.42 0.43
ICL 0.48 0.45 0.45 0.45 0.34 0.32 0.30
UAE 0.28 0.29 0.31 0.30 0.29 0.28 0. 29 0.28
MLDVS 0.32 0.33 0.26 0.29 0.28 0.28 0.28
SNGPR 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.06 0.07 0.08
APPENDIX:-same-{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}/TIME-to-Detect-Acceleration-or-Deceleration-of-Death-Danger
PERU 3.30 3.50 3.42 9.25 9.23
MXCO 9.92 8.51 9.23 9.30 8.50 8.03 7.81
SUDN 6.75 7.12 7.52 7.47 7.47 7.51
SYRIA 6.68 6.93 7.10 7.24 7.35 7.36
ECDR 5.26 4.88 4.80 4.66 6.46 6.45 6.43
CHINA 5.38 5.33 5.18 5.12 5.09 5.04 4.91 4.89
AFGN 4.45 4.64
BLIVIA 4.56 3.53 4.20 3.79 3.76 3.77 3.76
TUNIS 3.48 3.67 3.60 3.31 3.43 3.48 3.52
RUSS 1.94 2.28 2.41 2.47 2.58 2.63
GTML 3.41 3.35 3.30 3.05 2.76 2.70 2.58
CLMB 2.59 2.58 2.60 2.50 2.53 2.54 2.54
SRLNK 0.52 0.60 1.55 1.69 1.95
VNZL 0.94 1.07 1.10 1.14 1.18 1.19 1.20
I've always wanted to visit Mexico City and I'm going in 2 days to celebrate my birthday
For all the foreigners visiting Mexico I'd like to give you a piece of advice. If you use the subway DO NOT carry your wallet/passport on your pockets. The subway is the easiest/fastest and cheapest way to move around the city and because of that there are lots of pickpokets. So my recommendation is: Have your belongings in a backpack and put it in front of your chest and hold to it when I'm the subway/bus – wearing it at the back is just as bad as having it in your pockets. I'm Mexican, I've traveled all around the world and I lived most of my life in there. And even though it's a wonderful city bad people can be found everywhere so please follow my advice and enjoy my country/city ❤️
No inglish
BREAKING:-All-advanced-virus-recoveries-will-be-based-on-VIRUS FREE REFUGES, (VFR).
Perhaps similar to 1989 book statement, post 1987 first flight of thrust vectored vehicle,*
it may also be valid to the first nation to so save million lives globally. Checking two tables below
may never before play even a minor part in our shared, and unifying, domestic and global dilemma.
How? Divide deaths numbers reported by nations, states, counties, cities, etc. by case number to
extract time-variant ability of that region to deal with viruses. As an example it is reported below on
national level from Feb to Jun, to Jul, to Mid-Aug [RIGHT]. Known as "{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03} FATALITIES",
it is somehow unpopular index vs "Death Numbers per Million". But its consistency reflects reality.
MXCO 3.42 9.40 8.22 9.34 8.51
SUDN 6.75 7.47 7.50 7.47 7.47
SYRIA 6.68 7.24 7.36 7.36 7.36
ECDOR 5.26 4.81 4.66 6.46 6.45
CHINA 5.18 5.17 5.09 5.04 4.91
BLIVIA 4.56 3.88 3.79 3.76 3.77
HNGRY 3.52 3.71 3.71 3.71 3.71
TUNIS 3.48 3.67 3.31 3.43 3.48
RMNIA 2.47 2.82 3.16 3.16
ITLY 3.48 2.99 2.99 2.92 2.90
BRZIL 2.43 2.79 2.79 2.79 2.79
GTML 3.41 3.17 3.05 2.76 2.70
AUSTR 3.15 3.14 2.57 3.19 2.47
RUSS 1.94 2.11 2.41 2.47 2.58
GRC 3.67 2.99 2.91 2.54 2.46
CLMB 2.59 2.60 2.50 2.53 2.54
GRMN 2.65 2.42 2.45 2.43 2.42
BLGM 2.53 2.34 2.30 2.22 2.20
UK 2.83 2.84 2.51 2.15 2.10
CNDA 2.58 1.85 1.86 1.85 1.84
SPN 2.10 2.17 2.06 1.79 1.76
FR 2.38 1.93 1.92 1.78 1.75
PRTGL 1.89 2.00 1.89 1.77 1.70
US 1.69 1.79 1.79 1.72 1.71
SRLNK 0.52 0.80 1.28 1.55 1.69
SWS 1.80 1.55 1.55 1.49
INDIA 1.11 1.21 1.32 1.34 1.34
SWDN 2.06 1.35 1.34 1.32
VNZL 0.94 1.13 1.16 1.18 1.19
NL 1.44 1.07 1.03 0.95 0.94
ESTN 0.97 0.97 0.95 0.94
NZ 0.97 0.94 0.90 0.89
ARUB 0.86 0.97 0.96 0.89 0.87
FIN 1.48 1.03 1.00 0.88 0.85
MLSIA 0.36 0.52 0.74 0.85 0.88
TLND 0.35 0.68 0.81 0.82 0.83
DNMRK 1.06 0.89 0.85 0.79 0.78
CUBA 0.74 0.68 0.64 0.75 0.77
ISRL 0.76 0.76 0.74 0.74 0.71
BORA 0.74 0.75 0.76 0.70 0.66
NRWY 0.75 0.62 0.60 0.57 0.56
BHRN 0.35 0.42 0.52 0.51 0.51
SCLS 0.40 0.36 0.44 0.51 0.52
MNGL 0.10 0.47 0.50 0.49 0.48
CPRS 0.67 0.68 0.46 0.42 0.42
ICL 0.48 0.45 0.45 0.34 0.32
UAE 0.29 0.29 0.29 0.28 0.29
MLDVS 0.33 0.26 0.29 0.28 0.28
TIMOR 0.22 0.26 0.25 0.24
SNGPR 0.05 0.05 0.05 0.06 0.07
_________
Global Age Groups {12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-Virus-induced Deaths-Risk
0–34 0.004{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
35–44 0.068{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
45–54 0.23{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
55–64 0.75{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
65–74 2.5{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
75–84 8.5{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
85 + 28.3{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}
Source: Wikipedia, Covid-19, Levin et al report, which has changed since published.
However, the reported big differences remain time invariant.
Verified local and individual updates, like induced preconditions,
ethnicity, vaccines, masks, lockdowns, travel, family, culture should be accounted for in
each nation and locality, remain valid, even when VFR are implemented, or not.
__________
* 1989 "Vectored Propulsion, Supermaneuverability and Robot Aircraft", Page 11. ..
My new home…love that I will live in the district San Angel, where Frida and Diego lived. <3
chi reject reject
This horrible nonstop droning bass under the entire soundtrack makes this so uncomfortable to listen to with proper headphones.
WOW! Came on here for inspiration for my next video & you make my videos look like child's play! 😂 I can't wait for my videos to look & feel like yours. This is so beautiful 😻 🦄 🧚🏼♀️ ❤️ 🇲🇽 🌏 🤍
Hit "Like" if you don't believe in borders
Britt and Angie s next vacation …
🇲🇽 💩
Nice
I love Mexico
Por que estoy viendo esto? Yo vivo aquí.
I love Mexico and it’s people so much 🙏🏻
My dream was to go to Mexico to visit my tia and my abuelo and my pets that they have
I love Mexico 🇲🇽❤from iran 🇮🇷
I’m Filipino living in the United States 🇺🇸. But love ❤️ Mexico 🇲🇽 very much. Mwah 😘. Someday I will retire at Mexico 🇲🇽
this is amazing!
I need help in Hillsborough county im the last of the last
Where are the pictures of downtown and the high rises. You missed alot
Where is the food ???
Sahir wie gähs
Laatzen ghetto
Ghafur öl
Steven der neue
Was geht Sahir
Looks like a beautiful city, I'd love to visit.
spanish class
Expedia makes the best videos!!!
My Home!
I used to visit Mexico City with my mom and sisters when I was a little boy by the 70s… we used to take "The Mexicano" train from Veracruz Port to CDMX, it took 12 hours to make it, the way of that railroad to the Aztec capital has some of the most pristine landscapes in all Mexico. Unforgettable.
whats the background music?
Wey primero aprende a hablar español latino y después puedes subir un video sobre Mexico
Mexico is amazing! I love telling people about the food and awesome experiences like seeing a hipster girl with a pet chicken when I rode the bus. Mexico is where I fell in love with Oaxaca cheese. Have nothing but great things to say about the fun I’ve had there.
❤️❤️❤️❤️❤️❤️Mexico from Bali🙏