Tahiti Vacation Travel Guide | Expedia



Tahiti – from mountains to jungles to reefs, this island paradise beckons lovers of nature, history and culture alike to come explore. Check out all the places we …

24 thoughts on “Tahiti Vacation Travel Guide | Expedia

  1. Benjamin Gal-Or says:

    Our 30-86 M results on Google save not victim life, UNLESS USED by a virus czar
    Why any Czar in 80-listed-nations, INDUCES-virus-DEATHS-by-Rejecting-10-Survival-Acts?
    #-1: One-With-Nature,-OWN-Video-is-Proof-of-Pre-GUIDE-to-100{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-Recovery
    Doubtfully-even-1-Czar-reads-this-1-Year-Verifiable-Science/Facts-that-voids-his-acts.

    #-2:-Plan-B-for-29-WESTERN-AXIS-NATIONS-to-100{12475aba99fbbdf56eb8cf142f8fea6ec42c6e82e2efd03308c3f41cc5142c03}-stop-these-pandemic-TRENDS
    check-25-GREATEST-NATURAL-WONDERS-OF-THE-WORLD-VID:"
    Medical-Drs.-are-not-scientists.-Top-hospitals-also-require-D.Sc./Ph.D.*
    #-3:-Vaccines-needed-but-do-not-even-rise-to-be-wrong-in-SCIENCE-PER-SE
    *#-4:-Vaccines/masks/lockdowns-about-Cancel-preconditions/crowded-infected-locations:
    #-5:-The most important Diffusion-Virus-Science-Rejected:

    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}
    #-6:-This-is-1-Year-Verifiable-Trends-in-80-nations-Ruling-Anyone-life-under-DD-INDEX
    Answer-not-a-fool-according-to-his-folly,-lest-you-be-like-unto-him.-King-Solomon

    LER=Life Expectancy-National-Ranking
    [LER], TREND: Nov-2, Dec-28, Jan-31, Feb, Apr, May, Jun, Jul, Aug, Aug-26
    [26] GRMNY 1.97 1.84 2.56 2.65 2.49 2.45 2.43 2.42 2.37
    [15] GREC 3.70 3.67 3.01 2.91 2.54 2.46 2.36
    [23] BLGM 2.53 2.47 2.30 2.22 2.20 2.16
    [25] UK 4.51 3.09 2.77 2.83 2.89 2.90 2.51 2.15 2.10 2.00
    [7] ASTRL 3.28 3.21 3.16 3.15 3.08 3.00 3.02 3.19 2.47 1.99
    [14] CNDA 4.30 3.71 2.57 2.58 2.02 1.86 1.85 1.84 1.82
    [6] SPN 2.89 2.66 2.06 2.10 2.23 2.20 2.06 1.79 1.76 1.74
    [35] US 2.51 1.74 1.69 1.69 1.78 1.79 1.72 1.71 1.65
    [12] FR 2.69 2.45 2.39 2.38 1.87 1.80 1.92 1.78 1.75 1.70
    [3] SWS 1.80 1.62 1.55 1.55 1.49 1.43
    [128] INDIA 1.11 1.15 1.11 1.32 1.34 1.34 1.34
    [11] SWDN 4.78 2.09 2.04 2.06 1.46 1.34 1.32 1.30
    [15] NL 2.11 1.44 1.43 1.44 1.16 1.10 0.93 0.95 0.94 0.93
    [15] NZ 1.00 1.00 0.94 0.90 0.89 0.81
    [73] ARUBA 0.86 0.86 0.93 0.96 0.89 0.87 0.93
    [22] FINL 2.20 1.54 1.48 1.06 1.00 1.00 0.88 0.85 0.82
    [49] TLND 0.35 0.27 0.68 0.82 0.83 0.92
    [29] DNMRK 1.06 0.99 1.00 0.85 0.79 0.78 0.75
    [9] ISRL 0.74 0.76 0.76 0.74 0.74 0.71 0.67
    [55] BORA 0.73 0.74 0.75 0.76 0.70 0.88 0.88
    [14] NRWY 0.75 0.67 0.70 0.61 0.57 0.56 0.54
    [94] SYCL 0.26 0.40 0.49 0.44 0.51 0.52 0.53
    [47] BHRN 0.36 0.35 0.42 0.52 0.51 0.51 0.51
    [28] CYPR 0.67 0.52 0.50 0.46 0.42 0.42 0.44
    [11] ICL 0.48 0.45 0.45 0.45 0.34 0.32 0.30
    [41] UAE 0.28 0.29 0.31 0.30 0.29 0.28 0.29 0.28
    [33] MLDV 0.32 0.33 0.26 0.29 0.28 0.28 0.28
    [93] CYMN 0.31 0.31 0.30
    [4] SNGP 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.06 0.07 0.08

    [LER], TREND, Nov-2, Dec-28, Jan-31, Feb, Apr, May, Jun, Jul, Aug, Aug-26
    [62] PERU 3.30 3.50 3.42 9.34 9.23
    [75] MXCO 9.92 8.51 9.23 9.30 9.31 9.30 8.50 8.03 7.81
    [146] SUDN 6.75 7.12 7.52 7.47 7.47 7.51
    [109] SYRIA 6.68 6.93 7.10 7.24 7.35 7.36
    [51] ECDR 5.26 4.88 4.80 4.66 6.46 6.45 6.43
    [34] TWN 1.02 5.18 5.22
    [54] CHINA 5.38 5.33 5.18 5.12 5.09 5.04 4.91 4.89
    [157] AFGAN 4.45 4.64
    [108] BLIVIA 4.56 3.53 4.20 3.79 3.76 3.77 3.76
    [58] TUNIS 3.48 3.67 3.60 3.31 3.43 3.48 3.52
    [124] INDNS 3.04 3.22
    [103] RUSS 1.94 2.28 2.41 2.47 2.58 2.63
    [40] PLND 2.50 2.61
    [86] GTML 3.41 3.35 3.30 3.05 2.76 2.70 2.58
    [75] CLMB 2.59 2.58 2.60 2.50 2.53 2.54 2.54
    [51] SRLNK 0.52 0.60 1.55 1.69 1.95
    [121] VNZL 0.94 1.07 1.10 1.14 1.18 1.19 1.20

    PROOF-of-Non-Science-#-of-Deaths-in-80-NATIONS-[To-Jul-24-From-(Apr-28)]
    [51] SLNK 1.32 (0.49) 647 [19] MRTNQ 0.63 (0.70) 68
    [14] NRW 0.59 (0.75) 736 [45] SnMRT 1.26 (0.97) 12
    [100] USBK 0.67 (0.79) 646 [55] BORA-0.75 (0.73) 141
    [9] ISR 0.75 (0.74) 6,354 [43] CURC 0.99 (0.44) 105
    [65] SRB 0.99 (0.89) 6,286 [108] CBVRD 0.89 (0.95) 208
    [45] ESTN 0.70 (0.92) 1,148 [21] ANDORA 0.88 (1.01) 124
    [150] PAP 1.09 (1.06) 105 [22] FIN 0.95(1.55) 902
    [43] OMN 1.21 (1.08) 1942 [121] VNZL 1.16 (0.94) 2,065
    [34] TWN 5.05 (0.78) 12 [15] NL 0.97 (1.43) 17,093
    [34] BRB 1.11 (1.10) 44 [84] JRD 1.30 (1.10) 8,707
    [72] VTNM 0.43 (2.26) 35 [2] MNCO 1.20 (1.28) 32
    [13] MLT 1.27 (1.35) 413 [73] ARUB 0.96 (0.91) 98
    [128] INDI 1.34 (1.37) 199,388 [11] SWD 1.33 (2.04) 13,968
    [3] SWS 1.53 (1.80) 10,587 [24] ASTR 1.64 (1.76) 10,126
    [118] PHL 1.67 (2.11) 16,916 [76] SARB 1.67 (1.72) 6,922
    [160] KNY 1.96 (1.74) 2,643 [2] JPN 1.75 (1.93) 10,004
    [57] MRC 1.67 (1.74) 8,999 [35] U.S. 1.78 (1.69) 586,650
    [1] HK 1.77 (1.78) 209 [49] ALBN 1.82 (1.71) 2,379
    [12] FR 1.87 (2.40) 103,256 [14] CND 1.86 (2.51) 24,065
    [20] PRT 1.82 (1.70) 16,970 [108] UKR 2.35 (1.83) 42,950
    [6] SP 1.90 (2.07) 77,738 [103] RUS 2.51 (2.11) 108,980
    [23] BLG 2.27 (3.03) 24,065 [25] GRM 2.45 (2.59) 82,551
    [48] CLMB 2.51 (2.59) 71,799 [66] BRZL 2.79 (2.44) 392,204
    [25] UK 2.29 (2.83) 127,451 [15] GRC 2.72 (3.60) 10,179
    [5] ITL 2.97 (3.47) 119,912 [98] ELSV 3.00 (3.08) 2,093
    [7] AU 2.51 (3.19) 910 [86] GTML 2.91 (3.54) 7,428
    [58] PRU 9.31 (3.42) 60,013 [59] TUNS 3.23 (3.48) 10,170
    [153] SAF 2.92 (3.39) 54,186 [54] HUNG 3.71 (3.40) 26,984
    [80] BLGR 4.30 (?) 16,101 [117] BLV 3.77 (4.56) 12,861
    [51] EQD 6.41 (5.26) 18,300 [54] CN 5.01 (5.18)
    [109] SYR 7.37 (6.68) 1,548 [146] SDN 7.47 (6.75) 2,340
    [75] MXC 8.77 (8.51) 215,113 [144] YMN 19.40 (29.0) 1,120//

  2. Benjamin Gal-Or says:

    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 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 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 9.25 9.23
    MXCO 9.92 8.51 9.23 9.30 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
    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
    ________________________________________________________________________________

  3. Benjamin Gal-Or says:

    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. .

  4. Hans Dunkelberg says:

    You still get a lively sense of the tropics and of how they must have appeared to Europeans in the 19th century, here. The artifacts shown at 5:22 resemble those of Mexico quite much. The ridge of the mountain shown at 11:22 and 11:38 must have been bitten out by that semi-god of thieves with his greed for such structures (10:51).

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