๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti

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๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti

๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti

@Hopozitzia

ื•ื›ืœ ืืœื• ื”ื“ื‘ืจื™ื ื•ื›ื™ื•ืฆื ื‘ื”ืŸ ืœื ื™ื“ืข ืื“ื ืื™ืš ื™ื”ื™ื• ืขื“ ืฉื™ื”ื™ื• No quarter for reality deniers

Jerusalem, Israel Katฤฑlฤฑm Aralฤฑk 2019
584 Takip Edilen1.9K Takipรงiler
SabitlenmiลŸ Tweet
๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti
ื•ึฐืึธืจื•ึผืจ ื”ึธืื•ึนืžึตืจ: ื ึฐืงึนื! ื ึฐืงึธืžึธื” ื›ึธื–ึนืืช, ื ึดืงึฐืžึทืช ื“ึทึผื ื™ึถืœึถื“ ืงึธื˜ึธืŸ ืขื•ึนื“ ืœึนืึพื‘ึธืจึธื ื”ึทืฉึธึผื‚ื˜ึธืŸ โ€“ ื•ึฐื™ึดืงึนึผื‘ ื”ึทื“ึธึผื ืึถืชึพื”ึทืชึฐึผื”ื•ึนื! ื™ึดืงึนึผื‘ ื”ึทื“ึธึผื ืขึทื“ ืชึฐึผื”ึนืžื•ึนืช ืžึทื—ึฒืฉึทืื›ึดึผื™ื, ื•ึฐืึธื›ึทืœ ื‘ึทึผื—ึนืฉึถืืšึฐ ื•ึฐื—ึธืชึทืจ ืฉึธืื ื›ึธึผืœึพืžื•ึนืกึฐื“ื•ึนืช ื”ึธืึธืจึถืฅ ื”ึทื ึฐึผืžึทืงึดึผื™ื.
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๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti
ื—ื–ืจืชื™ ืœืฆื™ื•ืฅ ืื—ื“ ื‘ืœื‘ื“ ืืจื”"ื‘ ืชืชืงื•ืฃ ื‘ืื™ืจืŸ ื‘ืจื’ืข ืฉืื™ืจืŸ ืชื’ืžื•ืจ ืืช ืžืœืื™ ื”ื˜ืง"ืง ืขืœ ื™ืฉืจืืœ ื•ืœื ืชื”ื™ื” ืœื” ื™ื›ื•ืœืช ืชื’ื•ื‘ื” ืžืฉืžืขื•ืชื™ืช ื ื’ื“ ื”ืื™ื ื˜ืจืกื™ื ืฉืœ ืืจื”"ื‘ ื‘ืื–ื•ืจ - ื•ืœื ืจื’ืข ืœืคื ื™ (ืืœื ืื ื›ืŸ ืื™ืจืŸ ืชืงื“ื™ื ื•ืชืชืงื•ืฃ ืื™ื ื˜ืจืกื™ื ืฉืœ ืืจื”"ื‘)
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uria shoshani
uria shoshani@uria_shoshaniยท
@Hopozitzia ื–ื” ืขืœื™? ืœื ื™ื“ืขืชื™ ืฉืื ื™ ื ืขืœื ื•ื—ื•ื–ืจ ื›ืœ ื”ื–ืžืŸ. ื•ืฉื™ื”ื™ื” ื”ืžื•ืŸ ื‘ื”ืฆืœื—ื”!
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๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti
ื˜ื•ื‘, ื”ื—ืœื˜ืชื™ ืœืกื’ื•ืจ ืืช ื”ื—ืฉื‘ื•ืŸ ื”ื–ื” ื‘ื˜ื•ื™ื˜ืจ ืœืงืจืืช ื”ืขื–ื™ื‘ื” ื”ื—ืœื˜ืชื™ ืœื ืกื•ืช ืกื‘ื‘ ืฉืืœื•ืช ื•ืชืฉื•ื‘ื•ืช. ืืขื ื” ื‘ื›ื ื•ืช ืขืœ ื›ืœ ืฉืืœื”, ื›ืœ ื–ืžืŸ ืฉื”ืชืฉื•ื‘ื” ืœื ืžื›ื™ืœื” ืคืจื˜ื™ื ืžื–ื”ื™ื ื›ืœ ืžื” ืฉืจืฆื™ืชื ืœืฉืื•ืœ ื•ืœื ื”ืขื–ืชื: ngl.link/hopozitzia
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parker
parker@cootallx2ยท
@Hopozitzia ืื™ืŸ ืœื™ ืฆื•ืจืš ืœืฉืื•ืœ ื‘ืื ื•ื ื™ืžื™ื•ืช. ืื—ืจื™ 4 ืฉื ื™ื ืฉืœ ื”ื™ื›ืจื•ืช ื—ื‘ืจื™ืช ื‘ื˜ื•ื•ื™ื˜ืจ ื”ื•ืจื“ืช ืžืžื ื™ ืขื•ืงื‘. ืื– ื”ืฉืืœื•ืช: 1. ืœืžื”? 2.ื™ืฆืืช ืืคืก.
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Catlover
Catlover@Catlove40476297ยท
@Hopozitzia ืคืืงื™ื ื’ 3. ื‘ื™ื‘ื™ ืœื ืชื™ืื ืžืกืคื™ืง ืขื ื”ืืžืจื™ืงืื™ื ื•ืื ื• ื‘ืื ื• ืœื›ืืŸ
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๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti
ืื™ืŸ ืœื™ ืžื•ืฉื’. ื›ื ืจืื” ื”ื™ื™ืชื™ ืงื•ืจืก ืžื›ื•ื‘ื“ ื”ืื—ืจื™ื•ืช ืžื” ื”ื™ื™ืชื™ ืžืžืœื™ืฅ ืขื›ืฉื™ื•, ืœืื—ืจ ืžืขืฉื”? 1. ืงื•ื“ื ื›ืœ, ืœื ืงื•ืช ื›ืžื” ืฉื™ื•ืชืจ ืžื”ืจ ืืช ื”ืขื•ื˜ืฃ (ื›ืžื• ืฉื‘ืืžืช ืขืฉื•) 2. ืžืงื™ื ืžืžืžืฉืœืช ืื—ื“ื•ืช ืจื—ื‘ื” ื‘ื™ื•ืชืจ 3. ืžื’ื™ืข ืœื”ืกื›ืžื” ืขื ื”ืืžืจื™ืงืื™ื ืœื’ื‘ื™ ื™ืขื“ื™ ื”ืžืœื—ืžื”, ื›ื•ืœืœ ื“ืจื™ืฉื” ืฉื”ืืžืจื™ืงืื™ื ื™ืงื—ื• ืื—ืจื™ื•ืช ืขืœ ื”ืฆื“ ื”ืื–ืจื—ื™ ื‘ืขื–ื”
๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti tweet media
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๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti
ื™ืฉ ืœื™ ื—ืฉื‘ื•ืŸ ืœื ืื ื•ื ื™ืžื™, ืฉืžืชื ื”ืœ ื‘ืื ื’ืœื™ืช, ื‘ืชื—ื•ื ื”ืžืงืฆื•ืขื™ ื‘ื• ืื ื™ ืขื•ื‘ื“. ื—ื•ืฅ ืžืงืฆืช ื”ืกื‘ืจื” ื‘ืชื—ื™ืœืช ื”ืžืœื—ืžื” ื›ืžืขื˜ ืœื ืฆื™ื™ืฆืชื™ ืžืžื ื• ื‘ืžื”ืœืš ื”ืฉื ื™ื ื”ืื—ืจื•ื ื•ืช
๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti tweet media
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๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti
@mosheuffnik ืชื•ื“ื”. ื”ืืžืช, ื’ื ื”ืงื•ืœ ืฉืœืš ื™ื—ืกืจ ืœื™. ื›ืžื•ื™ื•ืช ื”ืžื•ืฅ ืคื” ื›ืœ ื›ืš ื’ื“ื•ืœื•ืช ืฉื”ื—ืœื˜ืชื™ ืœื•ื•ืชืจ ื’ื ืขืœ ืžืขื˜ ื”ืชื‘ืŸ
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๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti
@AGB_DBG ืื ื™ ื›ื•ืชื‘ ื›ื“ื™ ืฉื™ืงืจืื•. ืขื“ ืืžืฆืข ืื•ืงื˜ื•ื‘ืจ ื”ื™ื• ืœื™ ืžืžื•ืฆืขื™ื ืฉืœ ื›ืžื” ืืœืคื™ ื—ืฉื™ืคื•ืช ืœืฆื™ื•ืฅ. ืžืื– ื–ื” ื ื—ืชืš ื‘90% ืœื›ืžื” ืžืื•ืช ื—ืฉื™ืคื•ืช ืœืฆื™ื•ืฅ, ื›ืฉืื—ื•ื– ืœื ืงื˜ืŸ ืžื”ื—ืฉื™ืคื•ืช ื”ืืœื” ื–ื” ื‘ื•ื˜ื™ื...
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ื0ืฃ ื‘5ื‘ื™ืŸ
@Hopozitzia ืื ื–ื” ื™ื•ืขื™ืœ ืœืขืฆื‘ื™ื ืฉืœืš, ื‘ืืžืช ืœื ื›ื“ืื™ ืœื”ื™ื•ืช ืคื”. ืœื’ื‘ื™ ื—ืฉื™ืคื” - ื™ืฉ ืžื™ ืฉืžื•ืขื™ืœ ืœื• ืœืฆื™ื™ืฅ ื‘ืขื™ืงืจ ื›ืฉืืฃ ืื—ื“ ืœื ืงื•ืจื. ื›ื ืจืื” ืœื ืืชื”
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ืžืจ ื•ื™ืŸ
ืžืจ ื•ื™ืŸ@Od_od_ehadยท
@Hopozitzia ื—ื‘ืœ (ืœื ื•, ืื•ืœื™ ืขื‘ื•ืจืš ื–ื” ื˜ื•ื‘). ืžื•ืชืจ ืœืฉืื•ืœ ืœืžื”?
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๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti
@keneged_4_banim ืงื•ื“ื ื›ืœ ืชื•ื“ื” ื›ื›ืœืœ ืื ื™ ืœื ื›ื•ืชื‘ ื‘ืฉื•ื ืคื•ืจื•ื ืฆื™ื‘ื•ืจื™. ืžืื– ื”ืฉื‘ื™ืขื™ ื‘ืื•ืงื˜ื•ื‘ืจ ืื ื™ ื›ื•ืชื‘ ืงืฆืช ื‘LinkedIn (ืชื—ืช ืฉืžื™ ื”ืืžื™ืชื™), ื‘ืขื™ืงืจ ื”ืกื‘ืจื”, ืื‘ืœ ื›ืžืขื˜ ื›ืœ ืžื” ืฉืคื™ืจืกืžืชื™ ื–ื” ื‘ื—ืฉื‘ื•ืŸ ื”ื–ื” ื‘ื˜ื•ื•ื™ื˜ืจ
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ืจื•ื™ื˜ืœ
ืจื•ื™ื˜ืœ@keneged_4_banimยท
@Hopozitzia ืžืฆืขืจ ืื•ืชื™ ืฉืืชื” ืขื•ื–ื‘... ื”ืฉืืœื” ื”ื™ื—ื™ื“ื” ืฉืœื™ ื”ื™ื ืื™ืคื” ืขื•ื“ ืืคืฉืจ ืœืงืจื•ื ืื•ืชืš ืื ืœื ืคื” ืื‘ืœ ืžื ื™ื—ื” ืฉื–ื” ื ื›ื ืก ืœืงื˜ื’ื•ืจื™ื™ืช ืคืจื˜ื™ื ืžื–ื”ื™ื:)
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๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti retweetledi
Mark Zlochin - ืžืืจืง ื–ืœื•ืฆ'ื™ืŸเผ
All of us have seen those dramatic headlines, claiming unprecedented levels of destruction in Gaza, allegedly even surpassing the destruction of German cities, such as Dresden or Hamburg, during WWII. Previously I have already addressed the fact that the โ€œjournalistsโ€ that published those claims were grossly misleading their readers by making an apples-to-oranges comparison between the estimated number of damaged buildings in Gaza and the number of destroyed buildings in German cities. x.com/MarkZlochin/stโ€ฆ But recently I have discovered another shocking fact about those damage estimates that have been quoted by countless news outlets, such as Bloomerg, WSJ, BBC, Washington Post and many others. Turns out that the โ€œexpertsโ€ that produced those estimates - Jamon Van Den Hoek, Associate Professor from Oregon State University, and Corey Scher, a PhD candidate at the CUNY Graduate Center - used an experimental algorithm, whose accuracy in detecting (and counting) individual damaged buildings was never evaluated. Moreover, their algorithm could potentially label every building within 100m radius from actual damage as โ€œlikely damagedโ€. My initial doubts about those estimates arose back in December, when I found out that the United Nations Satellite Centre (UNOSAT) had published their own damage estimate that was about half of the one produced by our โ€œexpertsโ€. UNOSATโ€™s estimate, based on satellite imagery from Nov 26, was about 37k, while Van Den Hoek&Scher estimated it to be in the 67.7k-88.1k range. unosat.org/products/3769 x.com/jamonvdh/statuโ€ฆ When I asked them about the reason for such a huge difference between their estimates and the official UN agency numbers, none of them responded to my question. Few days ago I tried to reach them once again and asked the same question about the last UNOSAT estimate - 69k damaged buildings - which, once again, was half of what the โ€œexpertsโ€ claimed (138k-172k range) around the same time when UNOSAT images were taken. unosat.org/products/3793 x.com/jamonvdh/statuโ€ฆ This time I did receive a response and the picture began to clarify. It turned out that unlike UNOSAT who base their counts on high-resolution satellite optic imagery, Van Den Hoek & Scher rely on publicly available satellite radar data based on inSAR technology. And this brings us to a first major limitation of their method - the โ€œimagesโ€ their analysis is based on have a much lower resolution - 40m - unlike the 0.3m resolution of the optical images used by UNOSAT. This means that if their algorithm detects some damage within a 40x40m โ€œpixelโ€, all the buildings within the same โ€œpixelโ€ are labeled as โ€œlikely damagedโ€. Moreover, because the calculations employed in inSAR typically use a 5x5 window, this means that the โ€œcolorโ€ of a pixel is affected by the changes in the 200x200m windows around it. In other words, any building within a 100m radius around actual damage can be potentially also labeled as โ€œlikely damagedโ€. I have contacted them once again to make sure that my understanding of their method is correct, and asked them whether they found a way to circumvent these limitations and to make sure that the algorithm doesnโ€™t generate a massive quantity of โ€œfalse positivesโ€ (i.e., intact buildings that are mistakenly tagged as โ€œdamagedโ€). x.com/MarkZlochin/stโ€ฆ x.com/MarkZlochin/stโ€ฆ The response I got from Van Den Hoek was nothing short of amazing. It turned out that they never bothered to evaluate the accuracy of the algorithm. The only verification they did was to check that it doesnโ€™t generate any spurious signals in a completely โ€œcleanโ€ environment, with zero damage. Thatโ€™s all. This is the basis on which the dramatic comparisons to carpet bombings in WWII Germany were based on - an experimental algorithm whose accuracy has never been tested, consistently giving damage estimates that were at least twice as large as the official UN Satelite Center numbers. Official numbers that Van Den Hoek & Scher, as well as some of the โ€œjournalistsโ€ who used their estimates, were aware of, but still continued as if itโ€™s nothing. Bad science meeting poor journalism. A deadly combination.
Mark Zlochin - ืžืืจืง ื–ืœื•ืฆ'ื™ืŸเผ tweet media
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๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti
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๐ค‹๐ค€ ๐ค„๐ค๐ค๐ค•๐ค‰ Lo hevanti tweet media
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