人渣---李亚玲：关于丰县八孩母事件，我为什么不道歉？
关于丰县八孩母事件，我为什么不道歉？李亚玲1975
编剧作家，前调查记者
我为什么不道歉？
因为直到如今也没有谁能拿出真正的证据证明我错了，而你们才是对的。
我为什么能忍受你们纠缠至今的轮番辱骂？
因为我问心无愧。
我一开始公布的，我调查到的核心事实：
八个孩子的妈妈就是小花梅；
小花梅是在父母知情的情况下，被桑某带去江苏的；
桑某先将小花梅卖给了连云港的另一个男子；董某声称人是“捡”来的；
董某在小花梅发病的时候才用铁链束缚她；
除了涉嫌非法拘禁，警方在当时还没有查出董某其他的犯罪事实；
（哪怕十多天后，罪名变更，董某从涉嫌非法拘禁，变更为涉嫌虐待罪被刑拘，主要是因为他在小花梅发病的时候用铁链束缚她、以及没有积极给小花梅治病。
并没有找到他用钢钳拔掉小花梅的牙齿，和其他家庭成员轮奸她的法律证据。）
以上这些都得到了证实。
只是随着十多天过去，警方进一步侦查到了小花梅从连云港走失之后，又被人拐卖。董某的父亲也涉嫌拐卖。
这种20多年的旧案了，随着侦查的深入掌握了更多的证据，证明了更多的犯罪事实，难道不是正常的？
这与我最早调查到的情节并不冲突，并不能证明我撒谎，更不能证明我没有良知、编造假故事替政府洗地、替董某开脱。
所谓的四版通告自相矛盾、每一版都打了前一版的脸，这种说法我不认同。
第一次通告确实有问题。但后面几次通告也都是一个随着调查的进展，而不停补充完善的过程。
这是我的理性认知，为什么只允许你们质疑政府的通告，而不能允许我相信政府的通告呢？
你们在行使自由权利的时候，为什么要干涉我的自由呢？
另一个我披露的事实：董某父子为了在抖音挣流量，策划了把自己家的事情放上网，并且各种摆拍。
这个内容，省级调查报告中没有涉及，但网上各种博主扒出的各种证据，都证明了这一事实的存在。
至于大家质问我的另三个焦点：
一：我凭什么说小花梅的妈妈，在得知桑某要把女儿带去江苏嫁给有钱人的时候，求之不得？
我到现在仍然持这个观点。
一是出于我对90年代极端贫困山区的极度贫困家庭心态的了解：一个再婚的极端贫穷的妇女，不可能长期收留离过婚的有精神病的女儿。有人愿意给她女儿去找一个好婆家嫁了，对她来说就是求之不得之事。
甚至在得知女儿失终之后，她既没有报案，也始终没有去寻找女儿，在收到女儿的来信之后也没有回信，作为精神病女儿的监护人，她已经涉嫌遗弃。
不要在这个时候跟我扯她妈妈只是一个不认识字的、不会说汉语的女人，所以才无法去找她女儿……
如果在我讲法律的时候，你们要讲逻辑；在我讲逻辑的时候，你们要讲人情，这样的辩论就毫无意义。
二、我披露的情节中有一个细节：视频中，小花梅脖子上的锁链，是抖音博主发现铁链后捡起来套上去的。
这个省级调查报告中没有涉及，但我仍然坚信我采访到的这个细节是存在的。
调查报告中至少证实了董某是在小花梅发病（伴随暴力）的时候，才用铁链束缚他。
目前，董某因为涉嫌虐待罪被刑拘，主要是因为他的这个行为以及没有积极给小花梅治病。
而视频博主拍视频的时候，小花梅并没有发病。
我的采访对象调查到的事实就是：当时董某并没有给小花桶装套铁链，而是那个抖音博主捡起铁链套在了小花梅身上。
我采信了这个信息，并且直到现在依然相信。
至于我补充发布的第二篇文章，提到了小花梅有时在意识到自己要发病的时候，为了防止伤害孩子，会自己主动带带上铁链这个细节，也是我采访到的。
我在文章中特地声明了，这是我总结的采访到的信息，非我自己的观点。
那么这些细节究竟是不是真的？
后续随着专案组侦查的深入，和公众对此事的持续关注，应该会有更多证据披露，我们不妨让子弹再飞一会儿。
三，在处理董某时，为什么要提到考虑八个孩子，我是不是试图给董某脱罪？
我和董某非亲非故，我帮他脱罪有什么好处？
你可以质疑我的报道，但把作者想得如此毫无良知，只能说明你自己内心阴暗，或者说是缺乏理性，容不得不同的声音。
而且我在文章中写得很清楚：这是当地政府在考虑处理董某这一事件时的一个心态，是他们觉得为难的一个因素。
而事实上，直到现在，这仍然是摆在当地政府面前的一个实际的难点。
如何安排好这八个孩子，这确实是这个案子中的一个不容回避的衍生问题，甚至是本案最重要的善后问题。
至于其它如何挽救更多被拐妇女、如何处理历史遗留问题，那是另一个层面的话题。
罗素说过：若理性不存在，则善良无意义。
纸包不住火。
所有的是非都将得到进一步验证。
未来法院的审判，更多细节的披露，以及随着当事人治疗阶段性的接触之后，终将回归社会。
到那时，坚信她是李莹的、坚信她就算不是李莹也不可能是小花梅的，你们都有大把的机会重新去验DNA，或者去找出其他证据，来证明你们才是对的。
毕竟小花梅是个大活人啊！李莹妈妈也还活着呀！她们有那么多亲人在世，也有那么详实的生存轨迹。
迷雾散尽，才能看清事情的本相。
你们骂我，其实最主要的是发泄对信息不透明的愤怒。
这一点，我和你们同样愤怒。
所以我选择了在信息极端匮乏的时候，把自己知道的公布出来，告知公众。
我没有错。
网友评论：真给记者这个职业抹黑，不去调查真相就罢了，还在给土匪挡枪，李亚玲早日下地狱。
data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABAUAAAF4CAYAAAAsfUDMAAAgAElEQVR4nO3dzXLbRrrw8YeiSFGy5ZR8FDFOOVJl5cUsZjc3Mfcxsz2LXMYsZnvmPuYmZncWs3C9VaOy4rIjimWWLYkSSX28ixy4kE5/PN1oEKDw/1WlYoH9RQAEup9ugr3FYvooAAAAAACgc7aabgAAAAAAAGgGQQEAAAAAADqKoAAAAAAAAB1FUAAAAAAAgI4iKAAAAAAAQEcRFAAAAAAAoKMICgAAAAAA0FEEBQAAAAAA6CiCAgAAAAAAdBRBAQAAAAAAOoqgAAAAAAAAHUVQAAAAAACAjiIoAAAAAABARxEUAAAAAACgowgKAAAAAADQUQQFAAAAAADoKIICAAAAAAB0FEEBAAAAAAA6qrGgwM7OYeW8oTLKr1epr012dg4bfS+x9bvSPpXjAQAAAACbbLuOQs0B32Ix/V2axWIqOzuH1tdcA0Yzra+MUH22OsxytAPXcr4qg93Q+zCDHNp9V7z3ddRvpne1UXPMAAAAAAD1qiUoICK/G3xrZ4wXi+lv8oYGj67AgG1bOa02ABAzUA6lL9KmDIjNvMWMve09Fq+7XrO9rl11EarfLKv871B9BAoAAAAAYL1qCwqY6hzwacp2BQM0+XJKDQi4AhzrmHVPqd8VdIldHQIAAAAAqM/aggIF2wy1ZnZdJLy8v47BcexKgarpbHlcbYgNDJhtiF0dULV+AAAAAEC71BYUsA04i8GjZrm/7W/td9pzzjrnKKv8vmPr1H59QvtVC7NNtjrrqt93/AEAAAAA67e2ZwqYUr5fH/OsgVyqrhRwBUdcZdu+u69to2slQMy+ylm/K12RlsAAAAAAADRr7V8fENE/Dd9nHd9B1/6qgYtrUO6bXQ/9rW2LazWG7+9c9Yd+tjDH8QcAAAAAVNdIUCDEttze9rc2b2zdVZiz5r7v42vS5VTl1weq1GUrn68RAAAAAEDz1vpMgViuQIBtlj311wVsdZbFPhixSGMry1Wf+X6q7LtQEEKTr476AQAAAADt08gzBcwBcOwS+nKwoM6Z9tDzEEzldqUu+3flrfo+fc82MOuto34bAggAAAAA0KzGf5Kwalki638Aoa+OuoIToRUMrnxFm1LyV60fAAAAANBuaw8KxDzITvOwvLoGpuVnEzQ5AA79dKBv/+Roc2z9tnQAAAAAgHbKHhRI+Yk+VzrbYNTcVvXBgqE22r4GEXqyfu52+AIh5n7yLf3XbLft85j6Xe0I7T9WHQAAAADA+vUWi+ljzgJdvxygzWf+W5PPVk/oAYGugW6dqwKqLtnPkVar6foBAAAAAPXLHhQAAAAAAACbYavpBgAAAAAAgGYQFAAAAAAAoKMICgAAAAAA0FEEBQAAAAAA6CiCAgAAAAAAdBRBAQAAAAAAOoqgAAAAAAAAHUVQAAAAAACAjiIoAAAAAABARxEUAAAAAACgowgKAAAAAADQUQQFAAAAAADoKIICAAAAAAB0FEEBAAAAAAA6iqAAAAAAAAAdRVAAAAAAAICOIigAAAAAAEBHERQAAAAAAKCjCAqgdjs7h6ptufIBAAAAAHTWFhTIMZiLLaOcPrV+Vz5feTs7h7/5z7XdlqbtmmxrlbpzH/8m5HwPdb+vUPlVPsttyKct13f9CF1DXHnWcf3Y9OOnKTNl/+dsg+b4pdx/cuZP4TtHfeew2abQ36HtAABAb7vpBsTa2TmUxWIanW+xmP4mr60jYZbrqkvTBlc9rvI02zT1NS2m46bZN7a0vn3jKsM8/rbybcdfU6er/pQ8sFv38QvVp+G7foTS+NoWm68Nmvj8adtky1f1+Ifau45jV+X+VVX5/ufaz3W2Y1PvnwAANCV7UCBl1qOs3IGILSfU4Sh39LQd0PK/QwO+3B2LmCBFW2g7oaEBgu3frvJ9yvW4Ovq+tpTzavPEtDc2IKQJiGjLXMc5bNa3acfPzOP727b/XdcPzXWubTb9+LmkBhJTy61bW+5fOYVWd5jHSfNeXAEhAAC6KHtQINfMRNUOu6sNKbNy5fKrDsyf0kCgysDYl08zy5RKs2KkXHdVKcc7dH5pV6mU89Y5qDLLtf1bEwDSnkt1Hj/bwN822DC3295HaL8X78X1fmL3TQ6bfvxs7Qq97nsPTQwYQ8En2/ZQu3Pdv7RSVnn48voCNFUCfAQEAAD4Ve1fH2hyCWOTNKsZQmljZ5Fz0yyBDR1H2+ApdoBaHjz50mjLNAck2kG0SbOKIWWlgO318r6O7dCmtCuV7ZzwrcJxDQ6bOn6h2VQb3zltvkfb4K0cGAjtv7pt+vHz/a1pm6uu0GtVB9quWe5NvX+6Aru+gIe5KqTOwGWb9x0AAE1o5TMFUjoF6+hE2zr6ofZUaYt2oFvnoGEds3W+92TOrJrbNPWE6nYN3Mz2pQwkUo+Nb99oBlUp6uwom23NNRNc9/HTzn5r2usbJJsrBtpmU49fithgQujcqRKEyCnm/lWnKvewqvuq6fcOAEBb1RoUWMcNeJ3LADUzOCHrnPWrQvv+Qp1MXwfb97pZfkyd2k54ebBRnqnVtj/HgNE1c6aZ3bcFnjQDKE07crMdR19bmj5+mhlx2353lR0aIMaeJ7ZtdV4DN+34lesJlaUtrw7rrDfH/UvL9Tkx04TuD2aadQfFAQDoitqCAr5lgq5tMZ2U3LOkrvJtYjrIrryamW7NPmuLmNn71ECO75zSlhmTrmqnOSVokLICItSxTs2fQ+7BxzqOX2i/aa452nMz9H58s9PrGExu4vErxFyPtHWltKuJ2fnU+1fV+4trVVeVcmOPT5U0rCIAAHTV2r4+YOtIVxkU+vJW7YTYyk+ZrY6pyze7WC5zHTMlscfG3N+ujmDsgECzxNj8OzUYUa6jzgFlSGhWzKzHN+scM5hsapbUrL/p42eWp5n1DgV2qq6Waas2H7+Q2MGq7/oTW6fr72KbLZ+rvDLftUN7/8qx36teX8zzQLPqQFtPUytCAABou1qCAjlmB8plFVJmXpsS6iTbBr62/DF1NU0zI5pDaODg6xDHdhpTAiQ5y7O1z1VXW2gHdm08frblynUdQ9/7b3JF0CYfP41ywEfTJlf+lMBpKPDR1s+0Vh2r20KB0iY/KwAAPBXZgwK5O3F1LuusKrW+UKdUM9uWsz1m+Snl+Dq65ox/znpt7YjZXq475jhoxC7RjR0M2tKaA6qUfDmkDJxiAj22fDmOn2YgXJQbM8tcLluzgmNTAgNlbTh+sTQBCNeMekz6cp6Y/epbTZBjNUxutuuP5poEAACalT0osOkzHeuSMluUs5Pua1eqlAFBTHrX1xHK/w51SmPZBnLlQaFvoBcqM/a1qqsWzDJSlsZr2fZRqG2uMpo+fuYA3bfCp1y+2YYY5rmdWkYXj19opVrVwJvZtpSyNMfGdQxSggvrVj4GseeBLzgUOqZt3R8AALRdK3+SsA3qmiUuXtMOzOqofxPFDF5zdPq1qx5Cs4Vt7rxrVnekMDvoMQOg2LrrOn425fejSadJa2PbfykBwVRP5fhVzZ9roOkqRxNY8r230PWnKbagmNlWM3CjDZS6rvVtvL4CALBJ1hIUqLKMWdu5qWP5s6sdmna7BhDm7Jats+QTMyDJsU9yzHqGyqxSrmv1gDmg8rEda00H3jxmtmNo25Zz9tEm9hyytTe1LbZ9Z57vLrZBQhPHzydlwOwqo8xXXuo50cXjFzPI981kawbstvbbVimEghau/RM6fr72V71/pXLtN9dnTRuc85UbExwheAAAgF1vsZg+1lV4kzOkthkF3wxeznZqO7Wa13K2YdM00dFLnYnSDAJS21O2rmO6qedP1ePnGuD5ZjVDn+0m9iPHr1obcpWVWn/sqpC2HuvQfdi33fz8xdYFAAD0ag0KAAAAAACA9tpqugEAAAAAAKAZBAUAAAAAAOgoggIAAAAAAHQUQQEAAAAAADqKoAAAAAAAAB1FUAAAAAAAgI4iKAAAAAAAQEcRFAAAAAAAoKMICgAAAAAA0FEEBQAAAAAA6CiCAgAAAAAAdBRBAQAAAAAAOoqgAAAAAAAAHUVQAAAAAACAjiIoAAAAAABARxEUAAAAAACgowgKAAAAAADQUQQFAAAAAADoKIICAAAAAAB0FEEBAAAAAAA6iqAAAAAAAAAdRVAAAAAAAICOIigAAAAAAEBHERQAAAAAAKCjCAoAAAAAANBRBAUAAAAAAOgoggIAAAAAAHQUQQEAAAAAADqKoAAAAAAAAB1FUAAAAAAAgI4iKAAAAAAAQEcRFAAAAAAAoKMICgAAAAAA0FEEBQAAAAAA6CiCAgAAAAAAdBRBAQAAAAAAOoqgAAAAAAAAHUVQAAAAAACAjiIoAAAAAABARxEUAAAAAACgowgKAAAAAADQUQQFAAAAAADoKIICAAAAAAB0FEEBAAAAAAA6iqAAAAAAAAAdRVAAAAAAAICOIigAAAAAAEBHERQAAAAAAKCjCAoAAAAAANBRBAUAAAAAAOgoggIAAAAAAHQUQQEAAAAAADqKoAAAAAAAAB1FUAAAAAAAgI4iKAAAAAAAQEcRFAAAAAAAoKMICgAAAAAA0FEEBQAAAAAA6CiCAgAAAAAAdBRBAQAAAAAAOoqgAAAAAAAAHUVQAAAAAACAjiIoAAAAAABARxEUAAAAAACgowgKAAAAAADQUdt1FLqzc/i7bYvF9Otrxb/NPOU0NrZ8AAAAAAAgTfagQDGgXyymzsG9Lb2Zt7yNYAAAAAAAAPnVslJAxB8cKP8dWjXg2wYAAAAAANJlDwqYQQDfVwlsaRj4AwAAAACwHrWsFCgCA9oBvpnOzM8qAQAAAAAA8ustFtPHnAVqniNQsD1YkK8NAAAAAACwHtmDAgVzMB/628zrQoAAAAAAAIA8avv1AfPf2jyLxZRfHwAAAAAAYA226ii0GMSb/7cpBv0M/AEAAAAAWK9aHjRYzPwXA/7Q1wFinkMAAAAAAADyqH2lgPkrAsV/ZnpWCgAAAAAAsF61PWgQAAAAAAC0Wy0rBQAAAAAAQPsRFAAAAAAAoKMICgAAAAAA0FEEBQAAAAAA6CiCAgAAAAAAdBRBAQAAAAAAOoqgAAAAAAAAHbWdu8D/N3+Wu0gAAAAAAFCD3mIxfWy6EQAAAAAAYP34+gAAAAAAAB1FUAAAAAAAgI4iKAAAAAAAQEcRFAAAAAAAoKMICgAAAAAA0FEEBQAAAAAA6CiCAgAAAAAAdBRBAQAAAAAAOoqgAAAAAAAAHUVQAAAAAACAjiIoAAAAAABAR2033YAcLi/n8uXLtVxd3cjt7VKWyzu5v78XEZF+vy/D4baMRkN5/nxXXrx4Jvv7ew23GAAAAACA5vUWi+lj041IcXu7lMlkJtPpZ1kuV1F5h8OBHB5+I0dHBzIaDWtqIQAAAAAA7bZxQYHV6k7ev7+Q8/NPWcobj1/K69ffymDwJBZNAAAAAACgtlFBgclkJu/enX/9akAu/X5fTk7GcnR0kLVc05/+8k9Vun/948/qtEV6V32u11zpfeW5ynbVY6bxiWnnpuj9/Y/y+N//+/X/rm2ufNryAQAAACDVxgQFTk8/Zlsd4DIev5Qff3xVW/m2wbO5TTPADtXhY9aloRnwawMTsYGKTdb7+x9V6coDezOAEJMeAAAAAGJtxJr5t2/PZDa7rL2e8/NPslyu5M2b49rqsA3EXYNzc7stnW2A7Ruga9Jp8mrLLlY9lFc/VGnHprCtDij/WzuYZ8APAAAAoE6tDwqsKyBQmM0u5e3bs9oCA5qVAmZa3+oBm5ivHmhXFtjabUsXKsP3fp+a8ky/7d/lbTGBgrLUfAAAAAAg0vKgwOnpx7UGBAqz2aWcnn6s9asEddKuFPClzaH8jIJy3bYVEE9ttYBvZUDMagHzKwQM/gEAAADk1NqgwGQyq/0ZAj7n55/k2bNR9ocPar8+oPnqQHl7zOx7ygMAU74+UA4GPLVBv4Y5oC/+Np8JYG4r2LaxKgAAAABATq0MCqxWd/Lu3XmlMgaDwf+VtUou4927czk42M/2c4Whrw740lapp1yfWae2nipfH3DliW3DJjEH79pBPwAAAACsUyuDAu/fXyT/7OB4PJbDw0N5fPz1RxV6vZ5cXFzIZDKJLuv+/l7ev7/I9jWC8gP3tL8wkDKT78uTWn4usfVvqtAvCJjpAAAAAKAJrQsK3N4uk782cHJyIovFQt6+fSt3d3ci8uuKgcPDQzk+Ppazs7PoMs/PP8mrV/8lo9EwqU0F1/f5zUCBLTCgeUaAb/BuPv3f1o5Q+am/PqDN/5TF/uSgLS0AAAAA1KF1QYHJZJaU7/j4WObzuVxcXPxm+2q1ko8fP8rR0VFyYGAymcnx8TipXWWanw/M8YT+2KX9mvKrfH2gHJTocnCg/KsDrq8TlF8r/jbTmGUSOAAAAACQqnVBgen0c3SeFy9eyMPDw+8CAmWTyUR++OEH2d/fl8vLuF80mE4/Vw4KxAyqU1YKuFYNaAbiMb9WkML33p5qkMD2E4S2Bwz6HjTo2w4AAAAAOfQWi+lj040oXF7O5d//Po3O991334mIyC+//BJM9/j4KOfn8Q8x/MMffpT9/b3ofEAs7ew/qwQAAAAAVLXVdAPKvny5Tso3GAzk+jqcdz6ff/1VglipbQNiaQf6BAQAAAAAVNWqoMDV1U1SvtVqJc+ePQum29vbS/6JwtS2AQAAAADQVq0KCtzeLpPyXV9fy/Z2+PEIg8FA5vN5Uh2pbQMAAAAAoK1aFRRYLu+S8l1eXsrW1pYcHR0504zH469p19k2AAAAAADaqlVBgfv7++S8Z2dnMhqN5NWrV795bsBgMJDvv/9ehsOh/Pzzz420DQAAAACANmrdTxJWcXZ2JuPxWN68eSO9Xk9ERB4fH2UymciHDx8abh0AAAAAAO3SqqBAv99PnpHf3t6W3d1dWSwWcnp6Kltbvy6CeHh4kMFgIPv7+3JzcyN3d2lfA+j3+0n5AAAAAABoq1YFBYbDbbm5iQ8K7O7ufn2IoGvQXwQN7u7u5OYm/pcEhsPqu2pn5zAq/WIxrZQvt52dQ3XZ5TYvFtOveYvttnI0aVx1aLjKi3lfVfKaaV3tT9nH5Xy27a52VnnvrnbY2qStT9Me7X60taOcN5RP2/aq+1BTbtVzJaX+0GtmOrM9try2Y2c7NqF6QrRtjj3XXG2oek7nyOPK5zu/tELHVfNajLreh4/vs6Z9/zmt+7wRqfa5iT0vUj9/VdoRk8aWpyzXZ77Ofo/2vpLrWhOTro7Pke/+ElOvZr+soz+fen/KeX1O3YdFOhH3eVjQ9gnquh7EWtc9oAmtCgqMRkO5uVlE5dnZ2ZF+vy9fvnzxpru7u5PLy0t5/vy5DIdDWS7jfk1gNBpGpbdJPWHXdaKb5bvqtrVDe8Ms0voGduYFwVd26gDabH/VMmxSj6umbF/5tv1qdjqqdAZC9dUxmC6nNYMcqTcsW95yGZoyQzcpbX0hdQ+GYq8nMR1kV10xAZqYujRl2drgKsf2WYkNSsUw6y3TBChC23zXT00QxLXfNAE/kyYgVM5nXsNs1wBNO3yv+8rKfazNcusYzLrq0r6m2bfr6CRrzvXFYpp0PfPVUS47tqyYa5W236P5zJhl+7a52hHK43ot5V5QF9t9JubzHOrbxQxYzbzm67Hniu8+Ybue+NK72uZ7/75rga281D6DRtuuS2WbFjxoVVDg+fNdmc30vw4wGo1ka2tLrq6u1Hmurq5kb29Ptra25Pb2NqptVaUOKnMPRjVcg3ezbtfFMVS2b3tRp6ZsTSQxNNDWttfXCdZcIMt/xxyjXJ0R83zatItVWWyHwjawMP8dyptys0sdUGgGrTnZOqHlttjSF6/Fti+1rhxs1y3fe4gNWsReq231xHRuXJ1ezbXJ1a7YgW/o81T182B7H6mdwCoDqTo7uLH326qqXDdjroOhc0OzH83+gLndxgw+2mgDZSFVB80p/Z4qYgfIvmuH9rNUPn99/a/U8zvmPCu3pcp9zFZ+3fcvc//ZrvVmnZr9q/ksufKZaX31aAIfoeuGJjiyrmBEuTzNWGQTtCoo8OLFM3XaXq8nu7u7MpvNouuZz+dycHAgi8VCHh8fs7fNJeamliNfVaGbR2iwbqrjghm6+dtey/HBNfO5BhdtukiYN+bc7QldnHNLCaykDpZs57omABUq19yuCSxp88XKUYamw2e2OXbQWrVtts+o6zXb+/HtpyrXal/H0rbdFthwdZJ87z3UXtd12xzErOv6VuWaHWK7jtsCLVXb4qrbVqbmfmu2yVe+r5PvymP7W3Md9J0boUFpbJ/C1daU4FGslCBLnbQDdk0QLOZcc11bfX0wV1kxtPeSOq5P2nuHa1voNe35a+vbuI6lL4igbUOdQv01W/+7UKV/Fitn/6stWhUU2N/fk+FwIMvlKph2d3dX5vN5cl3z+VxdxnA4kP39veS6RPQdvarlFXJEPW3bQhHXYntM5ynHB9Uc8Nb5IQ1d2HN3ELSdWU1+s2OYa1/Fdlx9abQD69wBl3IZ2oh2LM0N3tXRquO8jgngmDdlswxz39nSh8rQtiWGLRhmY+tEldvqGiyaddhe920rb9fmse0v37GsYzDi2xe5jp9rYOi6btR13a9zMFf1fmvm0+yDXNfOOu53ptiAjCYgkaudsUGx2PtjqKzU/e8LftnSusrLdQ/0bdequj9TAmWue4BrsBi6/8d8fm3XBk2Qxmyri+3aqz0XUu7nKQETX/o6A0A56vjb3/5HRER++umvv/m7vC0mTyhf+TWznLJWBQVERA4Pv5EPH8I7ejgcBp8j4LNardRBgcPDb5LrKcTchEMdx9h8seq6gZr5zAtbKluHOOai52uD60JnK9ccdNjen2vQ4RO6+WsDRLZ0OS+csR2emHPcdXxdQgMk1z7R3sy0N/HYwYvrffnO1SrHUDPIL7bZIvOx1xxbJyXUoajK1m5t+zSd45RrtaYMDW1AJuZ803bOfNeVXGznhesY+a6T5v0m9nMbu19jrON+6yvL9xnUfl60121zuy/g5Rr4uMov8rj6A9r9XOdgYh2fGU0Q0bU99HcofyG0D30Biap8fcvQYF173pv5in+b/T9fG31laNqgDZL56gx9Pm1laPustrLqPO9t9ecODuQqtzxIL/5tDtrNAbstj4g7EFDOpymn0LqgwNHRQTAo0Ov1pNfrycPDQ3I9Dw8PX8sJfYXg6OgguZ6y1A9HEx+qqmw36/LF2nUhzCWmTE2HOfZmaStbeyGJCQppOmN1M2/C2oBHXdFcW92+m7CmPb7Ojy+fq6MdyuMb/Ne538x6zG1l2gGWTZXzMyVvTB5X8EM7KAnVmyNPOW/RNl85rmOkuZ5oAwGu62WOc1VbtmuA60rnal+dQaq6uO6vtnQivz+WmmMWex30nS++c1dzXM121XlNTBHanzn6PTEBD1uwpNxOX1BIEzTyXTt879MMtKWw9Sdjr22a7WZ9vmu59joeakPos+x7n5pz0NUOV3BN0wYX1/li9iFt9y5ffyP2upTjPNsUP/30198FBmyKAEHrggKj0VDG45dyfv7JmabX68liEfcrBTaLxSIYFBiPX2b55QHbB8CXtmq+qmLLCnV0y+lcg7JU5kWj3J7QPtPeQKrcHHN0WGwXZE1H33ZRj+lIhJTLKXfy2sZ1E/f97QsemGXn2p+a4MK6aDut5vt3DeDK26p0iDXBplAe7bXUdT74Oluh10LtzzFQ9wVxitdTOnKp7U2l3c+a/CZtQMWWx9aeKtZ5zXSdL5rPZex10HV9Ld8zzPw+Va4ZMeeldlDoyxfqd+Siua+Hrh/lz0Hstdz2t9knqLs/aJ67VQepoXa68pv9ofJrOeoz04SUj2NM+qpiP6e+fVved77rsqtu2zmY+9qdqzzfsv6ceXxaFxQQEXn9+luZTj/L/f299fWHh4dKzxMohMro9/vy+vW3lesRSevQVMlXVezNMxQhtZWb88NUlG22xxeFdd24crfLrLfcvhixAynfe8+l6UFsroCLrdyqZeRMHwpm5N7frs+R+Rmxnc+2z1EoSJdyPbSVrxnsaoJ2oYGNqyNeNeBhq8+1zdam4t8pnSffds0gyLddc3766k0JNmquta5rvqaTmVPVwarvfuYqwxfkSr2u+j5Htr9D+bWv1zHgSakr9tqTU0zZ5ueqHBhwpQtdM0MDr1AZdQUTXdtt57/mfbm47pV18t1/Yj972s+QZn9oxwPr0obPnIa5rD804A995SCl7lYGBQaDbTk5Gct//vOh0XacnIxlMKhnF/lOpNSbjqbD0AQz2lx3lM68MYUGVGa6lItnziCPLzgRaqetc2fLHzqPUo6Rq111B1hS89bRubfVk0No1sGsM3Wf+46hORMSaqdte44gkisQoWmf7zPl+myWz5NQ/irnui9g4rtuaDuAmoF67LkTW0bo82B2rH11mfugnC7X+yj/29c2WxvWJea8EfFfS8rnca57tW3QonnNVVaVdmjbuUnM61RMAM52Toeuh66/i22xgYkctNc/zf0nNqBp7rs6zyHbfSi1n5erPZoAQRsCA7nFXrtS5Jr912jt1wcKR0cHcn196/0aQZ3G45fZniVgk/ohSZ0tqTuPr5w6o4aam4Hromm2yYyWx9xAXO/RN/iMvYi4buS+6LyrDF9HMkVqdDxngCWVpr7U/VL13Nd04MtSrw+aTkTMeRZDW5b2c6kJmtjyhm7yoU5lmwYVdXbCfLNRIa7PQ8xAJlSutjxfHbZzQXv9Xcc92lW/2Y7QNcI1QC+XUU6X4725AgOx1yBXPa7zM8e9qS1cx9A8/2Kvla77gfbzGTo+bbpG2tj2XUp/0PZaqD6NmPtP1b5BbBuKOjT7ScMWhPIFF9clR922VQChXx9IyVNOU36goW8FQm+xmPqfstewt2/PZDa7XGudBwf78ubNcW3lhy6MsZF/3+t1X4RdMyihdpppYvGR+xcAACAASURBVD7w2uicL3qqaavrBqEJCtjSp9wAUttptsUXvPB1DDViB2Ep52PuIEboHAqdj65jGjvAdeWz1eF7/6kR69QbnKY+TdAiVLe2Y6apP/X6aWtrqLyqASBbPb7rmaZdVa5FrvrqCuBpjl1KcKLK9U3EPwMZG+RI4bue+/L40sbct2Ovg5rzM1RuTL+gSodde62oci8KXec1789Wjovr/mAO/l3t05Rty+sq03Uti63b16Zc9yNb/nKaqgP6lHPMbIu2Ts11L3SN1Uq5H9nqS73+5+ifaYXOiTrHXnVpfVBAZL2BgboDAutWd1Cga+rqBOemvelWHVSiXTh+AADUq+5gJNCEjQgKiIicnn6s/asE4/FL+fHHV7XWAQAAAABAW2xMUEBEZDKZybt3585fJUjV7/fl5GRc6zMEAAAAAABom40KCoiIrFZ38v79RbZVA+PxS3n9+tvafmUAAAAAAIC22rigQOH2dimTyUym08+yXK6i8g6HAzk8/EaOjg5kNBrW1EIAAAAAANptY4MCZZeXc/ny5Vqurm7k9nYpy+Xd168Y9Pt9GQ63ZTQayvPnu/LixTPZ399ruMUAAAAAADTvSQQFAAAAAABAvK2mGwAAAAAAAJpBUAAAAAAAgI4iKAAAAAAAQEcRFAAAAAAAoKMICgAAAAAA0FEEBQAAAAAA6CiCAgAAAAAAdBRBAQAAAAAAOoqgAAAAAAAAHUVQAAAAAACAjiIoAAAAAABARxEUAAAAAACgowgKAAAAAADQUQQFAAAAAADoKIICAAAAAAB0FEEBAAAAAAA6iqAAAAAAAAAdRVAAAAAAAICOIigAAAAAAEBHbTfdgBwuL+fy5cu1XF3dyO3tUpbLO7m/vxcRkX6/L8PhtoxGQ3n+fFdevHgm+/t7DbcYAAAAAIDm9RaL6WPTjUhxe7uUyWQm0+lnWS5XUXmHw4EcHn4jR0cHMhoNa2ohAAAAAADttnFBgdXqTt6/v5Dz809ZyhuPX8rr19/KYPAkFk0AAAAAAKC2UUGByWQm796df/1qQC79fl9OTsZydHSQtVzTn/7yT1W6f/3jz+q0RXpXfa7XXOl95bnKdtVjpvGJaeem6P39j/L43//79f+uba582vIBAAAAINXGBAVOTz9mWx3gMh6/lB9/fFVb+bbBs7lNM8AO1eFj1qWhGfBrAxOxgYpN1vv7H1XpygP72GABgQEAAAAAVWzEmvm3b89kNrusvZ7z80+yXK7kzZvj2uqwDcRdg3Nzuy2dbYDtG6Br0mnyassuVj2UVz9UacemsK0OKP87djCvDTAAAAAAQIzWBwXWFRAozGaX8vbtWW2BAc1KATOtb/WATcxXD7QrC2zttqULleF7v09NeSBv+3d5my9QUA4kmFICDAAAAABQaHVQ4PT041oDAoXZ7FJOTz/W+lWCOmlXCvjS5lB+RkG5btsKiKe2WsC3MiBmtQADfgAAAAB1am1QYDKZ1f4MAZ/z80/y7Nko+8MHtV8f0Hx1oLw9ZvY95QGAKV8fKAcDntqgX8Oc2S/+Np8hYG4rv0ZAAAAAAECdWhkUWK3u5N2780plDAaD/ytrlVzGu3fncnCwn+3nCkNfHfClrVJPuT6zTm09Vb4+4MoT24ZNYg7obYN77S8M+MoFAAAAgCpaGRR4//4i+WcHx+OxHB4eyuPjrz+q0Ov15OLiQiaTSXRZ9/f38v79RbavEZQfuKf9hYGUmXxfntTyc4mtf1OVvyqgSad5jYAAAAAAgNxaFxS4vV0mf23g5OREFouFvH37Vu7u7kTk1xUDh4eHcnx8LGdnZ9Flnp9/klev/ktGo2FSmwqu7/ObgQJbYEDzjADf4N18+r+tHaHyU399QJv/KXP95CC/KAAAAACgaa0LCkwms6R8x8fHMp/P5eLi4jfbV6uVfPz4UY6OjpIDA5PJTI6Px0ntKtP8fGCOJ/THLu3XlF/l6wPloESXgwPlXx1wfZ0g5acKWT0AAAAAIFXrggLT6efoPC9evJCHh4ffBQTKJpOJ/PDDD7K/vy+Xl3G/aDCdfq4cFIgZVKesFHCtGtAMxGN+rSCF77091SCB7ScIbQ8Y9D1o0MTgHwAAAEBuvcVi+th0IwqXl3P5979Po/N99913IiLyyy+/BNM9Pj7K+Xn8Qwz/8IcfZX9/LzofEEs7+88qAQAAAABVbTXdgLIvX66T8g0GA7m+Duedz+dff5UgVmrbgFjagT4BAQAAAABVtSoocHV1k5RvtVrJs2fPgun29vaSf6IwtW0AAAAAALRVq4ICt7fLpHzX19eyvR1+PMJgMJD5fJ5UR2rbAAAAAABoq1YFBZbLu6R8l5eXsrW1JUdHR8404/H4a9p1tg0AAAAAgLZqVVDg/v4+Oe/Z2ZmMRiN59erVb54bMBgM5Pvvv5fhcCg///xzI20DAAAAAKCNWveThFWcnZ3JeDyWN2/eSK/XExGRx8dHmUwm8uHDh4ZbBwAAAABAu7QqKNDv95Nn5Le3t2V3d1cWi4Wcnp7K1taviyAeHh5kMBjI/v6+3NzcyN1d2tcA+v1+Uj4AAAAAANqqVUGB4XBbbm7igwK7u7tfHyLoGvQXQYO7uzu5uYn/JYHhMO+u2tk5/PrvxWIqOzuHX/9fbDPTaRV5i/zlv7VtM/OY7Qqli2mjL395n5h5Y/eNbz+k7KdyG3LsY026Ku2sO58rbWi77z2mtlvT1hCzTRopeWx5i/yabebrKXXF1OFKF6o7x3nsy5v7XHG9H9s1qdgeao+vjamvhbiun2a5sXWs4zik3P9ERP2eYs71crkx+eu89sZ8Bm3X2pR25ronpVjH/SiH2HaKxPchACC3VgUFRqOh3NwsovLs7OxIv9+XL1++eNPd3d3J5eWlPH/+XIbDoSyXcb8mMBoNo9KbfB0zc/vOzuHXm0qVDo2rg+Dr7JbbYOv8uv4ut0PTkXH97arbFQjQdnB9naXitVCHKeY9hdqnFerIxaga+LAJdb59223/tx3n3J0mVzDC1r6y2PNak8eV1xdwC11LUtqZwtyHVYIVmnOsSLeOgICt7qIeV7ts6Wzvy3WepH7WY4IxKbQBYd/2VFUGsK5riyaP2Qbbda7OwbDmGmUTSusrU1Of5jqVW+pnIvb8NN9/1c+V9poGAG3RqqDA8+e7Mpvpfx1gNBrJ1taWXF1dqfNcXV3J3t6ebG1tye3tbVTbqkidUXNJiUSXy/Z1dovXU2YqbWVpuGbf1iVUv+34ufZh7s5ybOdQEwAxyw/Vr6lPO2Ayz8FQMKctHaiU81PzfjQDZlvQLTboF5NWe43KFbTyBY7Mv2PPs6akXAd816HQgDWmHhfN9WGTjoPt/PQFtl3XJFt6M6+ZL4VZnu8+7MoTErrXhc6BmOtXjoBUapAs5fws7+86rmkA0GatCgq8ePFMnbbX68nu7q7MZrPoeubzuRwcHMhisZDHx8fsbbPxdSx82zSdZV99VTrtmk6RrY1VggahGbbcN1pzpjNm9ji286s5B1zlxL7vKjPUoTS2OmydLm1ntvxvW4fV1blLUTU4Eyrblqc86+dqj7kvzEGGmc43EIhpZ0rQL7Y+XztCnzXftUV7nlWRo5zc188cXJ/D0CyxLai8juMQy/yc2AbbxfbYgHDqPTW0n33nfKj9MW3wDXhjg8+h8yWHlPtm7PlpCwxVaaO2nQDQJq0KCuzv78lwOJDlchVMu7u7K/P5PLmu+XyuLmM4HMj+/l5yXSLhpZe5B7w5Zyt85cXcDDVCg6hcXDM8vg6fdsZXc2w1xzt2xtD8t6aO1ABE6NhoZkTL6cwOs21gXFXVc7XK+RgbpHMNAmwDhFzt9AXkCrZAoW8WzleP673EzHzWESgsSxnk+j6fZntDs5qu8jX73DcosbVnZ+dQPTgOtWkdQoExV0BNU27oWh9K70vjGuQWbfQdN9971ry/KpMErsClbVuO8yFnP0lzPyr2fcy5oukjme0AgLZqVVBAROTw8Bv58CF8cR0Oh8HnCPisVit1UODw8JvkelK5bmK2GUNNByGmox2arQ3lbbvQvggNVlx/28qv0jnyHX9NO3xizocUms6h+Zqv01u1vbGzNmb6KvvJFfRwles6b2yDB9usYgrN/rUNXEMBKlteX9rY45w7cFRVaqfftj9d1yDNMU/ZH1XP8dR6q9Tp+hwUNIEuXz5tOl9QRxsgteX1pTX7ANp6U+5LsdfDOgICVWjOT1egrA3XFQBYh9YFBY6ODoJBgV6vJ71eTx4eHpLreXh4+FpO6CsER0cHyfW42G6y5syGLY+tQ2jrPMbMdGjk7nS5yvWVF7tvbLTpbB3OlH3Ypg6FdjaySpDBZDtmvvPV1YnNIWYGqJDrvI5pi2u2yra/qs48mdedumayzE62aza1nNYm5jzLIWV/hIKqsQFW7ec2lW8W29YeX7pQQCuWdvDpOnfM89vWHl8gJnRPNutMfZ8x+ULvURMc8B1v13XHdV776qvruIdUuU7kDjwDwKZoXVBgNBrKePxSzs8/OdP0ej1ZLOJ+pcBmsVgEgwLj8cvKvzwgoo+0a2f+zbI0MyZVbrShG16oIx8z8+cbOMS0TTuL6WuLtq5QXk3ny1dvkT40y+yrQxsMSeHrGJsdsZROdF1BrSr5YgNRtsGHNsjlG7CH2hBzXcgdLDKlzDBqz506AgOxg9uYWUhNeUXemGtcTNnltrn+tpUVexzqDo5q7oFmepH2zARrBvK218v3gtC5YJso0NYbE4gvH/86Bvea62CV64T2M7rO8xsA1qF1QQERkdevv5Xp9LPc399bX394eKj0PIFCqIx+vy+vX39buR4R/UDIduPWDAI1nc4qHSDfDdS2TdOZzjnDEurY5ozi245RqK7YTl+ofm0HOHbA6JpxMmd/YtuunZnJOcuoEVN26rEub7fNRMbkt7WpSjvXva/rCloW6uqcVx3kxAy2zHzldObfVfdnzKArRhODJN/nwxccNYNOMcHomPepmWW3bY8Nqtu22QKSVWhm23N8pnPeN33llstPSVflvklAAUBbtDIoMBhsy8nJWP7znw+NtuPkZCyDQf27yDdwj70J+m46VToDVWfttYPX2BmxJm6otg7BOuqse2YiZpatDTNsdXQ6y2X7/g7lL+fzBaw0s8BVBh7admrSxcxExljH56eop2ogLiWQWQ7iafmCnTEz4im0wadNUD5uvs+GZpCr2RZqS4jrepHj+m8GP6rQ3ic2UWy7q943U67zAFCHVgYFRH79Hv/19a33awR1Go9f1vIsgTLbzUAbqdaW7xqAaDr4sbNjqasSNJ3QNt0w1zmz3VSHwezAhDrOVd9z7ExW3bOZrs9k1SBdzExe7HmVa1VQrDqDM7a6UuTKl2Ng5bvupw5Qc1rX568t6lotUUgZZNrKqLLSJmYFxFPQ1HuNvW8CQJu0NiggIvLjj69kuVzJbHa51noPDvblxx9fZS9XM9At37xzBgTM8l0DjtSllOXyzTLNf/vS5+hA1S1mpUDqa77zICZgEto/oaWNofbZBki+425bERI638uzrLlWS6zzvI5tgyuvL3gWCjBWWengey1mVtn3vkKfBdu/NeeZpv6QKkE/32fY1eaY627KyoVQ2tggbexxWAfXqo7Q+zCvZ7Z8tm2pK0h8bY5hu67a0pTrcKV1BSW0aXOoct8s/99Mrz3+ofpy3TfNNgBAk3qLxdT/6P0WePv2bG2BgYODfXnz5ngtdaGamBsy0fqnheOJGJwvAAAAbhsRFBAROT39WPtXCcbjl7WsEAAAAAAAoI02JiggIjKZzOTdu3PnrxKk6vf7cnIyrv0ZAgAAAAAAtMlGBQVERFarO3n//iLbqoHx+KW8fv3tWn5lAAAAAACANtm4oEDh9nYpk8lMptPPslyuovIOhwM5PPxGjo4OZDQa1tRCAAAAAADabWODAmWXl3P58uVarq5u5PZ2Kcvl3devGPT7fRkOt2U0Gsrz57vy4sUz2d/fa7jFAAAAAAA070kEBQAAAAAAQLytphsAAAAAAACaQVAAAAAAAICOIigAAAAAAEBHERQAAAAAAKCjCAoAAAAAANBRBAUAAAAAAOgoggIAAAAAAHQUQQEAAAAAADqKoAAAAAAAAB1FUAAAAAAAgI4iKAAAAAAAQEcRFAAAAAAAoKMICgAAAAAA0FEEBQAAAAAA6CiCAgAAAAAAdBRBAQAAAAAAOoqgAAAAAAAAHUVQAAAAAACAjiIoAAAAAABARxEUAAAAAACgo7abbkDX7OwcymIx/c3fNuU0vry2dK48rrp8dcYK1aGtT/PezDpj29/0/ox5j7F5fOli32dKmZp9k9oOs44c5y0AAADQVQQFWsA2+DKZ21IGlKFBeC7aQWuojJT3qLXu/ekq37YfcgQTquw/V0BAW3dRf6i9dR9jAAAAAGEEBdakPPgzZzi1A3JN8MBX97oGYTkDDHVqw/5MDdTEBhNsQQozn+0cLb9eTufLE7M/yvvQ9X5tbQEAAACQB0GBNbENqMrbY4QGouVBlibwkDtQELtSIOfgN0Wd+zP0PkNfH4n9CoXt365BvVm3K8jh2xazX1x875WVBAAAAEC9CAo0yJwBtQ3SzHShQdumDKI0gZG63ss69+e68tr2Z6jtsYGQ2PJDbCtm1nnu/u1v/yMiIj/99Nff/F3eFpMnlM98zbatStsAAACAFAQFGuALBpiBAFegwCX1+/y5B2SaGeMmghdN7c+Ur4hUmXW3rQYILfV3BQB8zwSw0ayIKK8y0NSVW3lAXvy7PNgODeLL/w4N0s3AgWtblbYBAAAAqQgKrIlr4O/7rnc5vebBdb6H2YWWo+d+DkCbVys0tT81DxDUpNcOnG3L+kNBB83XOjT7JaW9T9VPP/3VuqLA3MZgHwAAAE0gKLAmtq8CaJ/Qbmr709xjZ8XX+UyBJvdnauAltg3mgxC1ZbrOR3PVimsf5tD0OWwu268rTyoCBwAAAMiNoECDtKsEzDSh74mbD4GLrSNVaKY4ZRm6pm1Vv9e+rv0Zu1IgNm159YLr+/oxA27tsxV8wYcU2vbVETgwl+2HBvw5l/VrvoZAQAAAAAC5ERRoUGj1gC9PbJrywFYrx4yt7bv1uQdzvhnskHXvz1ihXyfQlqE5Br6vL6R8tSKVdj9VOe5a6xyEhx48SEAAAAAAdSAo0DBzBjfnQMec6Y2dJc5Rv62sNnzFIUWV/SkSv1Ig9CsJsULlpT7kMDXw41q9sI5zw7YKIPSE/5Q85TTmAwTNbb56tHUBAAAAsXqLxfSx6UZ0gesXB1zLs7Wvl8s066vyYLuU77HH5Lc9HT9GHSsYfOXXtT9debQPBjS5vi7gKy804+/7qoJ2v4T2Z+xzKAAAAADkQVAAVps6mw8AAAAA0NtqugFoJwICAAAAAPD0ERQAAAAAAKCjCAoAAAAAANBRBAUAAAAAAOgoggIAAAAAAHQUQQEAAAAAADqKoAAAAAAAAB1FUAAAAAAAgI4iKAAAAAAAQEcRFAAAAAAAoKMICgAAAAAA0FEEBQAAAAAA6CiCAgAAAAAAdBRBAQAAAAAAOoqgAAAAAAAAHUVQAAAAAACAjiIoAAAAAABARxEUAAAAAACgowgKAAAAAADQUQQFAAAAAADoKIICAAAAAAB0FEEBAAAAAAA6arvpBuRweTmXL1+u5erqRm5vl7Jc3sn9/b2IiPT7fRkOt2U0Gsrz57vy4sUz2d/fa7jFAAAAAAA0r7dYTB+bbkSK29ulTCYzmU4/y3K5iso7HA7k8PAbOTo6kNFoWFMLAQAAAABot40LCqxWd/L+/YWcn3/KUt54/FJev/5WBoMnsWgCAAAAAAC1jQoKTCYzeffu/OtXA3Lp9/tycjKWo6ODrOWa/vSXf6rS/esff/bmd72OdvnTX/4p//rHn7/+37XNlU9bPgAAAACk2pigwOnpx2yrA1zG45fy44+vaq3DHBSaAztzAKnBwLCdUo6f7XxwpbWlBwAAAIAYG7Fm/u3bM5nNLmuv5/z8kyyXK3nz5riW8osBnu3/RYDAZM4wu8pEu9hWB5T/rRnM29IQBAAAAACQU+uDAusKCBRms0t5+/astsCAiDgDAKF0vqAB2sd17MygkIioAwWm1HwAAAAAICKy1XQDfE5PP641IFCYzS7l9PRjbeXbloS7ZoWL14v/F/+Vt6N9bMcptA0AAAAA1q21KwUmk1ntzxDwOT//JM+ejbI+fDB2+X85vblqgIFk+5nH1vagSB4eCQAAAKBJrQwKrFZ38u7deaUyBoPB/5W1Si7j3btzOTjYz/pzhdqBfeirAqEH0KFZ5soP2/HhmAEAAABoWiuDAu/fXyT/7OB4PJbDw0N5fPz1RxV6vZ5cXFzIZDKJLuv+/l7ev7/I+osE2tUCtl8g4JkCm0P7CxIcPwAAAABNal1Q4PZ2mfy1gZOTE1ksFvL27Vu5u7sTkV9XDBweHsrx8bGcnZ1Fl3l+/klevfovGY2GSW0qC31VwPw1gvJrseWhPar+5CQAAAAA1KV1QYHJZJaU7/j4WObzuVxcXPxm+2q1ko8fP8rR0VFyYGAymcnx8TipXWW25wJoBoYMHp8GV9CnYD5w0nZ+8BOFAAAAAHJqXVBgOv0cnefFixfy8PDwu4BA2WQykR9++EH29/fl8jLuFw2m089ZggKugIBvEFh+3Vce2sX2tQ/bMyFCDxpkwA8AAACgTr3FYvrYdCMKl5dz+fe/T6PzfffddyIi8ssvvwTTPT4+yvl5/EMM//CHH2V/fy86HxBLO/vPKgEAAAAAVW013YCyL1+uk/INBgO5vg7nnc/nX3+VIFZq24BY2oE+AQEAAAAAVbUqKHB1dZOUb7VaybNnz4Lp9vb2kn+iMLVtAAAAAAC0VauCAre3y6R819fXsr0dfjzCYDCQ+XyeVEdq2wAAAAAAaKtWBQWWy7ukfJeXl7K1tSVHR0fONOPx+GvadbYNAAAAAIC2alVQ4P7+Pjnv2dmZjEYjefXq1W+eGzAYDOT777+X4XAoP//8cyNtAwAAAACgjVr3k4RVnJ2dyXg8ljdv3kiv1xMRkcfHR5lMJvLhw4eGWwcAAAAAQLu0KijQ7/eTZ+S3t7dld3dXFouFnJ6eytbWr4sgHh4eZDAYyP7+vtzc3MjdXdrXAPr9flK+sp2dQ1ksptGvFa9rlMsIlWmWa6YtXrOVaXsttZ22ttrK0dRVbpsvr03M/tKUZytbc5xD+yamvSnK5WrbE2qjdr/FnrMarnPCTONrh7lPYsrylatV137JwVdv6ns1y4h9b+W6fcfSrDfXdaJK2Ro5rrsx+zRHvnL+qtez1GNl+xzH3pPruu4CANCkVgUFhsNtubmJDwrs7u5+fYiga9BfBA3u7u7k5ib+lwSGw+q7SjMo1ObVdHRteWzlltnS2DpPRdmuen1ydmBdaVI7sVqaMrWDyJRgUd0BAdf5lRK8Km9LDaqUpeyPnIPClMCebR/YyqxyXHMOOnPU7aorJaiSc7AYcx32nSuxbax6fvnqTslX5f1rA4Xa8mLP+yr30nIZrroJCAAAuqZVQYHRaCg3N4uoPDs7O9Lv9+XLly/edHd3d3J5eSnPnz+X4XAoy2XcrwmMRsOo9C6+Wa/UGW5NfYvFVD3THlO2TczAo+qAMXXgkaLqbHeR37c6IyZ9Sic/hq1+X3tsf9fRiY495r6Zwpyz5b5jrg0kuAIy5f+bYgbMMenr4hrQaWf02yA2MOZ7LXXWP6be1PJirvGa4KeZrs7rmfZ8cu3/pq67AAA0oVVBgefPd2U20/86wGg0kq2tLbm6ulLnubq6kr29Pdna2pLb29uotuWSsvQ09O/y37Ez9776tK+bAxtt/qoDNE1nLUdnuTxTnhL0SH2frsFhroGEWYZmBs61AqWc39e2HIEuW7tTyolZ+eD6fPmOh29lj60sV7uqBuDaEhAohPZ9zAx9UV7u+n11htoRG6ixlRGTp0o+V1rtyhtX+tB7017PqgRZQtciV951XncBAGiDVgUFXrx4pk7b6/Vkd3dXZrNZdD3z+VwODg5ksVjI4+Nj9rbZaGeHi7SuAYFZjm+gYkvna1e5HFenTzNwXFdHyRb8sA1WtctktXXVsUxXq87ZU/P4puQrbxNxD4Z9fIOe1JUh5by2gYJrn7rOqRDXuel63ZXfN9u5qQGBgnbFgC2fmT61/pTXqpSrSZvyfjR1xgQq1nWuaOqKDRy58lV5X21etQIAQA6tCgrs7+/JcDiQ5XIVTLu7uyvz+Ty5rvl8ri5jOBzI/v5ecl0i9llrW2ddM0NmBgPKs9fmoN43IKijo5NSnm8mRpMvtF07KNLMHPvq1aavEjSpurLCJzRoTVkhEZvPVbftNc0sf0wwR0szc+xbFVB8XmODgzba99TWAY1rpURbpASBqgzqY997XQHY2Bn41LbUeT0rcwUEzXa4rKudAAA0pVVBARGRw8Nv5MOH8E13OBwGnyPgs1qt1EGBw8NvkuvxsQUKQjP+oXJyzQpWHfhqmYO2mE5XaMawjs6bb3WGK31Z7BLU0Kz5uga6i8U0agVBlZUCIVUCDuV8qfsu9pi63r8mkBDTjk0Qel+pg7aqQqtFQnk16etYXRUTJNNKCUZpr2vrup65aIOdTbcTAIB1a11Q4OjoIBgU6PV60uv15OHhIbmeh4eHr+WEvkJwdHSQXI+Gb7BlG/AXQrM5Nr4ybKsMtJ3OmBlb22uxwQzNe0/prIc6fdoBqW+Al7KM3FZO7g6q7Ty0LXuPXU2RczbTXD4fOu98bYg5Dpr6ylzHLWbFjmvgtcmDktTrRE65ViTlrKfqflnnOVHlPaVcz2KDpr6Ahfaets7rLgAAbdC6oMBoNJTx+KWcn39ypun1erJYxP1Kgc1isQgGBcbjl9l+ecDGtrS4/HdZqDOTstTVljcmGKBNnxLACNVnG2y7Aiw5ZujKD2Ev5AAABA1JREFUx8a1T0KdTLODWlXOgEBIyiAn90qBXOd87HtJabfrs+163dc217netNjPT66Z7Cr5XPtWG5yp0p7YQWxsvpA693+Oa3zM/k85n8rX7irXojZ89gAAyKl1QQERkdevv5Xp9LPc399bX394eKj0PIFCqIx+vy+vX39buR4bVwe16KxoBwax9WnSudpUpZ6YFQa5Z2RDnVjX+7WVYa4osP07Vl0dzJwDR7Mj7QuKlP9v/jt3u7QrBaqWVS4zdabUtupCw3fu5ZR6XNY9QEqpTxPE0153tfXZpAYYYlYUxZYdq+o1e51C97M2thkAgCa0MigwGGzLyclY/vOfD4224+RkLINBnl2kmWUuaAbQMZ1Xs25f5zClXbb617kUOGa7+bpvX5fTaAef2qW+WlVnRXNxBUFs6Yr6q8zOa1V5n9oBuu3zE/s+YurSLm/OObBJHfi2PSAQCl6VX4tdZWSWZfs7Zh81cf1ctzqCWb66fEFj32d5ne0EAKANWhkUEPn1e/zX17ferxHUaTx+mf1ZAikzfVU6hr6ZcFda89/F36GOta0uX5mutvg6w66OvK0O30oB7WDK7Dia5YTaWaQJ7X9tkMa3P1OWPfuUj4MtkBUKboXO8dTXNOeyrRzN/rLVa3vfmnZqzxVTOagSyuca2FStW0M7aA0FQ3IMvmLOF20wMDWwl3odtLU35foZm1bbLk06Tb2x1zNtcNdXb+g+aDtHq1x3AQDYRL3FYup/yl7D3r49k9nscq11Hhzsy5s3x2utM2QdQQQ8HU91phH14HwBAADortYHBUTWGxhoY0AAAAAAAIA6bDXdAI03b45lPH5Zez3j8UsCAgAAAACAztiIlQKFyWQm796dO3+VIFW/35eTk3H2ZwgAAAAAANBmGxUUEBFZre7k/fuLbA8gHI9fyuvX32b7lQEAAAAAADbFxgUFCre3S5lMZjKdfpblchWVdzgcyOHhN3J0dCCj0bCmFgIAAAAA0G4bGxQou7ycy5cv13J1dSO3t0tZLu++fsWg3+/LcLgto9FQnj/flRcvnsn+/l4j7fzb3/5HRER++umvv/m7vC0mTyif+ZptW9V6AAAAAACb60msmd/f32tsoK9VHpAX/y4PtEOD+PK/QwN0c0Dv2hbTNgAAAADA07MRvz6AOLaggW2bZrDvW10AAAAAANhsT2KlwCYzl+3XlQcAAAAAABNBgYaZy/ZDA/7QVw5S6nZhlQAAAAAAPG18faBlzO/z14lnBQAAAABAtz2JXx/YFLl/fSCUJ5TPfMCg6zUAAAAAwNNEUAAAAAAAgI7i6wMAAAAAAHQUQQEAAAAAADqKoAAAAAAAAB1FUAAAAAAAgI4iKAAAAAAAQEcRFAAAAAAAoKP+P50SDTZAYQYmAAAAAElFTkSuQmCC
1、小花梅是八孩母亲，隐约记得好像并没有对他们的DNA进行过坚定，只拿了所谓小花梅之母的衣物进行对比，二有不少专家已经明确表态，衣服上的DNA信息会随着时间而变得有所差异，而报告中11中的DNA已经被人发现明显存在差距；
2、一直围绕小花梅做文章，忽略李生孩子的或者结婚的年纪，是否存在与未成年结婚的事实；
3、所谓的李发病也都是村里家里人说的，但谁作为第三方见过？既然在医院可以让人去见证一下；
4、对你们的质疑来源于漏洞百出的报告，如果合情合理，经得起推敲，谁会质疑？依仗zf强权我说一必须一，拿着百姓当傻逼？百姓不好忽悠了，开始打苦情牌？去nmdb
页:
[1]